技术领域technical field
本发明涉及一种可穿戴设备,特别涉及一种可穿戴式心理压力评测装置,同时还涉及一种可穿戴装置的数据分析处理方法,属于心理健康应用技术领域。The invention relates to a wearable device, in particular to a wearable psychological stress evaluation device, and also relates to a data analysis and processing method of the wearable device, which belongs to the technical field of mental health applications.
背景技术Background technique
随着可穿戴设备的兴起,越来越多的设备可以在日常的情景下采集人们的生理参数:如心率、皮肤温度等。在日常情景下,通过长时程采集生理数据,能够更加有效地对人们的生理健康情况做出统计和预测。目前,已有较多的技术围绕着利用通过可穿戴设备进行生理健康的评测展开,在市场上也有较多可用产品。然而,心理健康作为健康的主要组成部分却较少被关注。With the rise of wearable devices, more and more devices can collect people's physiological parameters in daily situations: such as heart rate, skin temperature, etc. In daily situations, by collecting physiological data over a long period of time, it is possible to more effectively make statistics and forecasts on people's physiological health. At present, there are many technologies around the use of wearable devices for physiological health evaluation, and there are many available products on the market. However, mental health has received less attention as a major component of health.
心理压力是现代社会人们所面临的主要心理健康问题之一,高心理压力对人们的工作生活效率、生活品质等方面都有重要影响。市场上现有的可穿戴设备尚不具备通过采集生理参数对心理压力情况进行评测的功能,而该功能对受到心理压力困扰的人群有十分重要的价值,有必要建立一种基于可穿戴生理测量技术的心理压力评测方法与装置。因而,通过可穿戴设备监测人们的心理健康是极为重要,且有实际利用价值的。Psychological stress is one of the main mental health problems faced by people in modern society. High psychological stress has an important impact on people's work and life efficiency and quality of life. The existing wearable devices on the market do not yet have the function of evaluating psychological stress by collecting physiological parameters, and this function is of great value to people who are troubled by psychological stress. It is necessary to establish a wearable physiological measurement Method and device for psychological stress assessment of technology. Therefore, monitoring people's mental health through wearable devices is extremely important and has practical value.
发明内容Contents of the invention
本发明要解决的技术问题是提供一种能够获取用户心理健康程度的一种可穿戴式心理压力评测装置及其心理压力评测方法。The technical problem to be solved by the present invention is to provide a wearable psychological stress assessment device and a psychological stress assessment method capable of obtaining the user's mental health.
为实现上述的发明目的,本发明提供了一种可穿戴式心理压力评测装置,包括:In order to achieve the above-mentioned purpose of the invention, the present invention provides a wearable psychological stress evaluation device, including:
生理数据传感器模块、数据记录模块、数据分析模型、显示模块、以及电源模块,其中,Physiological data sensor module, data recording module, data analysis model, display module, and power supply module, wherein,
所述生理数据传感器模块将所测得的生理参数信号传输至所述数据记录模块,所述数据记录模块对所测得的生理参数信号进行转换处理后得到生理参数数据,将生理参数数据传输至所述数据分析模块,所述数据分析模块通过个体化生理-心理模型对生理参数数据分析,并将分析结果传输至所述显示模块进行显示。The physiological data sensor module transmits the measured physiological parameter signals to the data recording module, and the data recording module converts the measured physiological parameter signals to obtain physiological parameter data, and transmits the physiological parameter data to In the data analysis module, the data analysis module analyzes the physiological parameter data through an individualized physiological-psychological model, and transmits the analysis results to the display module for display.
其中较优地,还包括通信模块,所述通信模块与所述数据分析模块通信连接;Wherein preferably, it also includes a communication module, and the communication module is communicatively connected with the data analysis module;
所述数据分析模块分析后的生理参数数据通过所述通信模块传输至上位机。The physiological parameter data analyzed by the data analysis module is transmitted to the host computer through the communication module.
其中较优地,所述通信模块是无线通信模块Wherein preferably, the communication module is a wireless communication module
所述数据分析模块将分析结果通过无线方式传输至计算机或智能手机。The data analysis module wirelessly transmits the analysis results to a computer or a smart phone.
其中较优地,所述生理数据传感器模块,还包括:心率传感器子模块、运动传感器子模块和皮肤温度传感器子模块,其中,Preferably, the physiological data sensor module further includes: a heart rate sensor submodule, a motion sensor submodule and a skin temperature sensor submodule, wherein,
所述心率传感器子模块使用基于近红外光或可见光反射成像得到脉搏波,提取脉搏波的周期性波动节律获取心率信息;The heart rate sensor sub-module obtains the pulse wave based on near-infrared light or visible light reflection imaging, and extracts the periodic fluctuation rhythm of the pulse wave to obtain heart rate information;
所述运动传感器子模块通过三轴加速度计得到佩戴智能手环的腕部运动数据,通过计算三轴加速度的平方和以获取运动情况信息;The motion sensor sub-module obtains the wrist motion data of wearing the smart bracelet through the three-axis accelerometer, and obtains the motion information by calculating the sum of the squares of the three-axis acceleration;
所述皮肤温度传感器通过与目标用户手腕部接触的金属片传导皮肤温度,并通过与其连接的热敏电阻随温度的阻抗数值变化以获取皮肤温度信息。The skin temperature sensor conducts skin temperature through the metal sheet in contact with the target user's wrist, and obtains skin temperature information through the impedance value change of the thermistor connected to it with temperature.
