技术领域technical field
本发明涉及睡眠监测领域，特别是涉及一种睡眠监测系统。The invention relates to the field of sleep monitoring, in particular to a sleep monitoring system.
背景技术Background technique
睡眠是人体非常重要的生理过程，占据了人一生约30％的时间。轮班、时差等工业化进程产物，导致越来越多的人们遭遇睡眠困扰和疾病。有效的睡眠质量监测有助于监督并评价睡眠者的睡眠状况、给医生提供诊断依据、实现睡眠的调控，改善人们的生活质量。传统的临床方法是用多导睡眠仪(Polysomnography，PSG)采集睡眠期间的生理信号，由睡眠医学专家对采集到的信号进行分析诊断，再给患者提出睡眠建议。可见该方法在分析睡眠数据时仍需要依靠医学专家人工分析，使用不够方便，且易给用户造成心里负担。Sleep is a very important physiological process of the human body, occupying about 30% of a person's life time. Shift work, jet lag, and other products of industrialization are causing more and more people to suffer from sleep disturbances and illnesses. Effective sleep quality monitoring helps to monitor and evaluate the sleep status of sleepers, provide doctors with diagnostic evidence, realize sleep regulation, and improve people's quality of life. The traditional clinical method is to use polysomnography (PSG) to collect physiological signals during sleep, and sleep medicine experts will analyze and diagnose the collected signals, and then give sleep suggestions to patients. It can be seen that this method still needs to rely on manual analysis by medical experts when analyzing sleep data, which is not convenient to use, and it is easy to cause psychological burden to users.
发明内容Contents of the invention
基于此，本发明的目的在于，提供一种睡眠监测系统，其具有使用方便，能够自动分析用户的睡眠数据的优点。Based on this, the object of the present invention is to provide a sleep monitoring system, which has the advantages of being easy to use and capable of automatically analyzing the user's sleep data.
一种睡眠监测系统，包括相互无线连接的监测眼罩、智能终端和睡眠分析平台；所述监测眼罩包括眼罩本体，以及设置于所述眼罩本体上的主控模块和信号采集模块；所述信号采集模块连接至所述主控模块的信号输入端，采集被测者的睡眠数据并传递至所述主控模块；所述主控模块接收所述睡眠数据发送至所述智能终端；所述智能终端接收存储所述睡眠数据并发送至所述睡眠分析平台；所述睡眠分析平台接收所述睡眠数据，通过睡眠分析模型对所述睡眠数据进行特征提取并自动分析，产生睡眠分期结果返回至所述智能终端查收。A sleep monitoring system, comprising monitoring goggles wirelessly connected, an intelligent terminal and a sleep analysis platform; the monitoring goggles include a goggle body, and a main control module and a signal acquisition module arranged on the goggle body; the signal acquisition The module is connected to the signal input terminal of the main control module, collects the sleep data of the subject and transmits it to the main control module; the main control module receives the sleep data and sends it to the intelligent terminal; the intelligent terminal Receive and store the sleep data and send it to the sleep analysis platform; the sleep analysis platform receives the sleep data, extracts and automatically analyzes the features of the sleep data through the sleep analysis model, generates sleep staging results and returns to the Smart terminal checking.
本发明所述的睡眠监测系统，具有使用方便，能够自动分析用户的睡眠数据的优点，便于被测者通过智能终端查看睡眠分期结果，及时对睡眠进行调整，促进身心健康。The sleep monitoring system of the present invention has the advantages of being easy to use and being able to automatically analyze the user's sleep data, which is convenient for the subject to check the sleep staging results through the smart terminal, adjust the sleep in time, and promote physical and mental health.
进一步地，所述睡眠分析模型包括数据输入层、记忆单元层和分类器；所述数据输入层对所述睡眠数据进行处理，提取出睡眠特征并重构获得睡眠特征数据矩阵输出至所述记忆单元层；所述记忆单元层对所述睡眠特征数据矩阵进行过滤，更新，筛选获得睡眠特征权重向量集输出至所述分类器；所述分类器接收所述睡眠特征权重向量集，按照睡眠分期准则进行分类，并输出睡眠分期结果至所述智能终端。该睡眠分析模型能够自动对被测者的睡眠数据进行及时的分析，并给出睡眠分期结果，无需再通过医学专家来分析睡眠数据，提高了睡眠数据的分析效率。Further, the sleep analysis model includes a data input layer, a memory unit layer and a classifier; the data input layer processes the sleep data, extracts sleep features and reconstructs the obtained sleep feature data matrix and outputs it to the memory The unit layer; the memory unit layer filters and updates the sleep feature data matrix, and obtains the sleep feature weight vector set after screening and outputs it to the classifier; the classifier receives the sleep feature weight vector set, and performs sleep classification according to sleep stages Criteria are classified, and sleep staging results are output to the smart terminal. The sleep analysis model can automatically analyze the sleep data of the subject in a timely manner, and provide sleep staging results, without the need for medical experts to analyze sleep data, which improves the analysis efficiency of sleep data.
进一步地，所述数据输入层对所述睡眠数据进行小波分析处理将数据截断，并进行小波逆变换处理获得所述睡眠特征数据点集。Further, the data input layer performs wavelet analysis processing on the sleep data to truncate the data, and performs wavelet inverse transform processing to obtain the sleep characteristic data point set.
进一步地，所述记忆单元层包括依次设置的遗忘门、输入门和输出门；所述遗忘门将经过其的所述睡眠特征数据矩阵过滤获得第一睡眠特征数据点集，并传输至所述输入门；所述输入门将所述第一睡眠特征数据点集记忆并做更新，获得第二睡眠特征数据点集传输至所述输出门；所述输出门在所述第二睡眠特征数据点集中筛选出所述睡眠特征权重向量集输出至所述分类器。Further, the memory unit layer includes a forgetting gate, an input gate and an output gate arranged in sequence; the forgetting gate filters the sleep feature data matrix passing through it to obtain a first set of sleep feature data points, and transmits it to the input Gate; the input gate memorizes and updates the first set of sleep feature data points, obtains a second set of sleep feature data points and transmits them to the output gate; the output gate screens the second set of sleep feature data points The sleep feature weight vector set is output to the classifier.
