技术领域Technical Field
本发明涉及离位预警技术领域，具体涉及一种老年患者离位预警方法及装置。The present invention relates to the technical field of out-of-position warning, and in particular to an out-of-position warning method and device for elderly patients.
背景技术Background technique
离位预警是指一种用于监测人员或物体离开预期位置的系统或机制。这种预警系统可以用于多种场景，如工厂、仓库、医疗设施等，用于监测设备、人员或货物的位置。当人员或物体离开指定的安全区域时，离位预警系统会发出警报，提醒相关人员及时处理异常情况，保障人员和设备的安全，随着人口老龄化的加剧，老年人的健康监护成为一个重要的社会问题，离位预警是老年患者监护的重要环节，能够帮助医护人员及时发现并处理老年患者的离位情况，预防可能发生的意外。Departure warning refers to a system or mechanism used to monitor people or objects leaving their expected locations. This warning system can be used in a variety of scenarios, such as factories, warehouses, medical facilities, etc., to monitor the location of equipment, people or goods. When a person or object leaves a designated safe area, the departure warning system will sound an alarm to remind relevant personnel to deal with abnormal situations in a timely manner to ensure the safety of personnel and equipment. With the aging of the population, health monitoring of the elderly has become an important social issue. Departure warning is an important part of monitoring elderly patients. It can help medical staff to detect and deal with the departure of elderly patients in a timely manner and prevent possible accidents.
中国公开号为CN107610413A公开了一种针对老年人离床与洗手间内意外事故的自动报警装置及报警方法，所述无线自动报警装置包括离床检测终端、洗手间报警终端、无线网关以及报警监控终端组成。China Publication No. CN107610413A discloses an automatic alarm device and alarm method for accidents when the elderly leave the bed and go to the bathroom. The wireless automatic alarm device includes a bed leaving detection terminal, a bathroom alarm terminal, a wireless gateway and an alarm monitoring terminal.
但是，现有技术中离位预警方法及装置存在误报率高、实时性差等问题，无法满足实际应用的需求，也不能结合实际情况进行相应的优化和改进。However, the existing off-site warning methods and devices have problems such as high false alarm rate and poor real-time performance, which cannot meet the needs of practical applications and cannot be optimized and improved accordingly based on actual conditions.
发明内容Summary of the invention
本发明的目的在于提供一种老年患者离位预警方法及装置，以解决上述背景中技术问题。The purpose of the present invention is to provide a method and device for early warning of elderly patients leaving their positions, so as to solve the technical problems in the above background.
本发明的目的可以通过以下技术方案实现：The purpose of the present invention can be achieved through the following technical solutions:
一种老年患者离位预警方法及装置，包括以下步骤：A method and device for warning of elderly patients leaving their place of residence, comprising the following steps:
步骤一：通过采集设备获取目标周期内老年患者的生理信息，对生理信息进行处理，获得生理参数波动表征值，对生理参数波动表征值进行对比分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；Step 1: Acquire the physiological information of the elderly patient within the target period through the acquisition device, process the physiological information, obtain the physiological parameter fluctuation representation value, compare and analyze the physiological parameter fluctuation representation value, judge whether the patient is in a normal state, and generate an out-of-position warning alarm signal when the patient is in an abnormal state;
若生理参数波动表征值＜生理参数波动阈值，则判定老年患者处于正常状态；If the physiological parameter fluctuation characterization value is less than the physiological parameter fluctuation threshold, the elderly patient is judged to be in a normal state;
若生理参数波动表征值≥生理参数波动阈值，则判定老年患者处于非正常状态，生成离位预报警信号，并发送至报警模块；If the physiological parameter fluctuation characterization value is greater than or equal to the physiological parameter fluctuation threshold, the elderly patient is determined to be in an abnormal state, and a pre-alarm signal of leaving the position is generated and sent to the alarm module;
步骤二：报警模块接收到离位预报警信号后，生成连续离位预警报，直至接收到医护人员的确认指令；Step 2: After receiving the out-of-position pre-alarm signal, the alarm module generates a continuous out-of-position pre-alarm until receiving a confirmation instruction from a medical staff;
步骤三：将离位预报警信号以及医护人员的确认指令进行记录，构建模型，并根据医护人员的确认指令进行纠正。Step 3: Record the off-site warning signal and the medical staff's confirmation instructions, build a model, and make corrections based on the medical staff's confirmation instructions.
