技术领域technical field
本申请涉及通信领域，具体而言，涉及一种生理指标分析方法及系统。The present application relates to the communication field, and in particular, relates to a physiological index analysis method and system.
背景技术Background technique
随着我国经济发展和医疗水平的提高，人均寿命不断提高，随之而来的人口老龄化问题日益突出。《中国老龄事业发展报告(2014)》显示，截至 2014年底，我国60岁以上老年人口数量达2.12亿，占总人口的15.5％，失能老人超过3800万人；到2025年前，我国高龄老年人口将保持年均100 万的增长态势。With the development of our country's economy and the improvement of medical care, the average life expectancy has been continuously improved, and the problem of population aging has become increasingly prominent. According to the "China Aging Development Report (2014)", as of the end of 2014, the number of elderly people over 60 years old in my country reached 212 million, accounting for 15.5% of the total population, and more than 38 million disabled elderly people; The population will maintain an average annual growth of 1 million.
身体机能退化和疾病容易导致严重的运动障碍，不仅影响老年人的身体健康，而且需要大量的劳动人员负担照顾、护理工作，增加了社会和患者家庭的负担。迅速增加的肢体残障患者和低效、紧缺的康复医疗资源间的矛盾存在扩大化趋势，我国乃至全世界迫切需要更加先进、智能、人性化的康复医疗设备来应对日益严重的“康复大军”，机器人将在这个领域发挥重要作用。Deterioration of physical functions and diseases can easily lead to severe movement disorders, which not only affect the health of the elderly, but also require a large number of laborers to bear care and nursing work, which increases the burden on society and patients' families. The contradiction between the rapidly increasing number of physically disabled patients and the inefficient and scarce rehabilitation medical resources is expanding. my country and the world urgently need more advanced, intelligent and humanized rehabilitation medical equipment to deal with the increasingly serious "rehabilitation army". Robots will play an important role in this field.
目前市场上针对老年及肢体残障患者的康复设备主要包括两类，一类实现代步功能如轮椅类产品，一类实现训练功能如下肢训练脚踏车康复器，但无法监控生理指标，导致病情和康复程度无法实时被知晓，进而无法根据新出现的病情和康复程度制定有效的训练方案。At present, there are mainly two types of rehabilitation equipment for the elderly and physically disabled patients on the market. One type realizes the function of walking, such as wheelchair products, and the other type realizes the function of training the lower limbs. Bike rehabilitation equipment, but cannot monitor physiological indicators, resulting in illness and rehabilitation. It cannot be known in real time, so that an effective training program cannot be formulated according to the emerging illness and the degree of rehabilitation.
针对相关技术中对生理指标分析能力差导致的训练效果受限问题，目前尚未提出有效的解决方案。For the problem of limited training effect caused by poor analysis ability of physiological indicators in related technologies, no effective solution has been proposed so far.
发明内容Contents of the invention
本申请的主要目的在于提供一种生理指标分析方法，以解决对生理指标分析能力差导致的训练效果受限问题。The main purpose of the present application is to provide a physiological index analysis method to solve the problem of limited training effect caused by poor ability to analyze physiological indexes.
为了实现上述目的，根据本申请的一个方面，提供了一种生理指标分析方法。根据本申请的生理指标分析方法包括：获取第一生理指标数据和第一训练数据；对所述第一生理指标数据和所述第一训练数据进行大数据分析，并根据分析结果制定第一训练方案；通过所述第一训练方案进行康复训练，得到第二训练数据，其中，所述第二训练数据用于作为下一级大数据分析的内容。In order to achieve the above object, according to one aspect of the present application, a physiological index analysis method is provided. The physiological index analysis method according to the present application includes: obtaining the first physiological index data and the first training data; performing big data analysis on the first physiological index data and the first training data, and formulating the first training according to the analysis results. program; performing rehabilitation training through the first training program to obtain second training data, wherein the second training data is used as the content of next-level big data analysis.
进一步的，第一训练方案的获取包括：根据对所述第一生理指标数据的大数据分析，得到诊断报告；根据对所述第一训练数据的大数据分析，得到训练评价报告；根据所述诊断报告和所述训练评价报告，制定所述第一训练方案。Further, the acquisition of the first training plan includes: obtaining a diagnosis report according to the big data analysis of the first physiological index data; obtaining a training evaluation report according to the big data analysis of the first training data; A diagnosis report and the training evaluation report are used to formulate the first training program.
进一步的，获取第一生理指标数据包括：检测获得待检测对象的血压、血氧和血糖信息，其中，所述血压、血氧和血糖信息用于诊断所述待检测对象是否存在三高；检测获得待检测对象的脉搏信息，其中，所述脉搏信息用于诊断所述待检测对象是否存在心脏疾病；检测获得待检测对象的体温信息，其中，所述体温信息用于诊断所述待检测对象的体温是否过冷或过热。Further, obtaining the first physiological index data includes: detecting and obtaining the blood pressure, blood oxygen and blood glucose information of the subject to be detected, wherein the blood pressure, blood oxygen and blood glucose information are used to diagnose whether the subject to be detected has three highs; detecting Obtain pulse information of the object to be detected, wherein the pulse information is used to diagnose whether the object to be detected has a heart disease; detect and obtain body temperature information of the object to be detected, wherein the body temperature information is used to diagnose the object to be detected Whether the body temperature is too cold or too hot.
进一步的，第一训练数据/第二训练数据的获取包括：统计康复训练中的时间，得到训练总时长；统计康复训练中的难度，得到平均训练难度；统计康复训练中的速度，得到平均训练速度。Further, the acquisition of the first training data/second training data includes: counting the time in the rehabilitation training to obtain the total training duration; counting the difficulty in the rehabilitation training to obtain the average training difficulty; counting the speed in the rehabilitation training to obtain the average training time speed.
进一步的，所述第一训练方案为在一个训练周期内所需完成的设定操作难度下的训练量。Further, the first training program is the amount of training required to be completed within one training period under the set operation difficulty.
进一步的，得到第二训练数据之后还包括：识别所述第一生理指标数据中的身份信息；根据识别结果建立电子病历卡，并在所述电子病历卡中写入所述分析结果和所述第一训练方案。Further, after obtaining the second training data, it also includes: identifying the identity information in the first physiological index data; establishing an electronic medical record card according to the identification result, and writing the analysis result and the The first training program.
为了实现上述目的，根据本申请的另一方面，提供了一种生理指标分析装置。In order to achieve the above purpose, according to another aspect of the present application, a physiological index analysis device is provided.