进一步地，所述分类器包括全连接层和输出层；所述全连接层接收所述睡眠特征权重向量集，按照睡眠分期准则将其进行分类获得概率分布向量组传输至所述输出层输出睡眠分期结果。Further, the classifier includes a fully connected layer and an output layer; the fully connected layer receives the sleep feature weight vector set, classifies it according to the sleep staging criteria to obtain a probability distribution vector group, and transmits it to the output layer to output sleep Staging results.
进一步地，所述信号采集模块包括连接至所述主控模块信号输入端口的生物电采集电路；所述生物电采集电路包括生物电采集芯片、连接至所述生物电采集芯片信号输入端的第一电极、第二电极和第三电极；所述第一电极、第二电极和第三电极均设置于所述眼罩本体上与人体头部待测部位相对应的位置；所述第一电极和第二电极构成双导联，采集人体睡眠时的脑电信号传输至所述生物电采集芯片；所述第一电极和第三电极构成双导联，采集人体睡眠时的眼电信号传输至所述生物电采集芯片；所述生物电采集芯片接收所述脑电信号和所述眼电信号，并传输至所述主控模块。该设置中，通过第一电极、第二电极和第三电极作用于被测者的头部采集脑电和眼电信号，方便快捷。Further, the signal acquisition module includes a bioelectricity acquisition circuit connected to the signal input port of the main control module; the bioelectricity acquisition circuit includes a bioelectricity acquisition chip, a first terminal connected to the signal input port of the bioelectricity acquisition chip electrode, second electrode and third electrode; the first electrode, second electrode and third electrode are all arranged on the eye mask body corresponding to the position to be measured on the human head; the first electrode and the second electrode The two electrodes form a double lead, which collects the electroencephalogram signal of the human body during sleep and transmits it to the bioelectricity collection chip; A bioelectricity collection chip; the bioelectricity collection chip receives the electroencephalogram signal and the electrooculogram signal, and transmits them to the main control module. In this setting, the first electrode, the second electrode and the third electrode act on the head of the subject to collect EEG and electrooculogram signals, which is convenient and quick.
进一步地，所述第一电极设置于所述眼罩本体上与人体头部的太阳穴相对应的位置；所述第二电极设置于所述眼罩本体上与人体头部的前额中心相对应的位置；所述第三电极设置于所述眼罩本体上与人体头部的右前额相对应的位置。人体头部太阳穴、前额中心以及右前额都是人体关键穴位所在，通过对这些穴位的信号采集，获得的睡眠数据更接近于被测者的真实睡眠情况，保证了睡眠分析的准确性。Further, the first electrode is set on the eye mask body at a position corresponding to the temple of the human head; the second electrode is set at the eye mask body at a position corresponding to the forehead center of the human head; The third electrode is arranged on the eye mask body at a position corresponding to the right forehead of the human head. The temples of the human head, the center of the forehead, and the right forehead are the key acupoints of the human body. Through the signal collection of these acupoints, the sleep data obtained are closer to the real sleep conditions of the subjects, ensuring the accuracy of sleep analysis.
进一步地，所述生物电采集电路还包括连接至所述生物电采集芯片信号输出端的第四电极；所述第四电极设置于所述眼罩本体上与人体头部的左前额相对应的位置；所述生物电采集芯片输出肢体驱动电压至所述第四电极作用于被测者头部。Further, the bioelectricity collection circuit also includes a fourth electrode connected to the signal output terminal of the bioelectricity collection chip; the fourth electrode is set on the eye mask body at a position corresponding to the left forehead of the human head; The bioelectricity acquisition chip outputs limb drive voltage to the fourth electrode to act on the head of the subject.
进一步地，所述信号采集模块还包括连接至所述主控模块信号输入端的运动传感器；所述运动传感器采集被测者的体动信号传输至所述主控模块。Further, the signal acquisition module further includes a motion sensor connected to the signal input terminal of the main control module; the motion sensor collects the body movement signal of the subject and transmits it to the main control module.
进一步地，所述睡眠分析平台构建神经网络模型，利用睡眠数据集训练所述神经网络模型获得所述睡眠分析模型。Further, the sleep analysis platform constructs a neural network model, and trains the neural network model with a sleep data set to obtain the sleep analysis model.
为了更好地理解和实施，下面结合附图详细说明本发明。For better understanding and implementation, the present invention will be described in detail below in conjunction with the accompanying drawings.
附图说明Description of drawings
图1是本发明实施例所述的睡眠监测系统的系统框图；Fig. 1 is the system block diagram of the sleep monitoring system described in the embodiment of the present invention;
图2是本发明实施例所述监测眼罩与智能终端通信功能设计原理图Fig. 2 is a schematic diagram of the communication function design between the monitoring goggles and the smart terminal according to the embodiment of the present invention
图3是本发明实施例所述监测眼罩信号采集电路的原理框图；Fig. 3 is a functional block diagram of the monitoring eye mask signal acquisition circuit according to the embodiment of the present invention;
图4是本发明实施例所述监测眼罩信号采集电路的电路原理图；Fig. 4 is a schematic circuit diagram of the monitoring eye mask signal acquisition circuit according to the embodiment of the present invention;
图5是本发明实施例所述蓝牙通信的实现原理图；FIG. 5 is a schematic diagram of the realization of Bluetooth communication according to the embodiment of the present invention;
图6是本发明实施例所述电极的位置示意图；Fig. 6 is a schematic diagram of the position of the electrode described in the embodiment of the present invention;
图7是本发明实施例所述的APP功能实现流程图；Fig. 7 is a flow chart of APP function implementation described in the embodiment of the present invention;
图8是本发明实施例所述的APP的用户账号隐私保护功能设计原理图；Fig. 8 is a design principle diagram of the user account privacy protection function of the APP described in the embodiment of the present invention;
图9是本发明实施例所述的智能终端与睡眠分析平台通信功能实现原理图；Fig. 9 is a schematic diagram of the realization of the communication function between the smart terminal and the sleep analysis platform according to the embodiment of the present invention;
图10是本发明实施例所述睡眠分析模型处理睡眠数据的流程示意图；Fig. 10 is a schematic flow chart of processing sleep data by the sleep analysis model according to an embodiment of the present invention;
图11是本发明实施例所述睡眠分析模型的记忆单元层的原理图；11 is a schematic diagram of the memory unit layer of the sleep analysis model described in the embodiment of the present invention;
图12是本发明所述实施例的睡眠分析模型输出的睡眠分期结果图。Fig. 12 is a graph of sleep staging results output by the sleep analysis model of the embodiment of the present invention.