其中较优地,所述数据记录模块将接收的生理参数信号进行模数转换,并进行采样和存储。Preferably, the data recording module performs analog-to-digital conversion on the received physiological parameter signal, samples and stores it.
其中较优地,所述数据记录模块对生理参数信号采样时采样率不低于6Hz。Preferably, when the data recording module samples the physiological parameter signal, the sampling rate is not lower than 6 Hz.
本发明还提供了一种心理压力评测方法,包括以下步骤:The present invention also provides a method for evaluating psychological stress, comprising the following steps:
S1、根据基础人口学信息选择匹配群体构建心理压力评测的生理-心理基础模型;S1. Select matching groups based on basic demographic information to construct a physiological-psychological basic model for psychological stress assessment;
S2、对基于所述生理-心理基础模型校准,构建基于用户生理参数特征的个体化生理-心理模型;S2. Calibrate based on the physiological-psychological basic model, and construct an individualized physiological-psychological model based on the characteristics of the user's physiological parameters;
S3、实时采集用户的心理数据,通过个体化生理-心理模型对生理参数数据分析,并进行显示,或者上传至上位机。S3. Collect the user's psychological data in real time, analyze the physiological parameter data through the individualized physiological-psychological model, and display it, or upload it to the host computer.
其中较优地,所述步骤S1进一步包括以下步骤:Wherein preferably, said step S1 further includes the following steps:
S11、采集多名匹配受试者的生理信息和心理压力信息;S11. Collect the physiological information and psychological pressure information of multiple matching subjects;
S12、将所述生理信息和心理压力信息进行傅里叶变换,获取不同时间尺度的响应特性;S12. Perform Fourier transform on the physiological information and psychological pressure information to obtain response characteristics of different time scales;
S13、通过多元自回归模型对所述响应特性进行时间过程建模,经过多次训练后得到线性分类器;S13. Carry out time-course modeling on the response characteristic through a multivariate autoregressive model, and obtain a linear classifier after multiple trainings;
S14、对所述线性分类器进行交叉检验,对所述线性分类器的特征数量进行删减,得到生理-心理基础模型。S14. Perform a cross-check on the linear classifier, and delete the number of features of the linear classifier to obtain a physiological-psychological basic model.
其中较优地,所述步骤S13中,所述线性分类器以多元回归模型参数为特征,以主观心理压力水平为目标。Wherein preferably, in the step S13, the linear classifier is characterized by multiple regression model parameters, and takes the subjective psychological stress level as the target.
其中较优地,所述步骤S2进一步包括以下步骤:Wherein preferably, said step S2 further includes the following steps:
S21、采集目标用户的生理数据及随机时间段的主观压力水平结果;S21. Collect the physiological data of the target user and the results of the subjective stress level in a random time period;
S22、根据所述生理数据与主观压力水平结果优化所述生理-心理基础模型,得到符合目标用户的主体化生理-心理模型。S22. Optimizing the physiological-psychological basic model according to the physiological data and the subjective stress level results to obtain a subject physiological-psychological model that meets the target user.
与现有技术相比,本发明具有以下有益效果:Compared with the prior art, the present invention has the following beneficial effects:
(1)本发明实现了心理压力的精确定量评测;(1) the present invention has realized the accurate quantitative evaluation of psychological pressure;
(2)个体化生理-心理模型的构建使心理压力的评测可以更好的符合目标用户个体的生理信号特征,得到更好预测的评测输出结果;(2) The construction of an individualized physiological-psychological model enables the evaluation of psychological stress to better conform to the physiological signal characteristics of the target user individual, and obtain better predictive evaluation output results;
(3)可以在日常生活情景下便捷的开展长时间的心理压力评测,对目标用户的心理压力水平更加综合的评价,为后续心理压力干预提供数据支撑。(3) Long-term psychological stress evaluation can be conveniently carried out in daily life situations, and a more comprehensive evaluation of the psychological stress level of target users can be provided to provide data support for subsequent psychological stress intervention.
附图说明Description of drawings
图1是本发明所提供的可穿戴式心理压力评测装置结构示意图;Fig. 1 is a schematic structural diagram of a wearable psychological stress assessment device provided by the present invention;
图2是本发明所提供的一种可穿戴式心理压力评测方法流程图。Fig. 2 is a flow chart of a wearable psychological stress assessment method provided by the present invention.
具体实施方式Detailed ways
下面结合附图和实施例,对本发明的具体实施方式作进一步详细描述。以下实施例用于说明本发明,但不用来限制本发明的范围。The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
为实现上述目的,本发明将通过以下技术方案实现:To achieve the above object, the present invention will be achieved through the following technical solutions:
本发明提供了一种可穿戴式心理压力评测装置,如图1所示,包括生理数据传感器模块、数据记录模块、数据分析模型、显示模块、通信模块以及电源模块。The present invention provides a wearable psychological stress evaluation device, as shown in FIG. 1 , including a physiological data sensor module, a data recording module, a data analysis model, a display module, a communication module and a power supply module.