根据本申请的生理指标分析装置包括：获取单元，用于获取第一生理指标数据和第一训练数据；分析单元，用于对所述第一生理指标数据和所述第一训练数据进行大数据分析，并根据分析结果制定第一训练方案；训练单元，用于通过所述第一训练方案进行康复训练，得到第二训练数据，其中，所述第二训练数据用于作为下一级大数据分析的内容。The physiological index analysis device according to the present application includes: an acquisition unit for acquiring first physiological index data and first training data; an analysis unit for performing big data analysis on the first physiological index data and the first training data Analyze and formulate a first training program according to the analysis results; a training unit is used to carry out rehabilitation training through the first training program to obtain second training data, wherein the second training data is used as the next level of big data The content of the analysis.
进一步的，所述分析单元包括：诊断模块，用于根据对所述第一生理指标数据的大数据分析，得到诊断报告；训练评价模块，用于根据对所述第一训练数据的大数据分析，得到训练评价报告；方案制定模块，用于根据所述诊断报告和所述训练评价报告，制定所述第一训练方案。Further, the analysis unit includes: a diagnosis module, used to obtain a diagnosis report based on the big data analysis of the first physiological index data; a training evaluation module, used to obtain a diagnosis report based on the big data analysis of the first training data , to obtain a training evaluation report; a program formulation module, configured to formulate the first training program according to the diagnosis report and the training evaluation report.
进一步的，所述获取单元包括：第一检测模块，用于检测获得待检测对象的血压、血氧和血糖信息，其中，所述血压、血氧和血糖信息用于诊断所述待检测对象是否存在三高；第二检测模块，用于检测获得待检测对象的脉搏信息，其中，所述脉搏信息用于诊断所述待检测对象是否存在心脏疾病；第三检测模块，用于检测获得待检测对象的体温信息，其中，所述体温信息用于诊断所述待检测对象的体温是否过冷或过热。Further, the acquisition unit includes: a first detection module, configured to detect and obtain blood pressure, blood oxygen and blood glucose information of the subject to be detected, wherein the blood pressure, blood oxygen and blood glucose information are used to diagnose whether the subject to be detected There are three highs; the second detection module is used to detect and obtain the pulse information of the object to be detected, wherein the pulse information is used to diagnose whether the object to be detected has heart disease; the third detection module is used to detect and obtain the pulse information of the object to be detected Body temperature information of the object, wherein the body temperature information is used to diagnose whether the body temperature of the object to be detected is too cold or too hot.
进一步的，获取单元/训练单元包括：第一统计模块，用于统计康复训练中的时间，得到训练总时长；第二统计模块，用于统计康复训练中的操作难度，得到平均操作难度；第三统计模块，用于统计康复训练中的速度，得到平均训练速度。Further, the acquisition unit/training unit includes: a first statistical module, used to count the time in rehabilitation training, to obtain the total training duration; a second statistical module, used to count the operation difficulty in rehabilitation training, to obtain the average operation difficulty; Three statistical modules, used to count the speed in rehabilitation training and get the average training speed.
在本申请实施例中，采用检测分析的方式，通过循环获取各个阶段的生理指标数据和训练数据，达到了各个阶段训练方案制定的目的，从而实现了提升生理指标分析能力的技术效果，进而解决了由于对生理指标分析能力差造成的训练效果受限的技术问题。In the embodiment of this application, the method of detection and analysis is used to obtain the physiological index data and training data of each stage in a loop, so as to achieve the purpose of formulating the training plan at each stage, thereby achieving the technical effect of improving the analysis ability of physiological indexes, and further solving the problem of The technical problem of limited training effect due to poor analysis ability of physiological indicators was solved.
附图说明Description of drawings
构成本申请的一部分的附图用来提供对本申请的进一步理解，使得本申请的其它特征、目的和优点变得更明显。本申请的示意性实施例附图及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：The accompanying drawings, which constitute a part of this application, are included to provide a further understanding of the application and make other features, objects and advantages of the application apparent. The drawings and descriptions of the schematic embodiments of the application are used to explain the application, and do not constitute an improper limitation to the application. In the attached picture:
图1是根据本申请第一实施例的生理指标分析方法流程示意图；Fig. 1 is a schematic flow chart of a physiological index analysis method according to the first embodiment of the present application;
图2是根据本申请第二实施例的生理指标分析方法流程示意图；Fig. 2 is a schematic flow chart of a physiological index analysis method according to the second embodiment of the present application;
图3是根据本申请第三实施例的生理指标分析方法流程示意图；3 is a schematic flowchart of a physiological index analysis method according to a third embodiment of the present application;
图4是根据本申请第四实施例的生理指标分析方法流程示意图；Fig. 4 is a schematic flowchart of a physiological index analysis method according to a fourth embodiment of the present application;
图5是根据本申请第五实施例的生理指标分析方法流程示意图；Fig. 5 is a schematic flow chart of a physiological index analysis method according to a fifth embodiment of the present application;
图6是根据本申请第一实施例的生理指标分析装置结构示意图；Fig. 6 is a schematic structural diagram of a physiological index analysis device according to the first embodiment of the present application;
图7是根据本申请第二实施例的生理指标分析装置结构示意图；Fig. 7 is a schematic structural diagram of a physiological index analysis device according to the second embodiment of the present application;
图8是根据本申请第三实施例的生理指标分析装置结构示意图；Fig. 8 is a schematic structural diagram of a physiological index analysis device according to a third embodiment of the present application;
图9是根据本申请第四实施例的生理指标分析装置结构示意图；Fig. 9 is a schematic structural diagram of a physiological index analysis device according to a fourth embodiment of the present application;
图10是根据本申请实施例的康复训练的结构示意图。Fig. 10 is a schematic structural diagram of rehabilitation training according to an embodiment of the present application.
具体实施方式Detailed ways
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for the embodiments of the application described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.
在本申请中，术语“上”、“下”、“左”、“右”、“前”、“后”、“顶”、“底”、“内”、“外”、“中”、“竖直”、“水平”、“横向”、“纵向”等指示的方位或位置关系为基于附图所示的方位或位置关系。这些术语主要是为了更好地描述本实用新型及其实施例，并非用于限定所指示的装置、元件或组成部分必须具有特定方位，或以特定方位进行构造和操作。In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", The orientations or positional relationships indicated by "vertical", "horizontal", "horizontal", and "longitudinal" are based on the orientations or positional relationships shown in the drawings. These terms are mainly used to better describe the present invention and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation, or be constructed and operated in a specific orientation.