具体实施方式Detailed ways
在本发明的描述中，需要理解的是，术语“中心”、“纵向”、“横向”、“上”、“下”、“前”、“后”、“左”、“右”、“竖直”、“水平”、“顶”、“底”、“内”、“外”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，仅是为了便于描述本发明和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本发明的限制。在本发明的描述中，除非另有说明，“多个”的含义是两个或两个以上。In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In the description of the present invention, unless otherwise specified, "plurality" means two or more.
请参阅图1，其是本发明实施例所述的睡眠监测系统的系统框图；图2是本发明实施例所述监测眼罩与智能终端通信功能设计原理图。Please refer to FIG. 1 , which is a system block diagram of a sleep monitoring system according to an embodiment of the present invention; FIG. 2 is a schematic diagram of a communication function design between monitoring goggles and an intelligent terminal according to an embodiment of the present invention.
本发明实施例所述的睡眠监测系统，包括相互无线连接的监测眼罩10、智能终端20和睡眠分析平台30；其中监测眼罩10与智能终端20之间通过蓝牙建立连接；智能终端20和睡眠分析平台30之间通过移动网络建立连接，进行睡眠数据的相互传输。The sleep monitoring system described in the embodiment of the present invention includes a monitoring goggle 10, an intelligent terminal 20 and a sleep analysis platform 30 wirelessly connected to each other; wherein the connection between the monitoring goggle 10 and the intelligent terminal 20 is established through Bluetooth; the intelligent terminal 20 and the sleep analysis The platforms 30 are connected through the mobile network to transmit sleep data to each other.
所述监测眼罩10包括眼罩本体，以及设置于所述眼罩本体上的主控模块和信号采集模块；所述信号采集模块连接至所述主控模块的信号输入端，采集被测者的睡眠数据并传递至所述主控模块；所述主控模块接收所述睡眠数据发送至所述智能终端；所述智能终端20接收存储所述睡眠数据，并发送至所述睡眠分析平台30；所述睡眠分析平台30接收所述睡眠数据，通过睡眠分析模型对所述睡眠数据进行特征提取并自动分析，产生睡眠分期结果返回至所述智能终端20查收。The monitoring eye mask 10 includes an eye mask body, and a main control module and a signal acquisition module arranged on the eye mask body; the signal acquisition module is connected to the signal input end of the main control module to collect sleep data of the subject and transmitted to the main control module; the main control module receives the sleep data and sends it to the smart terminal; the smart terminal 20 receives and stores the sleep data, and sends it to the sleep analysis platform 30; The sleep analysis platform 30 receives the sleep data, performs feature extraction and automatic analysis on the sleep data through the sleep analysis model, generates sleep staging results and returns them to the smart terminal 20 for checking.
本发明实施例所述的睡眠监测系统，被测者佩戴好监测眼罩10后按照正常睡眠习惯睡下，打开眼罩上的开关，蓝牙模块进行初始化使主控模块与智能终端建立连接，同时智能终端与睡眠分析平台建立网络连接。被测者睡下后，监测眼罩10中的信号采集模块采集被测者正常睡眠时候的睡眠数据信号，将睡眠数据信号传输至主控模块，主控模块接收所述睡眠数据信号并发送至智能终端20，智能终端20将睡眠原数据信号存储，同时将其发送至睡眠分析模型进行特征提取并自动分析，并产生睡眠分期结果返回至所述智能终端20，被测者就可以通过在智能终端20上查收睡眠分期结果，从而知晓自己的睡眠情况，以便及时做出睡眠调整，促进身心健康。整个操作过程十分方便，且无需通过医学专家分析诊断，减轻了被测者的心里压力。In the sleep monitoring system described in the embodiment of the present invention, the subject wears the monitoring eye mask 10 and sleeps according to normal sleep habits, turns on the switch on the eye mask, and initializes the Bluetooth module to establish a connection between the main control module and the smart terminal. Establish a network connection with the sleep analysis platform. After the subject falls asleep, the signal acquisition module in the monitoring eye mask 10 collects the sleep data signal of the subject during normal sleep, and transmits the sleep data signal to the main control module, and the main control module receives the sleep data signal and sends it to the smart phone. Terminal 20, the smart terminal 20 stores the original sleep data signal, and sends it to the sleep analysis model for feature extraction and automatic analysis, and generates sleep staging results and returns to the smart terminal 20, and the subject can pass through the smart terminal. Check the sleep staging results on the 20th, so as to know your sleep status, so as to make timely sleep adjustments and promote physical and mental health. The whole operation process is very convenient, and there is no need for analysis and diagnosis by medical experts, which reduces the psychological pressure of the testee.
请同时参阅图3、图4和图5，其中图3是本发明实施例所述监测眼罩信号采集电路的原理框图；图4是本发明实施例所述监测眼罩信号采集电路的电路原理图；图5是本发明实施例所述蓝牙通信的实现原理图。Please refer to Fig. 3, Fig. 4 and Fig. 5 at the same time, wherein Fig. 3 is a functional block diagram of the monitoring goggle signal acquisition circuit according to the embodiment of the present invention; Fig. 4 is a circuit schematic diagram of the monitoring goggle signal acquisition circuit according to the embodiment of the present invention; Fig. 5 is a schematic diagram of the realization of Bluetooth communication according to the embodiment of the present invention.
所述监测眼罩10包括眼罩本体，以及设置于所述眼罩本体上的主控电路板和电池；所述主控电路板上设置有所述主控模块和信号采集模块。所述监测眼罩10佩戴在被测者头部，获取被测者正常睡眠时的眼电信号，脑电信号以及体动信号，并通过BLE蓝牙4.0传输至所述智能终端20。The monitoring goggle 10 includes a goggle body, a main control circuit board and a battery arranged on the goggle body; the main control circuit board is provided with the main control module and a signal acquisition module. The monitoring goggles 10 are worn on the head of the subject to obtain electro-oculogram signals, electroencephalogram signals and body movement signals of the subject during normal sleep, and transmit them to the smart terminal 20 through BLE Bluetooth 4.0.