作为本发明进一步的方案：所述生理信息的处理方法为：As a further solution of the present invention: the method for processing physiological information is:
A1：获取目标周期内老年患者的生理信息，并根据老年患者的生理信息，获得生理信息表征值；A1: Acquire the physiological information of the elderly patient within the target period, and obtain the physiological information representation value according to the physiological information of the elderly patient;
A2：根据生理信息表征值，计算获得生理参数；A2: Calculate and obtain physiological parameters based on the physiological information representation value;
A3：对目标时段内生理参数的波动进行分析，获得生理参数波动表征值，并基于生理参数波动表征值，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号。A3: Analyze the fluctuation of physiological parameters within the target time period to obtain the physiological parameter fluctuation characterization value, and based on the physiological parameter fluctuation characterization value, determine whether the patient is in a normal state, and generate an out-of-position warning alarm signal when the patient is in an abnormal state.
作为本发明进一步的方案：所述生理信息表征值包括：心血管表征值、温度表征值。As a further solution of the present invention: the physiological information characterization value includes: a cardiovascular characterization value and a temperature characterization value.
作为本发明进一步的方案：所述生理参数的具体计算方法为：As a further solution of the present invention: the specific calculation method of the physiological parameters is:
将心血管表征值G与温度表征值T进行数据处理，通过公式：计算获得生理参数L，其中，c1，c2，c3为预设比例因子，且均大于0。The cardiovascular characterization value G and the temperature characterization value T are processed by the formula: The physiological parameter L is calculated and obtained, wherein c1 , c2 , and c3 are preset proportional factors, and are all greater than 0.
作为本发明进一步的方案：所述生理参数波动表征值的获得方法为：As a further solution of the present invention: the method for obtaining the physiological parameter fluctuation characterization value is:
基于目标时段内多个周期获得的生理参数，建立生理参数波动图，并根据目标时段内多个周期获得的生理参数绘制拟合直线，将目标时段内多个周期获得的生理参数连成折线，计算折线与拟合直线之间所围成的阴影处面积，其阴影处面积即表示生理参数波动表征值，将生理参数波动表征值标记为LB。Based on the physiological parameters obtained in multiple cycles within the target period, a physiological parameter fluctuation graph is established, and a fitting straight line is drawn according to the physiological parameters obtained in multiple cycles within the target period. The physiological parameters obtained in multiple cycles within the target period are connected into a broken line, and the shaded area enclosed between the broken line and the fitting straight line is calculated. The shaded area represents the physiological parameter fluctuation characterization value, and the physiological parameter fluctuation characterization value is marked as LB.
作为本发明进一步的方案：预设生理参数波动阈值为LB l，将生理参数波动表征值LB与生理参数波动阈值LB l进行比较分析；As a further solution of the present invention: presetting the physiological parameter fluctuation threshold as LB l, and comparing and analyzing the physiological parameter fluctuation characterization value LB with the physiological parameter fluctuation threshold LB l;
若LB＜LB l，则说明老年患者生理参数波动不大，判定老年患者处于正常状态；If LB < LB l, it means that the physiological parameters of the elderly patient do not fluctuate much, and the elderly patient is judged to be in a normal state;
若LB≥LB l，则说明老年患者生理参数波动大，判定老年患者处于非正常状态，生成离位预报警信号，并发送至报警模块。If LB ≥ LB l, it means that the physiological parameters of the elderly patient fluctuate greatly, and the elderly patient is judged to be in an abnormal state. An out-of-position pre-alarm signal is generated and sent to the alarm module.