并且，上述部分术语除了可以用于表示方位或位置关系以外，还可能用于表示其他含义，例如术语“上”在某些情况下也可能用于表示某种依附关系或连接关系。对于本领域普通技术人员而言，可以根据具体情况理解这些术语在本发明中的具体含义。Moreover, some of the above terms may be used to indicate other meanings besides orientation or positional relationship, for example, the term "upper" may also be used to indicate a certain attachment relationship or connection relationship in some cases. Those skilled in the art can understand the specific meanings of these terms in the present invention according to specific situations.
此外，术语“安装”、“设置”、“设有”、“连接”、“相连”、“套接”应做广义理解。例如，可以是固定连接，可拆卸连接，或整体式构造；可以是机械连接，或电连接；可以是直接相连，或者是通过中间媒介间接相连，又或者是两个装置、元件或组成部分之间内部的连通。对于本领域普通技术人员而言，可以根据具体情况理解上述术语在本发明中的具体含义。Furthermore, the terms "installed", "disposed", "provided", "connected", "connected", "socketed" are to be interpreted broadly. For example, it may be a fixed connection, a detachable connection, or an integral structure; it may be a mechanical connection or an electrical connection; it may be a direct connection or an indirect connection through an intermediary; internal connectivity. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.
需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。下面将参考附图并结合实施例来详细说明本申请。It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
根据本发明实施例，提供了一种生理指标分析方法，如图1所示，该方法包括如下的步骤S102至步骤S106：According to an embodiment of the present invention, a physiological index analysis method is provided, as shown in FIG. 1 , the method includes the following steps S102 to S106:
S102、获取第一生理指标数据和第一训练数据；S102. Obtain first physiological index data and first training data;
生理指标数据是指反应某一个患者在一个训练周期内的身体状况的数据，其包括但不限于，血压、脉搏、血氧、体温、心电、呼吸以及血糖信息，通过上述信息反应人体各项机能状况，上述信息的形式可以为周期内的折线图，用于反应该周期内的各项指标的变化情况；第一生理指标数据是指该周期内采集获得的各项指标变化情况。训练数据是指反应某一个患者在一个训练周期内的训练情况的数据，其包括但不限于，训练时间、操作难度和训练速度信息，通过上述信息反应训练强度状况；第一训练数据是指上一个训练周期内得到，在本周期内进行分析的数据，第二训练数据是指本周期内得到，在下一个训练周期内进行分析的数据。生理指标数据和训练数据的获取可以通过传感器检测，也可以通过其他装置的统计得到。为大数据分析提供保障。Physiological index data refers to the data that reflects the physical condition of a certain patient within a training cycle, including but not limited to blood pressure, pulse, blood oxygen, body temperature, ECG, respiration and blood sugar information, through which the above information reflects the various aspects of the human body. For functional status, the above information can be in the form of a line graph within a period, which is used to reflect the changes of various indicators within the period; the first physiological indicator data refers to the changes of various indicators collected during the period. Training data refers to the data that reflects the training situation of a certain patient in a training period, including but not limited to, training time, operation difficulty and training speed information, and the training intensity is reflected through the above information; the first training data refers to the above The data obtained in one training period and analyzed in this period, and the second training data refer to the data obtained in this period and analyzed in the next training period. Physiological index data and training data can be acquired through sensor detection, and can also be obtained through statistics of other devices. Provide guarantee for big data analysis.
S104、对所述第一生理指标数据和所述第一训练数据进行大数据分析，并根据分析结果制定第一训练方案；S104. Perform big data analysis on the first physiological index data and the first training data, and formulate a first training plan according to the analysis results;
通过对生理指标数据的大数据分析，可以得到患者的身体诊断报告，了解患者的病情；通过对训练数据的大数据分析，可以得到患者在有针对的进行一个训练周期的康复训练(腿部或手部锻炼)后的康复程度；大数据分析的形式：根据医者输入或本方法中判断的病情不断更新、完善病例库，从而能够精确的通过病例库对应的症状，和生理指标数据作比对，从而诊断患者的病情；通过本训练周期统计得到的训练数据，与上一个周期内计划的方案作比对，并分析得到训练完成度，完成度与训练强度有关，强度越大，完成度越高；医者、者监护人或者计算机可以根据训练完成度可以评价患者的康复程度；将大数据分析得到的病情和康复程度作为制定训练方案的影响条件。从而监护人、医者或者计算机可以实时了解患者的病情和康复程度，并且通过制定有效的训练方案，实现训练效果的提升。第一训练方案是指本训练周期内分析制定的训练参考数据，为下一个训练周期内的训练提供保证。优选的，所述第一训练方案为在一个训练周期内所需完成的设定操作难度下的训练量。Through the big data analysis of the physiological index data, the patient's physical diagnosis report can be obtained to understand the patient's condition; through the big data analysis of the training data, it can be obtained that the patient is performing a targeted rehabilitation training for a training cycle (leg or The degree of recovery after hand exercise); the form of big data analysis: according to the doctor's input or the condition judged in this method, the case database is continuously updated and improved, so that the symptoms corresponding to the case database can be accurately compared with the physiological index data , so as to diagnose the patient's condition; the training data obtained through the statistics of this training cycle is compared with the plan planned in the previous cycle, and the degree of training completion is obtained through analysis. The degree of completion is related to the intensity of training. The greater the intensity, the higher the degree of completion. High; doctors, patient guardians or computers can evaluate the degree of rehabilitation of patients according to the degree of training completion; the condition and degree of rehabilitation obtained from big data analysis are used as the influencing conditions for formulating training programs. In this way, guardians, doctors or computers can understand the patient's condition and recovery level in real time, and improve the training effect by formulating effective training programs. The first training plan refers to the training reference data analyzed and formulated in the current training cycle, which provides guarantee for the training in the next training cycle. Preferably, the first training program is the amount of training that needs to be completed within a training period under the set operation difficulty.
S106、通过所述第一训练方案进行康复训练，得到第二训练数据，其中，所述第二训练数据用于作为下一级大数据分析的内容。S106. Perform rehabilitation training through the first training program to obtain second training data, where the second training data is used as content for next-level big data analysis.