所述眼罩本体为普通眼罩，供被测者睡眠时佩戴，测试时无需在特殊环境下进行，以便能够更方便、准确、有效的测试出睡眠数据。The eye mask body is an ordinary eye mask, which is worn by the subject during sleep, and the test does not need to be carried out in a special environment, so that the sleep data can be tested more conveniently, accurately and effectively.
所述主控模块内部集成了相互电连接的微处理器和无线传输模块；所述微处理器接收所述睡眠数据，并通过所述无线传输模块发送至所述智能终端20。The main control module integrates a microprocessor and a wireless transmission module that are electrically connected to each other; the microprocessor receives the sleep data and sends it to the smart terminal 20 through the wireless transmission module.
具体地，本实施例中，所述主控模块可以为nRF51822芯片，其内部集成了ARMCortex M0处理器和BLE蓝牙模块，用于将采集到的脑电信号、眼电信号及体动信号存入BLE协议栈，再由蓝牙4.0BLE传输协议将睡眠信号发送到智能终端20。Specifically, in this embodiment, the main control module can be an nRF51822 chip, which integrates an ARMCortex M0 processor and a BLE Bluetooth module, and is used to store the collected EEG signals, electroocular signals and body movement signals into The BLE protocol stack, and then the sleep signal is sent to the smart terminal 20 by the Bluetooth 4.0 BLE transmission protocol.
在其他实施例中，该主控模块还可以选用其他的型号，另外也可以由主控芯片和无线传输模块组合而成。In other embodiments, the main control module can also be of other models, and can also be composed of a main control chip and a wireless transmission module.
所述信号采集模块包括连接至所述主控模块信号输入端口的生物电采集电路和体动信号采集电路。The signal acquisition module includes a bioelectricity acquisition circuit and a body motion signal acquisition circuit connected to the signal input port of the main control module.
所述生物电采集电路包括生物电采集芯片、连接至所述生物电采集芯片信号输入端的第一电极、第二电极和第三电极；所述第一电极、第二电极和第三电极均设置于所述眼罩本体上与人体头部待测部位相对应的位置；所述第一电极和第二电极构成双导联，采集人体睡眠时的脑电信号传输至所述生物电采集芯片；所述第一电极和第三电极构成双导联，采集人体睡眠时的眼电信号传输至所述生物电采集芯片；所述生物电采集芯片接收所述脑电信号和所述眼电信号，将脑电信号和眼电信号转换成数字信号并传输至所述主控模块。The bioelectricity acquisition circuit includes a bioelectricity acquisition chip, a first electrode, a second electrode and a third electrode connected to the signal input end of the bioelectricity acquisition chip; the first electrode, the second electrode and the third electrode are all set On the eye mask body corresponding to the position to be measured on the head of the human body; the first electrode and the second electrode form a double lead, which collects the EEG signal of the human body during sleep and transmits it to the bioelectricity collection chip; The first electrode and the third electrode form a double lead, which collects the electrooculometric signal of the human body during sleep and transmits it to the bioelectricity collection chip; the bioelectricity collection chip receives the electroencephalogram signal and the electrooculogram signal, and The electroencephalogram signal and the electrooculogram signal are converted into digital signals and transmitted to the main control module.
进一步地，所述生物电采集电路还包括连接至所述生物电采集芯片信号输出端的第四电极；所述第四电极设置于所述眼罩本体上与人体头部的左前额相对应的位置；所述生物电采集芯片输出肢体驱动电压至所述第四电极作用于被测者头部。Further, the bioelectricity collection circuit also includes a fourth electrode connected to the signal output terminal of the bioelectricity collection chip; the fourth electrode is set on the eye mask body at a position corresponding to the left forehead of the human head; The bioelectricity acquisition chip outputs limb drive voltage to the fourth electrode to act on the head of the subject.
请参阅图6，其是本发明实施例所述电极的位置示意图。具体地，所述第一电极设置于所述眼罩本体上与人体头部的太阳穴相对应的位置，如附图6中所示的靠近左耳处的太阳穴A点；所述第二电极设置于所述眼罩本体上与人体头部的前额中心相对应的位置，如附图6所示的前额中B点；所述第三电极设置于所述眼罩本体上与人体头部的右前额相对应的位置，如附图6所示的右前额C点。所述第四电极为右腿驱动电极，设置于所述眼罩本体上与人体头部的左前额相对应的位置，如附图6所示的左前额D点。人体头部太阳穴、前额中心以及右前额的右眉骨处和左前额的左眉骨处都是人体关键穴位所在，通过对这些穴位的信号采集，获得的睡眠数据更接近于被测者的真实睡眠情况，保证了睡眠分析的准确性。为了尽可能的消除共模干扰信号，本实施例中选择双极导联方式采集脑电信号和眼电信号。其中左眉骨处加入的右腿驱动电压提供了屏蔽信号，以消除生物电放大电路在测量是易受的电磁干扰噪声。Please refer to FIG. 6 , which is a schematic diagram of the position of the electrodes described in the embodiment of the present invention. Specifically, the first electrode is set on the eye mask body corresponding to the temple of the human head, such as the temple A point near the left ear shown in Figure 6; the second electrode is set on the The position on the eye mask body corresponding to the center of the forehead of the human head, such as point B in the forehead shown in Figure 6; the third electrode is arranged on the eye mask body corresponding to the right forehead of the human head The position of the right forehead C point shown in Figure 6. The fourth electrode is the driving electrode of the right leg, which is set on the eye mask body at a position corresponding to the left forehead of the human head, such as point D on the left forehead as shown in FIG. 6 . The temples of the human head, the center of the forehead, the right brow bone of the right forehead, and the left brow bone of the left forehead are all key acupoints of the human body. By collecting signals from these acupoints, the sleep data obtained are closer to the real Sleep conditions ensure the accuracy of sleep analysis. In order to eliminate common-mode interference signals as much as possible, in this embodiment, a bipolar lead method is selected to collect EEG signals and electro-oculogram signals. The driving voltage of the right leg added to the left brow bone provides a shielding signal to eliminate the electromagnetic interference noise that the bioelectrical amplifier circuit is susceptible to during measurement.