作为本发明进一步的方案：所述心血管表征值的获得方法为：As a further solution of the present invention: the method for obtaining the cardiovascular characterization value is:
C11：在目标周期内获取老年患者的心率波动值，并获得周期内心率平均值，将周期内心率平均值标记为S；C11: Obtain the heart rate fluctuation value of the elderly patient within the target period, and obtain the average heart rate value within the period, and mark the average heart rate value within the period as S;
C12：在目标周期内获取老年患者的血压波动值，并获得周期内血压平均值，将周期内血压平均值标记为X；C12: Obtain the blood pressure fluctuation value of the elderly patient within the target period, and obtain the average blood pressure value within the period, and mark the average blood pressure value within the period as X;
C13：根据心率平均值S以及血压平均值X，计算获得心血管表征值；C13: Calculate the cardiovascular characterization value based on the average heart rate S and the average blood pressure X;
将心率平均值S和血压平均值X进行数据处理，通过公式：计算获得心血管表征值G，其中，b1，b2为权重比例系数，且均大于0。The heart rate average S and blood pressure average X are processed by the formula: The cardiovascular characterization value G is calculated, wherein b1 and b2 are weight ratio coefficients, and both are greater than 0.
作为本发明进一步的方案：所述温度表征值的获得方法为：As a further solution of the present invention: the method for obtaining the temperature characterization value is:
在目标周期内获取老年患者的体温波动值，并获得周期内体温平均值，以及目标周期内室内温度，将体温平均值与室内温度进行差值计算，获得温度差值，其温度差值即表示为温度表征值，并将温度表征值标记为T。The body temperature fluctuation value of the elderly patient is obtained within the target period, and the average body temperature within the period and the indoor temperature within the target period are obtained. The difference between the average body temperature and the indoor temperature is calculated to obtain the temperature difference, which is represented as the temperature characterization value, and the temperature characterization value is marked as T.
作为本发明进一步的方案：包括：As a further solution of the present invention: comprising:
数据采集模块，所述数据采集模块用于获取目标周期内老年患者的生理信息，并根据老年患者的生理信息，获得生理信息表征值；A data acquisition module, wherein the data acquisition module is used to acquire the physiological information of the elderly patient within a target period, and obtain a physiological information representation value based on the physiological information of the elderly patient;
数据处理模块，所述数据处理模块用于根据生理信息表征值，计算获得生理参数；A data processing module, the data processing module is used to calculate and obtain physiological parameters according to the physiological information representation value;
图像绘制模块，所述图像绘制模块用于根据目标时段内多个周期获得的生理参数，建立生理参数波动图，并获得生理参数波动表征值；An image drawing module, wherein the image drawing module is used to establish a physiological parameter fluctuation graph according to the physiological parameters obtained in multiple cycles within a target period, and obtain a physiological parameter fluctuation representation value;
对比分析模块，所述对比分析模块用于对生理参数波动表征值进行比较分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；A comparison and analysis module, which is used to compare and analyze the physiological parameter fluctuation characterization values to determine whether the patient is in a normal state, and to generate a pre-alarm signal when the patient is in an abnormal state;
所述警报模块，所述警报模块用于接收到离位预报警信号后，生成连续离位预警报，直至接收到医护人员的确认指令；The alarm module is used to generate continuous out-of-position pre-alarms after receiving the out-of-position pre-alarm signal until receiving a confirmation instruction from a medical staff;
模型构建模块，所述模型构建模块用于将离位预报警信号以及医护人员的确认指令进行记录，构建模型，并根据医护人员的确认指令进行纠正。The model building module is used to record the out-of-position pre-alarm signal and the confirmation instructions of the medical staff, build a model, and make corrections according to the confirmation instructions of the medical staff.