下一级大数据分析是指第二训练数据作为下一个训练周期内进行大数据分析的影响因素，如此循环往复，直至康复程度达到理想的程度。患者可以参考训练方案，通过腿部或手部训练装置进行康复训练；作为本实施例中优选的，仅通过腿部训练装置进行康复训练，且该训练装置具有移动出行的功能，如图 10所示，该训练装置为机器人本体，机器人本体包括：康复训练单元和出行单元，康复训练单元，用于在调节的康复训练模式下进行康复训练，所述康复训练模式为根据训练强度等级划分；出行单元，用于根据设置的启停、转向和移动速度进行移动或停止；本实施例中优选为腿部康复训练，针对于老年人腿脚不便利的现状，给出有效的训练方式；训练模式调节可以通过语音识别控制、按键开关控制等实现触发，在收到该触发并识别后，再进行具体的控制；按照训练强度划分多个强度等级，每个强度等级对应一个触发信号，识别对应强度的触发信号后，控制调节至该相应训练模式下，训练强度与训练时间、操作难度有关，时间越长、难度越大则训练强度越强；从而能够通过康复单元实现患者有针对的康复训练。启停、转向和移动速度可以通过语音识别控制、按键开关控制等实现触发，在辨别该触发后，再进行具体的控制；通过出行单元2 实现无需人为控制启停、转向和移动速度，提升了智能化程度，而且避免了人为控制转向、移动速度的不精确性。The next level of big data analysis refers to the second training data as the influencing factors of big data analysis in the next training cycle, and so on, until the degree of rehabilitation reaches the ideal level. The patient can refer to the training plan and carry out rehabilitation training through the leg or hand training device; as preferred in this embodiment, only the leg training device is used for rehabilitation training, and the training device has the function of traveling, as shown in Figure 10 As shown, the training device is a robot body, and the robot body includes: a rehabilitation training unit and a travel unit, and the rehabilitation training unit is used to perform rehabilitation training under the adjusted rehabilitation training mode, and the rehabilitation training mode is divided according to the training intensity level; travel The unit is used to move or stop according to the set start and stop, turning and moving speed; in this embodiment, it is preferably leg rehabilitation training, and an effective training method is given for the inconvenient current situation of the elderly's legs and feet; training mode adjustment Triggering can be realized through voice recognition control, key switch control, etc. After receiving and recognizing the trigger, specific control is carried out; multiple intensity levels are divided according to the training intensity, each intensity level corresponds to a trigger signal, and the corresponding intensity is identified After the signal is triggered, the control is adjusted to the corresponding training mode. The training intensity is related to the training time and operation difficulty. The longer the time and the greater the difficulty, the stronger the training intensity; thus, the rehabilitation unit can be used to achieve targeted rehabilitation training for patients. Start-stop, turning and moving speed can be triggered by voice recognition control, key switch control, etc. After identifying the trigger, specific control can be carried out; through the travel unit 2, no human control of start-stop, turning and moving speed is required, which improves the The degree of intelligence, and avoid the inaccuracy of artificial control of steering and moving speed.
从以上的描述中，可以看出，本发明实现了如下技术效果：From the above description, it can be seen that the present invention achieves the following technical effects:
在本申请实施例中，采用检测分析的方式，通过循环获取各个阶段的生理指标数据和训练数据，达到了各个阶段训练方案制定的目的，从而实现了提升生理指标分析能力的技术效果，进而解决了由于对生理指标分析能力差造成的训练效果受限的技术问题。In the embodiment of this application, the method of detection and analysis is used to obtain the physiological index data and training data of each stage in a loop, so as to achieve the purpose of formulating the training plan at each stage, thereby achieving the technical effect of improving the analysis ability of physiological indexes, and further solving the problem of The technical problem of limited training effect due to poor analysis ability of physiological indicators was solved.
根据本发明实施例，优选地，如图2所示，第一训练方案的获取包括：According to an embodiment of the present invention, preferably, as shown in FIG. 2, the acquisition of the first training program includes:
S202、根据对所述第一生理指标数据的大数据分析，得到诊断报告；S202. Obtain a diagnosis report according to the big data analysis of the first physiological index data;
S204、根据对所述第一训练数据的大数据分析，得到训练评价报告；S204. Obtain a training evaluation report according to the big data analysis of the first training data;
S206、根据所述诊断报告和所述训练评价报告，制定所述第一训练方案。S206. Formulate the first training program according to the diagnosis report and the training evaluation report.
通过对生理指标数据的大数据分析，可以得到患者的身体诊断报告，了解患者的病情；通过对训练数据的大数据分析，可以得到患者在有针对的进行一个训练周期的康复训练(腿部或手部锻炼)后的康复程度，即训练评价报告；将大数据分析得到的病情和康复程度作为制定训练方案的影响条件。从而监护人、医者或者计算机可以实时了解患者的病情和康复程度，并且通过制定有效的训练方案，实现训练效果的提升。Through the big data analysis of the physiological index data, the patient's physical diagnosis report can be obtained to understand the patient's condition; through the big data analysis of the training data, it can be obtained that the patient is performing a targeted rehabilitation training for a training cycle (leg or The degree of rehabilitation after hand exercise), that is, the training evaluation report; the condition and degree of rehabilitation obtained from big data analysis are used as the influencing conditions for formulating training programs. In this way, guardians, doctors or computers can understand the patient's condition and recovery level in real time, and improve the training effect by formulating effective training programs.
根据本发明实施例，优选地，如图3所示，获取第一生理指标数据包括：According to an embodiment of the present invention, preferably, as shown in FIG. 3, obtaining the first physiological index data includes:
S302、检测获得待检测对象的血压、血氧和血糖信息，其中，所述血压、血氧和血糖信息用于诊断所述待检测对象是否存在三高；S302. Detect and obtain the blood pressure, blood oxygen and blood glucose information of the subject to be detected, wherein the blood pressure, blood oxygen and blood glucose information is used to diagnose whether the subject to be detected has three highs;
S304、检测获得待检测对象的脉搏信息，其中，所述脉搏信息用于诊断所述待检测对象是否存在心脏疾病；S304. Detect and obtain the pulse information of the object to be detected, wherein the pulse information is used to diagnose whether the object to be detected has a heart disease;
S306、检测获得待检测对象的体温信息，其中，所述体温信息用于诊断所述待检测对象的体温是否过冷或过热。S306. Detect and obtain body temperature information of the object to be detected, wherein the body temperature information is used to diagnose whether the body temperature of the object to be detected is too cold or too hot.