脑电及眼电信号的有效提取是睡眠分期监测的基础，正常情况下，一般人的脑电信号(EEG：Electroencephalogram)的信号幅度大约为0-300uV，频率大约为0.5-35Hz，(EOG：Electrooculography)的信号幅度一般在0.4-10mv左右，频率大约为0.2-10Hz，均属于低频的微弱信号，且背景噪声和干扰较为严重。基于以上特点，本实施例中选取了德州仪器公司生产的ADS1293模拟前端芯片采集眼电信号和脑电信号，其与主控模块之间通过SPI方式进行通信。ADS1293内部结构从信号的流向可划分为信号输入接口、信号处理单元和信号输出接口等部分，特有3个能够以25.6kps的速率工作的高分辨率通道，可单独针对每个通道编程特定的采样率和带宽并且可通过一个灵活的选路开关路由至任一通道，即信号输入引脚从IN1～IN6共有6个，每个输入引脚都包含一个电磁干扰过滤器以滤除射频噪声。The effective extraction of EEG and EEG signals is the basis of sleep stage monitoring. Under normal circumstances, the signal amplitude of the EEG (Electroencephalogram) of ordinary people is about 0-300uV, and the frequency is about 0.5-35Hz. (EOG: Electrooculography ) signal amplitude is generally about 0.4-10mv, and the frequency is about 0.2-10Hz, which are all low-frequency weak signals, and the background noise and interference are relatively serious. Based on the above characteristics, in this embodiment, the ADS1293 analog front-end chip produced by Texas Instruments is selected to collect oculoelectric signals and EEG signals, and communicate with the main control module through SPI. The internal structure of ADS1293 can be divided into signal input interface, signal processing unit and signal output interface from the flow direction of the signal. It has 3 high-resolution channels that can work at a rate of 25.6kps, and can program specific sampling for each channel separately. rate and bandwidth and can be routed to any channel through a flexible routing switch, that is, there are 6 signal input pins from IN1 to IN6, and each input pin includes an electromagnetic interference filter to filter out radio frequency noise.
为了满足对EEG及EOG测量的需要，本实施例通过SPI通信协议对ADS1293进行寄存器配置使得IN1为输入脑电信号、IN2输入眼电信号、IN3输入眼电信号和脑电信号的参考端信号、IN4为右腿驱动电路输出通道，放大器带宽为175Hz，ADC采样率为853Hz。In order to meet the needs of EEG and EOG measurement, this embodiment configures the registers of ADS1293 through the SPI communication protocol so that IN1 is the input of the EEG signal, IN2 is the input of the EEG signal, and IN3 is the reference terminal signal for the input of the EEG signal and the EEG signal. IN4 is the output channel of the right leg drive circuit, the amplifier bandwidth is 175Hz, and the ADC sampling rate is 853Hz.
在其他实施例中，采集眼电信号和脑电信号的芯片也可以选用其他型号。In other embodiments, other types of chips can also be selected for collecting the electro-ocular signal and the electroencephalogram signal.
所述信号采集模块还包括连接至所述主控模块信号输入端的运动传感器；所述运动传感器采集被测者睡眠时的体动信号传输至所述主控模块，即当被测者翻身或头部有晃动时，该运动传感器便可以检测到体动信号，辅助EOG、EEG信号进行睡眠分期处理。The signal acquisition module also includes a motion sensor connected to the signal input terminal of the main control module; the motion sensor collects the body movement signal of the subject during sleep and transmits it to the main control module, that is, when the subject turns over or heads When the body shakes, the motion sensor can detect body motion signals, and assist EOG and EEG signals for sleep staging processing.
本实施例中，所述运动传感器为加速度传感器MPU6050，其与主控模块之间通过IIC进行通信。MPU6050作为加速度传感器与陀螺仪，其内置姿态计算芯片和运动控制库，可以直接返回各轴的加速度、角速度以及欧拉角数据。因此，本实施例中选择了MPU6050作为传感器并将其放置在电路板上，与眼罩构成一个整体。In this embodiment, the motion sensor is an acceleration sensor MPU6050, which communicates with the main control module through IIC. As an acceleration sensor and gyroscope, the MPU6050 has a built-in attitude calculation chip and a motion control library, which can directly return the acceleration, angular velocity and Euler angle data of each axis. Therefore, in this embodiment, the MPU6050 is selected as the sensor and placed on the circuit board to form a whole with the eye mask.
在其他实施例中，所述运动传感器还可以选用其他型号。In other embodiments, the motion sensor can also be selected from other models.
本实施例中，用于采集脑电信号和眼电信号的四个电极均采用高性能的金属混纺纤维制成，将金属混纺纤维材料的电极缝在眼罩的特定的信号采集位置，并通过导线与生物电信号采集芯片相连。金属混纺纤维具有非常柔软的触感，提高了佩戴舒适性，且电阻极低。In this embodiment, the four electrodes used to collect EEG signals and electrooculogram signals are all made of high-performance metal blended fibers. It is connected with the bioelectrical signal acquisition chip. Metal blend fibers have a very soft touch for improved wearing comfort and very low electrical resistance.
所述电池采用可充电的电池，可多次充放电循环使用，用于给nRF51822芯片、ADS1293以及MPU6050提供电源。The battery is a rechargeable battery, which can be used for multiple charge and discharge cycles, and is used to provide power for the nRF51822 chip, ADS1293 and MPU6050.
请同时参阅图7、图8和图9，其中图7是本发明实施例所述的APP功能实现流程图；图8其是本发明实施例所述的APP的用户账号隐私保护功能设计原理图；图9是本发明实施例所述的智能终端与睡眠分析平台通信功能实现原理图。Please refer to Fig. 7, Fig. 8 and Fig. 9 at the same time, wherein Fig. 7 is a flow chart of APP function implementation described in the embodiment of the present invention; Fig. 8 is a design schematic diagram of the APP user account privacy protection function described in the embodiment of the present invention ; FIG. 9 is a schematic diagram of the implementation of the communication function between the smart terminal and the sleep analysis platform according to the embodiment of the present invention.