本发明的有益效果：Beneficial effects of the present invention:
(1)本发明通过采集老年患者的生理信息，并对老年患者的生理信息进行处理分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成连续离位预警报，直至接收到医护人员的确认指令，从而可以及时发现老年患者即将离位的迹象，及时发出警报，使医护人员能够快速响应，提高护理效率，减少人力和时间的浪费，预防患者离位后可能出现的意外事件，提供更加安全、舒适的护理服务，减少患者的离位风险，提高患者的满意度和信任度；(1) The present invention collects the physiological information of the elderly patient, processes and analyzes the physiological information of the elderly patient, determines whether the patient is in a normal state, and generates a continuous pre-alarm when the patient is in an abnormal state until receiving a confirmation instruction from the medical staff, so that the elderly patient can find signs of imminent dislocation in time, issue an alarm in time, and enable the medical staff to respond quickly, thereby improving the nursing efficiency, reducing the waste of manpower and time, preventing possible accidents after the patient leaves the position, providing safer and more comfortable nursing services, reducing the risk of patient dislocation, and improving the patient's satisfaction and trust;
(2)本发明通过记录离位预报警信号和医护人员的确认指令，可以构建一个更加准确的模型，用于离位预报警的预测和判断，根据医护人员的确认指令进行纠正，可以不断优化算法的性能，提高离位预报警的准确性和可靠性。(2) By recording the out-of-position pre-alarm signal and the medical staff's confirmation instructions, the present invention can construct a more accurate model for the prediction and judgment of the out-of-position pre-alarm, and make corrections based on the medical staff's confirmation instructions, thereby continuously optimizing the performance of the algorithm and improving the accuracy and reliability of the out-of-position pre-alarm.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
下面结合附图对本发明作进一步的说明。The present invention will be further described below in conjunction with the accompanying drawings.
图1是本发明方法流程图；Fig. 1 is a flow chart of the method of the present invention;
图2是本发明中生理参数波动图；FIG2 is a diagram showing fluctuations of physiological parameters in the present invention;
图3是本发明系统示意图。FIG. 3 is a schematic diagram of the system of the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图，对本发明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发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
实施例一：Embodiment 1:
请参阅图1、图2所示，本发明实施例所述的一种老年患者离位预警方法，具体方法包括：Please refer to FIG. 1 and FIG. 2 , a method for early warning of elderly patients leaving their place of residence according to an embodiment of the present invention, the specific method includes:
步骤一：通过采集设备获取目标周期内老年患者的生理信息，对生理信息进行处理，获得生理参数波动表征值，对生理参数波动表征值进行对比分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；Step 1: Acquire the physiological information of the elderly patient within the target period through the acquisition device, process the physiological information, obtain the physiological parameter fluctuation representation value, compare and analyze the physiological parameter fluctuation representation value, judge whether the patient is in a normal state, and generate an out-of-position warning alarm signal when the patient is in an abnormal state;
其中，采集设备包括：心率监测器、动态血压监测仪、红外线体温枪；Among them, the collection equipment includes: heart rate monitor, dynamic blood pressure monitor, infrared body temperature gun;
目标周期包括：1分钟，2分钟；Target cycles include: 1 minute, 2 minutes;
生理信息包括：心率、血压、体温；Physiological information includes: heart rate, blood pressure, body temperature;
A1：获取目标周期内老年患者的生理信息，并根据老年患者的生理信息，获得生理信息表征值；A1: Acquire the physiological information of the elderly patient within the target period, and obtain the physiological information representation value according to the physiological information of the elderly patient;
其中，生理信息表征值包括：心血管表征值、温度表征值；Among them, the physiological information representation value includes: cardiovascular representation value, temperature representation value;
需要说明的是：将心率和血压的变化一起考虑，从而评估患者的心血管状态是否稳定，如果心率升高而血压下降，这表明患者可能存在心脏问题或身体状况不稳定，有离位的可能；It should be noted that changes in heart rate and blood pressure are considered together to assess whether the patient's cardiovascular status is stable. If the heart rate increases and the blood pressure decreases, this indicates that the patient may have heart problems or an unstable physical condition, and there is a possibility of dislocation;