通过血压、血氧和血糖信息可以判断患者是否存在三高，只要有一项不符合即判断为具有三高；通过血压传感器、血氧传感器、血糖检测仪分别周期性检测血压、血氧和血糖数据；并且在上述数据超出设定的上限阈值时，判断为三高，或过低时，判断为营养不良等；通过脉搏信息可以判断患者是否存在心脏疾病；通过体温信息可以判断是否感冒或者寒冷；从而可以根据判断的情况，制定合理、有效，以及针不同患者的不同训练方案，使运动量不会超出患者身体上限；也不会量太少而达不到训练效果。Through blood pressure, blood oxygen and blood sugar information, it can be judged whether the patient has three highs, as long as one of them does not meet, it is judged to have three highs; through the blood pressure sensor, blood oxygen sensor, and blood glucose detector, the data of blood pressure, blood oxygen and blood sugar are periodically detected respectively ; And when the above data exceeds the set upper threshold, it is judged as three highs, or when it is too low, it is judged as malnutrition, etc.; through the pulse information, it can be judged whether the patient has heart disease; through the body temperature information, it can be judged whether it is a cold or cold; Therefore, according to the judged situation, we can formulate reasonable, effective and different training programs for different patients, so that the amount of exercise will not exceed the upper limit of the patient's body; nor will the amount of exercise be too small to achieve the training effect.
根据本发明实施例，优选地，如图4所示，第一训练数据/第二训练数据的获取包括：According to an embodiment of the present invention, preferably, as shown in FIG. 4, the acquisition of the first training data/second training data includes:
S402、统计康复训练中的时间，得到训练总时长；S402. Count the time in the rehabilitation training to obtain the total training time;
S404、统计康复训练中的难度，得到平均训练难度；S404, count the difficulty in the rehabilitation training, and obtain the average training difficulty;
S406、统计康复训练中的速度，得到平均训练速度。S406. Count the speed in the rehabilitation training to obtain the average training speed.
训练时间为一个训练周期内的训练的总时长，训练难度为一个训练周期内的平均训练难度，训练速度为一个训练周期内的训练速度，通过以上三个参数在达到训练周期后，再参照上一个周期内的训练方案，评价训练完成度；比如：通过训练速度、训练时间计算出训练量，与训练方案中的制定的训练量做比对，若超出制定的训练量，且操作难度也超出设定的操作难度，则认为训练完成度超过100％，反之低于100％；从而通过多个阶段的训练完成度能够衡量康复程度，达到循序渐进的训练效果。The training time is the total duration of training in a training cycle, the training difficulty is the average training difficulty in a training cycle, and the training speed is the training speed in a training cycle. After reaching the training cycle through the above three parameters, refer to the above A training program within a cycle, to evaluate the degree of training completion; for example: calculate the training volume through the training speed and training time, and compare it with the specified training volume in the training program. If the specified training volume is exceeded, and the operation difficulty is also exceeded The set operation difficulty is considered to be more than 100% of the training completion, otherwise it is less than 100%; thus, the degree of rehabilitation can be measured through multiple stages of training completion to achieve a gradual training effect.
根据本发明实施例，优选地，如图5所示，得到第二训练数据之后还包括：According to an embodiment of the present invention, preferably, as shown in FIG. 5 , after obtaining the second training data, it also includes:
S502、识别所述第一生理指标数据中的身份信息；S502. Identify the identity information in the first physiological index data;
S504、根据识别结果建立电子病历卡，并在所述电子病历卡中写入所述分析结果和所述第一训练方案。S504. Create an electronic medical record card according to the identification result, and write the analysis result and the first training plan in the electronic medical record card.
建立某一位患者的电子病历卡，并将每一个训练周期内的病情、康复程度作为病历内容写入卡上，从而便于事后查询，以及再次病发时，能够作为监护人或医者参考，提供治疗方案。Create an electronic medical record card for a certain patient, and write the condition and degree of recovery in each training cycle into the card as the content of the medical record, so as to facilitate subsequent inquiries, and when the disease occurs again, it can be used as a reference for guardians or doctors to provide treatment Program.
需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。It should be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical order is shown in the flowcharts, in some cases, The steps shown or described may be performed in an order different than here.
根据本发明实施例，还提供了一种用于实施上述生理指标分析方法的装置，如图6所示，该装置包括：获取单元10，用于获取第一生理指标数据和第一训练数据；分析单元2，用于对所述第一生理指标数据和所述第一训练数据进行大数据分析，并根据分析结果制定第一训练方案；训练单元，用于通过所述第一训练方案进行康复训练，得到第二训练数据，其中，所述第二训练数据用于作为下一级大数据分析的内容。According to an embodiment of the present invention, a device for implementing the above physiological index analysis method is also provided. As shown in FIG. 6 , the device includes: an acquisition unit 10, configured to acquire first physiological index data and first training data; The analysis unit 2 is used to perform big data analysis on the first physiological index data and the first training data, and formulate a first training plan according to the analysis results; a training unit is used to perform rehabilitation through the first training plan training to obtain second training data, wherein the second training data is used as content for next-level big data analysis.