本实施例中，所述智能终端20为智能手机，并在智能手机上设置APP应用程序和蓝牙接收器，该APP通过BLE蓝牙协议与监测眼罩10连接并进行数据通信，获取监测眼罩10所测得的脑电及眼电数据，便于给专业医务人员提供初步的分析依据；并且，其通过套接字socket与睡眠分析平台通信，并将睡眠分析平台返回的睡眠分期结果进行可视化处理，客观直接的呈现给用户。In this embodiment, the smart terminal 20 is a smart phone, and an APP application program and a Bluetooth receiver are set on the smart phone. The APP is connected to the monitoring eye mask 10 through the BLE Bluetooth protocol and performs data communication to obtain the measured data of the monitoring eye mask 10. The obtained EEG and EEG data are convenient to provide preliminary analysis basis for professional medical personnel; moreover, it communicates with the sleep analysis platform through the socket, and visualizes the sleep staging results returned by the sleep analysis platform, which is objective and direct. presented to the user.
该APP需要注册账户，并设置对应的密码，通过账户及密码登录才能使用。为实现对用户信息的保护，该APP还提供用户密码的修改及找回等功能，当用户注册或登录账号，或进行密码修改找回时，APP与睡眠分析平台进行网络连接，并进行数据通信验证，验证成功后，即可实现成功注册账号、成功登录账号或成功修改密码。The APP needs to register an account and set a corresponding password, and log in through the account and password to use it. In order to protect user information, the APP also provides functions such as modifying and retrieving user passwords. When a user registers or logs in to an account, or modifies and retrieves a password, the APP connects to the sleep analysis platform through the network and performs data communication. Verification, after the verification is successful, you can successfully register an account, successfully log in to an account or successfully change your password.
具体地，使用时，打开APP应用程序，登录账号，APP便与监测眼罩10建立连接从监测眼罩10获取睡眠数据，并存储为生理源数据；同时将睡眠数据通过移动网络发送至睡眠分析平台，进行数据分析获得睡眠分期结果，并给出睡眠建议。Specifically, when in use, open the APP application program, log in to the account, and the APP will establish a connection with the monitoring eye mask 10 to obtain sleep data from the monitoring eye mask 10, and store it as physiological source data; at the same time, the sleep data will be sent to the sleep analysis platform through the mobile network, Perform data analysis to obtain sleep staging results, and give sleep suggestions.
另外，被测者智能终端上的睡眠数据还可以通过APP传输至医生的智能终端，便于医生进行病情的诊断，给出睡眠建议或进行睡眠治疗。In addition, the sleep data on the smart terminal of the subject can also be transmitted to the doctor's smart terminal through the APP, which is convenient for the doctor to diagnose the disease, give sleep advice or perform sleep treatment.
在其他实施例中，该智能终端可以是手机或者平板，以及其他的智能设备。In other embodiments, the smart terminal may be a mobile phone or a tablet, and other smart devices.
请同时参阅图10和图11，其中图10是本发明实施例所述睡眠分析模型处理睡眠数据的流程示意图；图11是本发明实施例所述睡眠分析模型的记忆单元层的原理图。Please refer to FIG. 10 and FIG. 11 at the same time, wherein FIG. 10 is a schematic flowchart of processing sleep data by the sleep analysis model according to the embodiment of the present invention; FIG. 11 is a schematic diagram of the memory unit layer of the sleep analysis model according to the embodiment of the present invention.
所述睡眠分析平台30预先构建好LSTM神经网络模型，并利用临床多导睡眠监测(PSG)得到的睡眠数据集训练所述神经网络模型，获得所述睡眠分析模型。The sleep analysis platform 30 pre-constructs an LSTM neural network model, and trains the neural network model using sleep data sets obtained from clinical polysomnography (PSG) to obtain the sleep analysis model.
具体地，所述睡眠分析模型包括数据输入层、记忆单元层和分类器；所述数据输入层对所述睡眠数据进行处理，提取出睡眠特征并重构获得睡眠特征数据矩阵输出至所述记忆单元层；所述记忆单元层对所述睡眠特征数据矩阵进行过滤，更新，筛选获得睡眠特征权重向量集输出至所述分类器；所述分类器接收所述睡眠特征权重向量集，按照睡眠分期准则进行分类，并输出睡眠分期结果至所述智能终端。Specifically, the sleep analysis model includes a data input layer, a memory unit layer, and a classifier; the data input layer processes the sleep data, extracts sleep features and reconstructs the obtained sleep feature data matrix to output to the memory The unit layer; the memory unit layer filters and updates the sleep feature data matrix, and obtains the sleep feature weight vector set after screening and outputs it to the classifier; the classifier receives the sleep feature weight vector set, and performs sleep classification according to sleep stages Criteria are classified, and sleep staging results are output to the smart terminal.
具体地，所述数据输入层对所述睡眠数据进行小波分析处理将数据截断，并进行小波逆变换处理获得所述睡眠特征数据点集。所述记忆单元层包括依次设置的遗忘门ft、输入门和输出门ot；所述遗忘门ft将经过其的所述睡眠特征数据矩阵过滤获得第一睡眠特征数据点集，并传输至所述输入门所述输入门将所述第一睡眠特征数据点集记忆并做更新，获得第二睡眠特征数据点集传输至所述输出门ot；所述输出门ot在所述第二睡眠特征数据点集中筛选出所述睡眠特征权重向量集输出至所述分类器。所述分类器包括全连接层和输出层；所述全连接层接收所述睡眠特征权重向量集，按照睡眠分期准则将其进行分类获得概率分布向量组传输至所述输出层输出睡眠分期结果至智能终端20。Specifically, the data input layer performs wavelet analysis processing on the sleep data to truncate the data, and performs wavelet inverse transform processing to obtain the sleep characteristic data point set. The memory cell layer includes forget gate ft , input gate and output gateot; the forgetting gate f tfilters the sleep feature data matrix through it to obtain the first sleep feature data point set, and transmits it to the input gate The input gate Memorizing and updating the first sleep characteristic data point set, obtaining a second sleep characteristic data point set and transmitting it to the output gate ot ; the output gate ot filters out the second sleep characteristic data point set The sleep feature weight vector set is output to the classifier. The classifier includes a fully connected layer and an output layer; the fully connected layer receives the sleep feature weight vector set, and classifies it according to the sleep staging criterion to obtain a probability distribution vector group and transmits it to the output layer to output the sleep staging result to Intelligent terminal 20.