患者的体温突然升高或降低，或者持续高于或低于正常范围，这会影响患者的身体功能和舒适度，进而影响患者的活动能力和自我保护能力，从而导致患者有离位的可能；The patient's body temperature suddenly rises or falls, or remains above or below the normal range, which can affect the patient's physical function and comfort, and in turn affect the patient's mobility and self-protection ability, resulting in the possibility of the patient leaving the position;
B11：获取老年患者的心率以及血压，计算心血管表征值；B11: Obtain heart rate and blood pressure of elderly patients and calculate cardiovascular characterization values;
C11：在目标周期内获取老年患者的心率波动值，并获得周期内心率平均值，将周期内心率平均值标记为S；C11: Obtain the heart rate fluctuation value of the elderly patient within the target period, and obtain the average heart rate value within the period, and mark the average heart rate value within the period as S;
C12：在目标周期内获取老年患者的血压波动值，并获得周期内血压平均值，将周期内血压平均值标记为X；C12: Obtain the blood pressure fluctuation value of the elderly patient within the target period, and obtain the average blood pressure value within the period, and mark the average blood pressure value within the period as X;
C13：根据心率平均值S以及血压平均值X，计算获得心血管表征值；C13: Calculate the cardiovascular characterization value based on the average heart rate S and the average blood pressure X;
将心率平均值S和血压平均值X进行数据处理，通过公式：计算获得心血管表征值G，其中，b1，b2为权重比例系数，且均大于0；The heart rate average S and blood pressure average X are processed by the formula: The cardiovascular characterization value G is calculated, wherein b1 and b2 are weight ratio coefficients, and both are greater than 0;
B12：在目标周期内获取老年患者的体温波动值，并获得周期内体温平均值，以及目标周期内室内温度，将体温平均值与室内温度进行差值计算，获得温度差值，其温度差值即表示为温度表征值，并将温度表征值标记为T；B12: Obtain the temperature fluctuation value of the elderly patient within the target period, obtain the average temperature within the period, and the indoor temperature within the target period, calculate the difference between the average temperature and the indoor temperature, and obtain the temperature difference, which is represented as the temperature representation value, and the temperature representation value is marked as T;
A2：根据生理信息表征值，计算获得生理参数；A2: Calculate and obtain physiological parameters based on the physiological information representation value;
将心血管表征值G与温度表征值T进行数据处理，通过公式：计算获得生理参数L，其中，c1，c2，c3为预设比例因子，且均大于0；The cardiovascular characterization value G and the temperature characterization value T are processed by the formula: Calculate and obtain the physiological parameter L, where c1 , c2 , and c3 are preset proportional factors, and are all greater than 0;
A3：对目标时段内生理参数的波动进行分析，获得生理参数波动表征值，并基于生理参数波动表征值，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；A3: Analyze the fluctuation of physiological parameters within the target period to obtain the physiological parameter fluctuation representation value, and judge whether the patient is in a normal state based on the physiological parameter fluctuation representation value, and generate a pre-alarm signal when the patient is in an abnormal state;
其中，目标时段包括多个周期，如：5个周期，10个周期；Among them, the target period includes multiple cycles, such as: 5 cycles, 10 cycles;
B31：根据目标时段内多个周期获得的生理参数，获得生理参数波动表征值；B31: Obtaining a physiological parameter fluctuation characterization value based on the physiological parameters obtained in multiple cycles within the target period;
基于目标时段内多个周期获得的生理参数，建立生理参数波动图，如图2，并根据目标时段内多个周期获得的生理参数绘制拟合直线R，将目标时段内多个周期获得的生理参数连成折线，计算折线与拟合直线之间所围成的阴影处面积，其阴影处面积即表示生理参数波动表征值，将生理参数波动表征值标记为LB；Based on the physiological parameters obtained in multiple cycles within the target period, a physiological parameter fluctuation diagram is established, as shown in Figure 2, and a fitting straight line R is drawn according to the physiological parameters obtained in multiple cycles within the target period, and the physiological parameters obtained in multiple cycles within the target period are connected into a broken line, and the area of the shadow enclosed between the broken line and the fitting straight line is calculated. The area of the shadow represents the physiological parameter fluctuation representation value, and the physiological parameter fluctuation representation value is marked as LB;
B32：对生理参数波动表征值进行比较分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；B32: Compare and analyze the fluctuation characterization values of physiological parameters to determine whether the patient is in a normal state, and generate an out-of-position warning signal when the patient is in an abnormal state;