具体的，生理指标数据是指反应某一个患者在一个训练周期内的身体状况的数据，其包括但不限于，血压、脉搏、血氧、体温、心电、呼吸以及血糖信息，通过上述信息反应人体各项机能状况，上述信息的形式可以为周期内的折线图，用于反应该周期内的各项指标的变化情况；第一生理指标数据是指该周期内采集获得的各项指标变化情况。训练数据是指反应某一个患者在一个训练周期内的训练情况的数据，其包括但不限于，训练时间、操作难度和训练速度信息，通过上述信息反应训练强度状况；第一训练数据是指上一个训练周期内得到，在本周期内进行分析的数据，第二训练数据是指本周期内得到，在下一个训练周期内进行分析的数据。生理指标数据和训练数据的获取可以通过传感器检测，也可以通过其他装置的统计得到。为大数据分析提供保障。通过对生理指标数据的大数据分析，可以得到患者的身体诊断报告，了解患者的病情；通过对训练数据的大数据分析，可以得到患者在有针对的进行一个训练周期的康复训练(腿部或手部锻炼)后的康复程度；大数据分析的形式：根据医者输入或本方法中判断的病情不断更新、完善病例库，从而能够精确的通过病例库对应的症状，和生理指标数据作比对，从而诊断患者的病情；通过本训练周期统计得到的训练数据，与上一个周期内计划的方案作比对，并分析得到训练完成度，完成度与训练强度有关，强度越大，完成度越高；医者、者监护人或者计算机可以根据训练完成度可以评价患者的康复程度；将大数据分析得到的病情和康复程度作为制定训练方案的影响条件。从而监护人、医者或者计算机可以实时了解患者的病情和康复程度，并且通过制定有效的训练方案，实现训练效果的提升。第一训练方案是指本训练周期内分析制定的训练参考数据，为下一个训练周期内的训练提供保证。优选的，所述第一训练方案为在一个训练周期内所需完成的设定操作难度下的训练量。下一级大数据分析是指第二训练数据作为下一个训练周期内进行大数据分析的影响因素，如此循环往复，直至康复程度达到理想的程度。患者可以参考训练方案，通过腿部或手部训练装置进行康复训练；作为本实施例中优选的，仅通过腿部训练装置进行康复训练，且该训练装置具有移动出行的功能，如图10所示，该训练装置为机器人本体，机器人本体包括：康复训练单元和出行单元，康复训练单元，用于在调节的康复训练模式下进行康复训练，所述康复训练模式为根据训练强度等级划分；出行单元，用于根据设置的启停、转向和移动速度进行移动或停止；本实施例中优选为腿部康复训练，针对于老年人腿脚不便利的现状，给出有效的训练方式；训练模式调节可以通过语音识别控制、按键开关控制等实现触发，在收到该触发并识别后，再进行具体的控制；按照训练强度划分多个强度等级，每个强度等级对应一个触发信号，识别对应强度的触发信号后，控制调节至该相应训练模式下，训练强度与训练时间、操作难度有关，时间越长、难度越大则训练强度越强；从而能够通过康复单元实现患者有针对的康复训练。启停、转向和移动速度可以通过语音识别控制、按键开关控制等实现触发，在辨别该触发后，再进行具体的控制；通过出行单元2实现无需人为控制启停、转向和移动速度，提升了智能化程度，而且避免了人为控制转向、移动速度的不精确性。Specifically, the physiological index data refers to the data that reflects the physical condition of a certain patient in a training period, including but not limited to, blood pressure, pulse, blood oxygen, body temperature, ECG, respiration and blood sugar information. For the status of various functions of the human body, the above information can be in the form of a line graph within a period, which is used to reflect the changes of various indicators within the period; the first physiological indicator data refers to the changes of various indicators collected during the period . Training data refers to the data that reflects the training situation of a certain patient in a training period, including but not limited to, training time, operation difficulty and training speed information, and the training intensity is reflected through the above information; the first training data refers to the above The data obtained in one training period and analyzed in this period, and the second training data refer to the data obtained in this period and analyzed in the next training period. Physiological index data and training data can be acquired through sensor detection, and can also be obtained through statistics of other devices. Provide guarantee for big data analysis. Through the big data analysis of the physiological index data, the patient's physical diagnosis report can be obtained to understand the patient's condition; through the big data analysis of the training data, it can be obtained that the patient is performing a targeted rehabilitation training for a training cycle (leg or The degree of recovery after hand exercise); the form of big data analysis: according to the doctor's input or the condition judged in this method, the case database is continuously updated and improved, so that the symptoms corresponding to the case database can be accurately compared with the physiological index data , so as to diagnose the patient's condition; the training data obtained through the statistics of this training cycle is compared with the plan planned in the previous cycle, and the degree of training completion is obtained through analysis. The degree of completion is related to the intensity of training. The greater the intensity, the higher the degree of completion. High; doctors, patient guardians or computers can evaluate the degree of rehabilitation of patients according to the degree of training completion; the condition and degree of rehabilitation obtained from big data analysis are used as the influencing conditions for formulating training programs. In this way, guardians, doctors or computers can understand the patient's condition and recovery level in real time, and improve the training effect by formulating effective training programs. The first training plan refers to the training reference data analyzed and formulated in the current training cycle, which provides guarantee for the training in the next training cycle. Preferably, the first training program is the amount of training that needs to be completed within a training period under the set operation difficulty. The next level of big data analysis refers to the second training data as the influencing factors of big data analysis in the next training cycle, and so on, until the degree of rehabilitation reaches the ideal level. The patient can refer to the training plan and carry out rehabilitation training through the leg or hand training device; as preferred in this embodiment, only the leg training device is used for rehabilitation training, and the training device has the function of traveling, as shown in Figure 10 As shown, the training device is a robot body, and the robot body includes: a rehabilitation training unit and a travel unit, and the rehabilitation training unit is used to perform rehabilitation training under the adjusted rehabilitation training mode, and the rehabilitation training mode is divided according to the training intensity level; travel The unit is used to move or stop according to the set start and stop, turning and moving speed; in this embodiment, it is preferably leg rehabilitation training, and an effective training method is given for the inconvenient current situation of the elderly's legs and feet; training mode adjustment Triggering can be realized through voice recognition control, key switch control, etc. After receiving and recognizing the trigger, specific control is carried out; multiple intensity levels are divided according to the training intensity, each intensity level corresponds to a trigger signal, and the corresponding intensity is identified After the signal is triggered, the control is adjusted to the corresponding training mode. The training intensity is related to the training time and operation difficulty. The longer the time and the greater the difficulty, the stronger the training intensity; thus, the rehabilitation unit can be used to achieve targeted rehabilitation training for patients. Start and stop, turning and moving speed can be triggered by voice recognition control, key switch control, etc., and then carry out specific control after identifying the trigger; through the travel unit 2, no human control of starting and stopping, turning and moving speed is required, which improves the The degree of intelligence, and avoid the inaccuracy of artificial control of steering and moving speed.
从以上的描述中，可以看出，本发明实现了如下技术效果：From the above description, it can be seen that the present invention achieves the following technical effects:
在本申请实施例中，采用检测分析的方式，通过循环获取各个阶段的生理指标数据和训练数据，达到了各个阶段训练方案制定的目的，从而实现了提升生理指标分析能力的技术效果，进而解决了由于对生理指标分析能力差造成的训练效果受限的技术问题。In the embodiment of this application, the method of detection and analysis is used to obtain the physiological index data and training data of each stage in a loop, so as to achieve the purpose of formulating the training plan at each stage, thereby achieving the technical effect of improving the analysis ability of physiological indexes, and further solving the problem of The technical problem of limited training effect due to poor analysis ability of physiological indicators was solved.