本实施例中，睡眠分期准则为2007年美国睡眠医学会修正过的R&K准则，可分为5期：觉醒期(W)，非快速眼动1期(N1)，非快速眼动2期(N2)，非快速眼动3期(N3)和快速眼动期。睡眠分期模型根据睡眠信号的特征，判断睡眠处于上述五个状态的哪种，将概率最大的结果输出，输出结果是五种状态的一种。In this embodiment, the sleep staging criterion is the R&K criterion revised by the American Academy of Sleep Medicine in 2007, which can be divided into 5 stages: wakefulness (W), non-rapid eye movement 1 stage (N1), and non-rapid eye movement 2 stage ( N2), non-rapid eye movement 3 (N3) and rapid eye movement period. The sleep staging model judges which of the above five states the sleep is in according to the characteristics of the sleep signal, and outputs the result with the highest probability, and the output result is one of the five states.
请参阅图12，图12是本发明所述实施例的睡眠分析模型输出的睡眠分期结果图。通过该睡眠分期结果图可以看出被测者各个时间段的睡眠情况。Please refer to FIG. 12 . FIG. 12 is a graph of sleep staging results output by the sleep analysis model of the embodiment of the present invention. The sleep status of the subject in each time period can be seen through the sleep staging result graph.
本发明实施例所述的睡眠监测系统的使用方法为：将眼罩按正常方式佩戴，保证眼罩上四个采集电极与肌肤贴合，便于采集生理信号。拨动信号采集前端电路的开关，此时开始采集使用者的睡眠生理信号，打开手机APP与监测眼罩配对连接，连接成功后手机APP开始接收使用者的睡眠生理信号，并将睡眠生理信号发送至睡眠分析平台，此时睡眠分析平台开始对接收到的睡眠生理信号数据分析，通过预训练的睡眠分析模型对睡眠程度进行区分，将分析结果返回至手机APP实现睡眠质量的可视化，用户便通过手机APP可以清晰地看到使用者的睡眠情况，被测者就可以根据睡眠情况进行调整，促进身心健康；此外该睡眠分析结果也可供医疗分析使用，便于医生诊断病情。The method of using the sleep monitoring system described in the embodiment of the present invention is as follows: wear the eye mask in a normal way, and ensure that the four acquisition electrodes on the eye mask are in close contact with the skin, so as to facilitate the collection of physiological signals. Toggle the switch of the signal acquisition front-end circuit, and start to collect the user's sleep physiological signal at this time, open the mobile phone APP to pair and connect with the monitoring goggles, after the connection is successful, the mobile phone APP starts to receive the user's sleep physiological signal, and sends the sleep physiological signal to Sleep analysis platform. At this time, the sleep analysis platform starts to analyze the received sleep physiological signal data, distinguishes the degree of sleep through the pre-trained sleep analysis model, and returns the analysis results to the mobile APP to realize the visualization of sleep quality. The APP can clearly see the sleep status of the user, and the subject can make adjustments according to the sleep status to promote physical and mental health; in addition, the sleep analysis results can also be used for medical analysis, which is convenient for doctors to diagnose diseases.
本发明所述的睡眠监测系统具有使用方便，能够自动分析用户的睡眠数据的优点，在仅使用四个电极的情况下实现了眼电和脑电信号的测量，与传统方法相比极大地精简了测量电极的数量，极大地降低了用户的心理负担，同时使用金属混纺纤维制作的电极代替常用的凝胶电极，提高了佩戴舒适性。在数据信号的传输上，采用蓝牙4.0BLE实现前后端数据的实时无线传输，代替了导线连接的传统数据传输办法，减小了患者因佩戴医疗设备所造成的不便，极大的增加了用户的睡眠自由度。同时，还可将被测者睡眠数据传输到智能手机APP端存储记录，便于分析处理，如有异常，也可直接分享到医生智能终端，便于医生分析诊断病情。The sleep monitoring system of the present invention has the advantages of being easy to use and can automatically analyze the user's sleep data, and realizes the measurement of oculoelectric and electroencephalogram signals under the condition of only using four electrodes, which is greatly simplified compared with the traditional method The number of measuring electrodes is reduced, which greatly reduces the psychological burden of the user. At the same time, the electrode made of metal blended fiber is used instead of the commonly used gel electrode, which improves the wearing comfort. In the transmission of data signals, Bluetooth 4.0BLE is used to realize real-time wireless transmission of front-end and back-end data, which replaces the traditional data transmission method of wire connection, reduces the inconvenience caused by patients wearing medical equipment, and greatly increases user safety. Sleep freedom. At the same time, the sleep data of the subject can also be transmitted to the smart phone APP to store and record, which is convenient for analysis and processing. If there is any abnormality, it can also be directly shared with the doctor's smart terminal, which is convenient for the doctor to analyze and diagnose the disease.