预设生理参数波动阈值为LB l，将生理参数波动表征值LB与生理参数波动阈值LBl进行比较分析，其中，阈值的大小的设定是为了便于比较，关于阈值的大小，取决于样本数据的多少及本领域技术人员对每一组样本数据设定基数数量；The physiological parameter fluctuation threshold is preset as LB1, and the physiological parameter fluctuation characterization value LB is compared and analyzed with the physiological parameter fluctuation threshold LB1, wherein the setting of the threshold value is for the convenience of comparison, and the size of the threshold value depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data;
若LB＜LB l，则说明老年患者生理参数波动不大，判定老年患者处于正常状态；If LB < LB l, it means that the physiological parameters of the elderly patient do not fluctuate much, and the elderly patient is judged to be in a normal state;
若LB≥LB l，则说明老年患者生理参数波动大，判定老年患者处于非正常状态，生成离位预报警信号，并发送至报警模块；If LB ≥ LB l, it means that the physiological parameters of the elderly patient fluctuate greatly, and the elderly patient is judged to be in an abnormal state, and a pre-alarm signal of leaving the position is generated and sent to the alarm module;
步骤二：报警模块接收到离位预报警信号后，生成连续离位预警报，直至接收到医护人员的确认指令；Step 2: After receiving the out-of-position pre-alarm signal, the alarm module generates a continuous out-of-position pre-alarm until receiving a confirmation instruction from a medical staff;
步骤三：将离位预报警信号以及医护人员的确认指令进行记录，构建模型，并根据医护人员的确认指令进行纠正；Step 3: Record the out-of-position warning signal and the medical staff's confirmation instructions, build a model, and make corrections based on the medical staff's confirmation instructions;
其中，医护人员的确认指令包括：离位确认指令、未离位确认指令；Among them, the confirmation instructions of medical staff include: confirmation instructions for leaving the post and confirmation instructions for not leaving the post;
纠正包括：调整相关参数，如阈值、权重；Correction includes: adjusting relevant parameters, such as thresholds and weights;
根据医护人员的确认指令，自动调整相关参数，如阈值、权重，这些参数的调整可以影响预警算法的性能，因此通过纠正可以找到最优的参数设置，从而提高预警算法的准确性。According to the confirmation instructions of medical staff, relevant parameters such as thresholds and weights are automatically adjusted. The adjustment of these parameters can affect the performance of the early warning algorithm. Therefore, the optimal parameter settings can be found through correction, thereby improving the accuracy of the early warning algorithm.
实施例二：Embodiment 2:
在实施例一基础上，请参阅图3所示，本发明实施例所述的一种老年患者离位预警装置，包括：Based on the first embodiment, please refer to FIG. 3 , an elderly patient leaving position warning device according to an embodiment of the present invention includes:
数据采集模块用于获取目标周期内老年患者的生理信息，并根据老年患者的生理信息，获得生理信息表征值；The data acquisition module is used to obtain the physiological information of the elderly patient within the target period, and obtain the physiological information representation value according to the physiological information of the elderly patient;
数据处理模块用于根据生理信息表征值，计算获得生理参数；The data processing module is used to calculate and obtain physiological parameters according to the physiological information representation value;
图像绘制模块用于根据目标时段内多个周期获得的生理参数，建立生理参数波动图，并获得生理参数波动表征值；The image drawing module is used to establish a physiological parameter fluctuation graph based on the physiological parameters obtained in multiple cycles within the target period, and obtain a physiological parameter fluctuation representation value;
对比分析模块用于对生理参数波动表征值进行比较分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；The comparative analysis module is used to compare and analyze the fluctuation characterization values of physiological parameters to determine whether the patient is in a normal state, and to generate an out-of-position warning signal when the patient is in an abnormal state;
警报模块用于接收到离位预报警信号后，生成连续离位预警报，直至接收到医护人员的确认指令；The alarm module is used to generate continuous out-of-position pre-alarms after receiving the out-of-position pre-alarm signal until receiving a confirmation instruction from a medical staff;
模型构建模块用于将离位预报警信号以及医护人员的确认指令进行记录，构建模型，并根据医护人员的确认指令进行纠正。The model building module is used to record the off-site pre-alarm signal and the confirmation instructions of the medical staff, build a model, and make corrections according to the confirmation instructions of the medical staff.