根据本发明实施例，优选地，如图7所示，所述分析单元2包括：诊断模块，用于根据对所述第一生理指标数据的大数据分析，得到诊断报告；训练评价模块，用于根据对所述第一训练数据的大数据分析，得到训练评价报告；方案制定模块，用于根据所述诊断报告和所述训练评价报告，制定所述第一训练方案。通过对生理指标数据的大数据分析，可以得到患者的身体诊断报告，了解患者的病情；通过对训练数据的大数据分析，可以得到患者在有针对的进行一个训练周期的康复训练(腿部或手部锻炼)后的康复程度，即训练评价报告；将大数据分析得到的病情和康复程度作为制定训练方案的影响条件。从而监护人、医者或者计算机可以实时了解患者的病情和康复程度，并且通过制定有效的训练方案，实现训练效果的提升。According to the embodiment of the present invention, preferably, as shown in FIG. 7 , the analysis unit 2 includes: a diagnosis module, configured to obtain a diagnosis report based on the big data analysis of the first physiological index data; a training evaluation module, used to Obtaining a training evaluation report based on the big data analysis of the first training data; a program formulation module configured to formulate the first training program based on the diagnosis report and the training evaluation report. Through the big data analysis of the physiological index data, the patient's physical diagnosis report can be obtained to understand the patient's condition; through the big data analysis of the training data, it can be obtained that the patient is performing a targeted rehabilitation training for a training cycle (leg or The degree of rehabilitation after hand exercise), that is, the training evaluation report; the condition and degree of rehabilitation obtained from big data analysis are used as the influencing conditions for formulating training programs. In this way, guardians, doctors or computers can understand the patient's condition and recovery level in real time, and improve the training effect by formulating effective training programs.
根据本发明实施例，优选地，如图8所示，所述获取单元10包括：第一检测模块，用于检测获得待检测对象的血压、血氧和血糖信息，其中，所述血压、血氧和血糖信息用于诊断所述待检测对象是否存在三高；第二检测模块，用于检测获得待检测对象的脉搏信息，其中，所述脉搏信息用于诊断所述待检测对象是否存在心脏疾病；第三检测模块，用于检测获得待检测对象的体温信息，其中，所述体温信息用于诊断所述待检测对象的体温是否过冷或过热。通过血压、血氧和血糖信息可以判断患者是否存在三高，只要有一项不符合即判断为具有三高；通过血压传感器、血氧传感器、血糖检测仪分别周期性检测血压、血氧和血糖数据；并且在上述数据超出设定的上限阈值时，判断为三高，或过低时，判断为营养不良等；通过脉搏信息可以判断患者是否存在心脏疾病；通过体温信息可以判断是否感冒或者寒冷；从而可以根据判断的情况，制定合理、有效，以及针不同患者的不同训练方案，使运动量不会超出患者身体上限；也不会量太少而达不到训练效果。According to the embodiment of the present invention, preferably, as shown in FIG. 8 , the acquisition unit 10 includes: a first detection module, configured to detect and obtain the blood pressure, blood oxygen and blood glucose information of the subject to be detected, wherein the blood pressure, blood Oxygen and blood sugar information are used to diagnose whether the subject to be detected has three highs; the second detection module is used to detect and obtain pulse information of the subject to be detected, wherein the pulse information is used to diagnose whether the subject to be detected has a heart Disease; the third detection module is used to detect and obtain body temperature information of the object to be detected, wherein the body temperature information is used to diagnose whether the body temperature of the object to be detected is too cold or too hot. Through blood pressure, blood oxygen and blood sugar information, it can be judged whether the patient has three highs, as long as one of them does not meet, it is judged to have three highs; through the blood pressure sensor, blood oxygen sensor, and blood glucose detector, the data of blood pressure, blood oxygen and blood sugar are periodically detected respectively ; And when the above data exceeds the set upper threshold, it is judged as three highs, or when it is too low, it is judged as malnutrition, etc.; through the pulse information, it can be judged whether the patient has heart disease; through the body temperature information, it can be judged whether it is a cold or cold; Therefore, according to the judged situation, we can formulate reasonable, effective and different training programs for different patients, so that the amount of exercise will not exceed the upper limit of the patient's body; nor will the amount of exercise be too small to achieve the training effect.
根据本发明实施例，优选地，如图9所示，获取单元10/训练单元包括：第一统计模块，用于统计康复训练中的时间，得到训练总时长；第二统计模块，用于统计康复训练中的操作难度，得到平均操作难度；第三统计模块，用于统计康复训练中的速度，得到平均训练速度。训练时间为一个训练周期内的训练的总时长，训练难度为一个训练周期内的平均训练难度，训练速度为一个训练周期内的训练速度，通过以上三个参数在达到训练周期后，再参照上一个周期内的训练方案，评价训练完成度；比如：通过训练速度、训练时间计算出训练量，与训练方案中的制定的训练量做比对，若超出制定的训练量，且操作难度也超出设定的操作难度，则认为训练完成度超过100％，反之低于100％；从而通过多个阶段的训练完成度能够衡量康复程度，达到循序渐进的训练效果。According to the embodiment of the present invention, preferably, as shown in Figure 9, the acquisition unit 10/training unit includes: a first statistical module, used to count the time in rehabilitation training, to obtain the total training duration; a second statistical module, used to count The operation difficulty in the rehabilitation training is used to obtain the average operation difficulty; the third statistical module is used to count the speed in the rehabilitation training to obtain the average training speed. The training time is the total duration of training in a training cycle, the training difficulty is the average training difficulty in a training cycle, and the training speed is the training speed in a training cycle. After reaching the training cycle through the above three parameters, refer to the above A training program within a cycle, to evaluate the degree of training completion; for example: calculate the training volume through the training speed and training time, and compare it with the specified training volume in the training program. If the specified training volume is exceeded, and the operation difficulty is also exceeded The set operation difficulty is considered to be more than 100% of the training completion, otherwise it is less than 100%; thus, the degree of rehabilitation can be measured through multiple stages of training completion to achieve a gradual training effect.
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Optionally, they can be implemented with program codes executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be made into individual integrated circuit modules, or they can be integrated into Multiple modules or steps are fabricated into a single integrated circuit module to realize. As such, the present invention is not limited to any specific combination of hardware and software.