以上所述实施例仅表达了本发明的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对发明专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干变形和改进，这些都属于本发明的保护范围。The above-mentioned embodiments only express several implementation modes of the present invention, and the descriptions thereof are relatively specific and detailed, but should not be construed as limiting the patent scope of the invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910343058.9ACN110101366A (en) | 2019-04-26 | 2019-04-26 | A kind of sleep monitor system |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910343058.9ACN110101366A (en) | 2019-04-26 | 2019-04-26 | A kind of sleep monitor system |
| Publication Number | Publication Date |
|---|---|
| CN110101366Atrue CN110101366A (en) | 2019-08-09 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910343058.9APendingCN110101366A (en) | 2019-04-26 | 2019-04-26 | A kind of sleep monitor system |
| Country | Link |
|---|---|
| CN (1) | CN110101366A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742397A (en)* | 2021-08-30 | 2021-12-03 | 慕思健康睡眠股份有限公司 | Sleep monitoring method and device, monitoring equipment and storage medium |
| CN114699040A (en)* | 2022-02-21 | 2022-07-05 | 华南师范大学 | Waking-up detection method, device, equipment and storage medium based on physiological signals |
| CN114939217A (en)* | 2022-06-02 | 2022-08-26 | 上海数药信息技术有限公司 | Sleep intervention method, device and computer readable storage medium |
| CN116269244A (en)* | 2023-05-18 | 2023-06-23 | 安徽星辰智跃科技有限责任公司 | Method, system and device for quantifying sleep memory emotion tension based on eye movement |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203763087U (en)* | 2014-01-09 | 2014-08-13 | 北京大学 | Sleep monitoring device |
| US20140303428A1 (en)* | 2008-10-07 | 2014-10-09 | Advanced Brain Monitoring, Inc. | Systems and methods for optimization of sleep and post-sleep performance |
| CN206239412U (en)* | 2016-08-18 | 2017-06-13 | 中山衡思健康科技有限公司 | A wearable sleep monitoring goggle for composite detection of EEG and oculogram |
| CN107184208A (en)* | 2017-06-26 | 2017-09-22 | 成都和煦医疗科技有限公司 | A kind of intelligent sleep monitoring eyeshade with comprehensive function |
| CN107773214A (en)* | 2016-08-26 | 2018-03-09 | Tcl集团股份有限公司 | A kind of method, computer-readable medium and the system of optimal wake-up strategy |
| CN108937865A (en)* | 2018-06-28 | 2018-12-07 | 重庆邮电大学 | A kind of wisdom sleep monitor system based on cloud framework |
| CN109044280A (en)* | 2018-08-20 | 2018-12-21 | 深圳和而泰数据资源与云技术有限公司 | A kind of sleep stage method and relevant device |
| CN109171714A (en)* | 2018-08-29 | 2019-01-11 | 成都和煦医疗科技有限公司 | System is monitored using the intelligent sleep of ear type electrode |
| CN109363669A (en)* | 2018-10-30 | 2019-02-22 | 深圳和而泰数据资源与云技术有限公司 | Eyeshade and computer readable storage medium |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140303428A1 (en)* | 2008-10-07 | 2014-10-09 | Advanced Brain Monitoring, Inc. | Systems and methods for optimization of sleep and post-sleep performance |
| CN203763087U (en)* | 2014-01-09 | 2014-08-13 | 北京大学 | Sleep monitoring device |
| CN206239412U (en)* | 2016-08-18 | 2017-06-13 | 中山衡思健康科技有限公司 | A wearable sleep monitoring goggle for composite detection of EEG and oculogram |
| CN107773214A (en)* | 2016-08-26 | 2018-03-09 | Tcl集团股份有限公司 | A kind of method, computer-readable medium and the system of optimal wake-up strategy |
| CN107184208A (en)* | 2017-06-26 | 2017-09-22 | 成都和煦医疗科技有限公司 | A kind of intelligent sleep monitoring eyeshade with comprehensive function |
| CN108937865A (en)* | 2018-06-28 | 2018-12-07 | 重庆邮电大学 | A kind of wisdom sleep monitor system based on cloud framework |
| CN109044280A (en)* | 2018-08-20 | 2018-12-21 | 深圳和而泰数据资源与云技术有限公司 | A kind of sleep stage method and relevant device |
| CN109171714A (en)* | 2018-08-29 | 2019-01-11 | 成都和煦医疗科技有限公司 | System is monitored using the intelligent sleep of ear type electrode |
| CN109363669A (en)* | 2018-10-30 | 2019-02-22 | 深圳和而泰数据资源与云技术有限公司 | Eyeshade and computer readable storage medium |
| Title |
|---|
| 高志强: "《深度学习 从入门到实战》", 30 June 2018* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113742397A (en)* | 2021-08-30 | 2021-12-03 | 慕思健康睡眠股份有限公司 | Sleep monitoring method and device, monitoring equipment and storage medium |
| CN114699040A (en)* | 2022-02-21 | 2022-07-05 | 华南师范大学 | Waking-up detection method, device, equipment and storage medium based on physiological signals |
| CN114939217A (en)* | 2022-06-02 | 2022-08-26 | 上海数药信息技术有限公司 | Sleep intervention method, device and computer readable storage medium |
| CN116269244A (en)* | 2023-05-18 | 2023-06-23 | 安徽星辰智跃科技有限责任公司 | Method, system and device for quantifying sleep memory emotion tension based on eye movement |
| CN116269244B (en)* | 2023-05-18 | 2023-08-15 | 安徽星辰智跃科技有限责任公司 | Method, system and device for quantifying sleep memory emotion tension based on eye movement |
| Publication | Publication Date | Title |
|---|---|---|
| Matthews et al. | A wearable physiological sensor suite for unobtrusive monitoring of physiological and cognitive state | |
| CN110101366A (en) | A kind of sleep monitor system | |
| US20130046151A1 (en) | System and method for real-time measurement of sleep quality | |
| CN107788976A (en) | Sleep monitor system based on Amplitude integrated electroencephalogram | |
| DE202017004216U1 (en) | Systems for collecting spirometry data | |
| CN116312951B (en) | A method and system for evaluating motor function based on multimodal coupling analysis | |
| JP2016517325A (en) | Multifaceted physiological stimulation system and signature, and brain health assessment | |
| EP2964084A1 (en) | Form factors for the multi-modal physiological assessment of brain health | |
| WO2017119638A1 (en) | Real-time sleep disorder monitoring apparatus | |
| CN109124655A (en) | State of mind analysis method, device, equipment, computer media and multifunctional chair | |
| CN110710978A (en) | A Multimodal Immersive Synchronous Acquisition System Based on Eye Tracking-Brain Function Activity Detection | |
| CN106901727A (en) | A kind of depression Risk Screening device based on EEG signals | |
| Pombo et al. | ubiSleep: An ubiquitous sensor system for sleep monitoring | |
| CN112328072A (en) | Multi-mode character input system and method based on electroencephalogram and electrooculogram | |
| CN119344671A (en) | A portable sleep apnea monitoring device based on EEG-blood oxygen saturation-ECG | |
| WO2018120635A1 (en) | Physiological data monitoring method and device | |
| CN110477887A (en) | A kind of monitoring device of non-invasive long-range apnea syndrome | |
| US20230139248A1 (en) | Device and method for assessing, predicting and operating users health in real time | |
| CN120183675A (en) | Closed-loop evaluation system and method for cognitive impairment based on coupling of multiple physiological parameters in multi-source synergistic stimulation | |
| CN209474587U (en) | A pain assessment system | |
| CN208551781U (en) | Physiological data monitoring system based on smartphone | |
| CN114903445A (en) | Intelligent monitoring and early warning system for cardiovascular and cerebrovascular diseases | |
| Nguyen et al. | LIBS: a lightweight and inexpensive in-ear sensing system for automatic whole-night sleep stage monitoring | |
| US20230018876A1 (en) | Wearable Nystagmus Detection Devices and Methods for Using the Same | |
| CN119274800A (en) | A remote rehabilitation intelligent assessment system |
| 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 | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20190809 |