本发明的工作原理：包括以下步骤：步骤一：通过采集设备获取目标周期内老年患者的生理信息，对生理信息进行处理，获得生理参数波动表征值，对生理参数波动表征值进行对比分析，判断患者是否处于正常状态，且当患者处于非正常状态时，生成离位预报警信号；若生理参数波动表征值＜生理参数波动阈值，则判定老年患者处于正常状态；若生理参数波动表征值≥生理参数波动阈值，则判定老年患者处于非正常状态，生成离位预报警信号，并发送至报警模块；步骤二：报警模块接收到离位预报警信号后，生成连续离位预警报，直至接收到医护人员的确认指令；步骤三：将离位预报警信号以及医护人员的确认指令进行记录，构建模型，并根据医护人员的确认指令进行纠正。The working principle of the present invention comprises the following steps: Step 1: Acquire the physiological information of the elderly patient within the target period through the acquisition device, process the physiological information, obtain the physiological parameter fluctuation characterization value, compare and analyze the physiological parameter fluctuation characterization value, judge whether the patient is in a normal state, and generate an out-of-position pre-alarm signal when the patient is in an abnormal state; if the physiological parameter fluctuation characterization value is less than the physiological parameter fluctuation threshold, it is judged that the elderly patient is in a normal state; if the physiological parameter fluctuation characterization value is greater than or equal to the physiological parameter fluctuation threshold, it is judged that the elderly patient is in an abnormal state, generate an out-of-position pre-alarm signal, and send it to the alarm module; Step 2: After the alarm module receives the out-of-position pre-alarm signal, it generates continuous out-of-position pre-alarms until receiving the confirmation instruction of the medical staff; Step 3: Record the out-of-position pre-alarm signal and the confirmation instruction of the medical staff, build a model, and make corrections according to the confirmation instruction of the medical staff.
上述公式均是采集大量数据进行软件模拟得出且选取与真实值接近的一个公式，公式中的因子是由本领域技术人员根据实际情况进行设置；如：公式由本领域技术人员采集多组生理信息表征值并对每一组生理信息表征值设定对应的生理参数；将设定的生理参数和采集的生理信息表征值代入公式，任意三个公式构成三元一次方程组，将计算得到的因子进行筛选并取均值，得到c1、c2以及c3的取值分别为3.27、1.65和2.23；The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The factors in the formula are set by technicians in this field according to actual conditions; for example: Formula A technician in this field collects multiple sets of physiological information representation values and sets corresponding physiological parameters for each set of physiological information representation values; substitutes the set physiological parameters and the collected physiological information representation values into the formula, any three formulas constitute a three-variable linear equation system, and the calculated factors are screened and averaged to obtain the values of c1 , c2 and c3 , which are 3.27, 1.65 and 2.23 respectively;
因子的大小是为了将各个参数进行量化得到的一个具体的数值，便于后续比较，关于因子的大小，取决于生理信息表征值的多少及本领域技术人员对每一组生理信息表征值初步设定对应的生理参数；只要不影响参数与量化后数值的比例关系即可，如生理参数与心血管表征值的数值成正比。The size of the factor is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the factor depends on the number of physiological information representation values and the preliminary setting of corresponding physiological parameters for each set of physiological information representation values by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantified value, such as the physiological parameter is proportional to the cardiovascular representation value.
以上对本发明的一个实施例进行了详细说明，但所述内容仅为本发明的较佳实施例，不能被认为用于限定本发明的实施范围。凡依本发明申请范围所作的均等变化与改进等，均应仍归属于本发明的专利涵盖范围之内。The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
| Application Number | Priority Date | Filing Date | Title |
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| CN202410224186.2ACN118197002B (en) | 2024-02-29 | 2024-02-29 | Off-site early warning method and device for elderly patients |
| Application Number | Priority Date | Filing Date | Title |
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| CN202410224186.2ACN118197002B (en) | 2024-02-29 | 2024-02-29 | Off-site early warning method and device for elderly patients |
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| CN118197002B CN118197002B (en) | 2024-09-13 |
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| CN202410224186.2AActiveCN118197002B (en) | 2024-02-29 | 2024-02-29 | Off-site early warning method and device for elderly patients |
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