以上所述仅为本申请的优选实施例而已，并不用于限制本申请，对于本领域的技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的保护范围之内。The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, there may be various modifications and changes in the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810085712.6ACN108091382A (en) | 2018-01-29 | 2018-01-29 | Physical signs analysis method and system |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810085712.6ACN108091382A (en) | 2018-01-29 | 2018-01-29 | Physical signs analysis method and system |
| Publication Number | Publication Date |
|---|---|
| CN108091382Atrue CN108091382A (en) | 2018-05-29 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810085712.6APendingCN108091382A (en) | 2018-01-29 | 2018-01-29 | Physical signs analysis method and system |
| Country | Link |
|---|---|
| CN (1) | CN108091382A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108847287A (en)* | 2018-06-11 | 2018-11-20 | 北京中迈远见科技有限公司 | A kind of addict received treatment's rehabilitation assessment system and method based on portrait label |
| CN110942813A (en)* | 2018-09-21 | 2020-03-31 | 北京国双科技有限公司 | Distribution method and system for training formation, storage medium and processor |
| CN115376652A (en)* | 2022-10-24 | 2022-11-22 | 山东宝德龙健身器材有限公司 | Chest pushing and lifting exercise system for rehabilitation training |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630349A (en)* | 2009-01-07 | 2010-01-20 | 深圳先进技术研究院 | Novel remote rehabilitation and treatment device based on body feel network |
| CN103892814A (en)* | 2014-03-31 | 2014-07-02 | 无锡首康科技有限公司 | Treadmill control method for exercise rehabilitation therapy system |
| CN104305977A (en)* | 2014-10-15 | 2015-01-28 | 北京理工大学 | Exercise monitoring and management system applied to diabetes rehabilitation |
| CN106166366A (en)* | 2016-08-31 | 2016-11-30 | 山东英克莱集团有限公司 | A kind of rehabilitation treadmill data-sharing systems |
| CN107038331A (en)* | 2016-11-23 | 2017-08-11 | 阿坝师范学院 | A kind of recovery and healthy instructs system |
| CN107564585A (en)* | 2017-07-06 | 2018-01-09 | 四川护理职业学院 | Brain palsy recovery management system and method based on cloud platform |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630349A (en)* | 2009-01-07 | 2010-01-20 | 深圳先进技术研究院 | Novel remote rehabilitation and treatment device based on body feel network |
| CN103892814A (en)* | 2014-03-31 | 2014-07-02 | 无锡首康科技有限公司 | Treadmill control method for exercise rehabilitation therapy system |
| CN104305977A (en)* | 2014-10-15 | 2015-01-28 | 北京理工大学 | Exercise monitoring and management system applied to diabetes rehabilitation |
| CN106166366A (en)* | 2016-08-31 | 2016-11-30 | 山东英克莱集团有限公司 | A kind of rehabilitation treadmill data-sharing systems |
| CN107038331A (en)* | 2016-11-23 | 2017-08-11 | 阿坝师范学院 | A kind of recovery and healthy instructs system |
| CN107564585A (en)* | 2017-07-06 | 2018-01-09 | 四川护理职业学院 | Brain palsy recovery management system and method based on cloud platform |
| Title |
|---|
| 刘全礼等: "《剑侠之道与特殊教育发展 第一届中国特殊教育华山论剑》", 30 June 2016, 中国轻工业出版社* |
| 郝丽: "《体医结合视角下的社区养老模式评价》", 31 July 2017, 南开大学出版社* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108847287A (en)* | 2018-06-11 | 2018-11-20 | 北京中迈远见科技有限公司 | A kind of addict received treatment's rehabilitation assessment system and method based on portrait label |
| CN108847287B (en)* | 2018-06-11 | 2022-02-18 | 北京中迈远见科技有限公司 | Rehabilitation assessment system and method for drug addicts based on portrait label |
| CN110942813A (en)* | 2018-09-21 | 2020-03-31 | 北京国双科技有限公司 | Distribution method and system for training formation, storage medium and processor |
| CN110942813B (en)* | 2018-09-21 | 2023-02-21 | 北京国双科技有限公司 | Distribution method and system for training formation, storage medium and processor |
| CN115376652A (en)* | 2022-10-24 | 2022-11-22 | 山东宝德龙健身器材有限公司 | Chest pushing and lifting exercise system for rehabilitation training |
| Publication | Publication Date | Title |
|---|---|---|
| TW201918222A (en) | Method and apparatus for high accuracy photoplethysmogram based atrial fibrillation detection using wearable device | |
| EP4233713A2 (en) | System for diagnosis and notification regarding the onset of a stroke | |
| CN206601705U (en) | A kind of medical treatment ＆ health system based on Remote data service with analysis | |
| KR20190008992A (en) | Determination of baseline conditions and stress coping abilities | |
| Li et al. | Noninvasive blood glucose monitoring using spatiotemporal ECG and PPG feature fusion and weight-based choquet integral multimodel approach | |
| CN105979006A (en) | Community intelligent physical examination service system and working method thereof | |
| CN104545899A (en) | Senile dementia monitoring system based on mobile internet | |
| CN114202772B (en) | Reference information generation system and method based on artificial intelligence and intelligent medical treatment | |
| CN107296600A (en) | A kind of quick 12 lead electrocardiosignal method for evaluating quality | |
| US10758188B2 (en) | Stroke detection and prevention system and method | |
| CN108091382A (en) | Physical signs analysis method and system | |
| CN106650265A (en) | Intelligent medical diagnosis system | |
| WO2016168979A1 (en) | Vital sign analysis method and system | |
| Fang et al. | Spatial temporal GRU convnets for vision-based real time epileptic seizure detection | |
| CN104352229A (en) | Self-help atrial fibrillation detection method based on health monitoring bracelet | |
| CN103169459A (en) | Medical device and implementation method | |
| TWI796275B (en) | Method for disease risk assessment | |
| WO2011021163A1 (en) | Medication and/or treatment regimen compliance | |
| CN110379481A (en) | Disturbances in patients with Parkinson disease management method and system after being ill | |
| CN110200599A (en) | A kind of pulse wave detecting method, terminal device and system | |
| Hosseinzadehketilateh et al. | Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal | |
| CN206602549U (en) | A kind of patient medical quality evaluation system based on big data | |
| WO2020133497A1 (en) | Method for evaluating recovery status of hospital patient, device, system, and storage medium | |
| US11241198B2 (en) | Method and apparatus for synchronizing impedance cardiography with electrocardiography to lower patient auxiliary current | |
| Cui et al. | MOTILITY OF THE UNPREPARED INTESTINAL TRACT IN HEALTHY HUMANS AND PATIENTS WITH SLOW TRANSIT CONSTIPATION REVEALED BY USING MICRO-ELECTRONIC CAPSULE |
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20180529 | |
| RJ01 | Rejection of invention patent application after publication |