生理数据传感器模块将所测得的数据传输至数据记录模块,数据记录模块对所测得的数据进行处理后传输至数据分析模块,数据分析模块通过个体化生理-心理模型对生理参数数据分析,将分析结果传输至显示模块进行显示,并通过通信模块传输至相应的计算机或者移动终端。The physiological data sensor module transmits the measured data to the data recording module, and the data recording module processes the measured data and then transmits it to the data analysis module. The data analysis module analyzes the physiological parameter data through an individualized physiological-psychological model, The analysis results are transmitted to the display module for display, and transmitted to the corresponding computer or mobile terminal through the communication module.
其中,生理数据传感器模块,还包括:心率传感器子模块、运动传感器子模块和皮肤温度传感器子模块。心率传感器子模块使用基于近近红外光或可见光反射成像得到脉搏波,提取脉搏波的周期性波动节律获取心率信息;运动传感器子模块通过三轴加速度计得到佩戴智能手环的腕部运动数据,通过计算三轴加速度的平方和以获取运动情况信息;皮肤温度传感器通过与目标用户手腕部接触的金属片传导皮肤温度,并通过与其连接的热敏电阻随温度的阻抗数值变化以获取皮肤温度信息。Wherein, the physiological data sensor module also includes: a heart rate sensor sub-module, a motion sensor sub-module and a skin temperature sensor sub-module. The heart rate sensor sub-module obtains the pulse wave based on near-infrared light or visible light reflection imaging, and extracts the periodic fluctuation rhythm of the pulse wave to obtain heart rate information; the motion sensor sub-module obtains the wrist motion data of the smart bracelet through the three-axis accelerometer, By calculating the sum of the squares of the three-axis acceleration to obtain motion information; the skin temperature sensor conducts skin temperature through the metal sheet in contact with the target user's wrist, and obtains skin temperature information through the impedance value of the connected thermistor changing with temperature .
数据记录模块与数据记录模块相连,把传感器所采集到的生理参数进行模数转换,采样并进行数据存储。上述生理数据的采样率不低于6Hz,手环可连续存储不少于48小时数据。The data recording module is connected with the data recording module, and performs analog-to-digital conversion on the physiological parameters collected by the sensor, samples and stores the data. The sampling rate of the above physiological data is not lower than 6Hz, and the bracelet can continuously store data for not less than 48 hours.
数据记录模块与数据分析模块相连,把数字化之后的数据根据个体化生理-心理模型通过智能手环配置的数字信号处理器DSP进行计算,输出心理压力评测结果。The data recording module is connected with the data analysis module, and the digitized data is calculated through the digital signal processor DSP equipped with the smart bracelet according to the individualized physiological-psychological model, and the psychological stress evaluation results are output.
最后,数据分析模块与显示模块及通信模块相连,将分析结果通过显示模块进行显示,以实现在智能手环上的结果呈现,也可以由通信模块通过无线数据传输技术(包括但不限于蓝牙、WiFi)将结果传输至智能手机、个人计算机进行结果呈现或数据的进一步分析。Finally, the data analysis module is connected with the display module and the communication module, and the analysis results are displayed through the display module to realize the result presentation on the smart bracelet. The communication module can also use wireless data transmission technology (including but not limited to Bluetooth, WiFi) to transmit the results to smartphones, personal computers for result presentation or further analysis of data.
本发明还公开了一种可穿戴式心理压力评测方法,基于上述可穿戴式心理压力评测装置实现,如图2所示,包括以下步骤:S1、根据基础人口学信息选择匹配群体构建心理压力评测的生理-心理基础模型;S2、对基于所述生理-心理基础模型校准,构建基于用户生理参数特征的个体化生理-心理模型;S3、实时采集用户的心理数据,通过个体化生理-心理模型对生理参数数据分析,并进行显示,或者上传至上位机。下面对本发明提供的可穿戴式心理压力评测方法展开详细说明。The present invention also discloses a wearable psychological stress evaluation method, which is implemented based on the above-mentioned wearable psychological stress evaluation device, as shown in Figure 2, including the following steps: S1. Select a matching group according to basic demographic information to construct a psychological stress evaluation S2. Calibrating based on the physiological-psychological basic model, constructing an individualized physiological-psychological model based on the characteristics of the user’s physiological parameters; S3. Collecting the user’s psychological data in real time, through the individualized physiological-psychological model Analyze and display the physiological parameter data, or upload it to the host computer. The wearable psychological stress evaluation method provided by the present invention will be described in detail below.
S1、构建心理压力评测的生理-心理基础模型。S1. Construct a physiological-psychological basis model for psychological stress assessment.
由于生理信息的心理压力评测具有较大的群体间差异,因此,需要根据目标用户群体的年龄结构、工作生活节奏等基础人口学信息选择匹配群体,进行构建生理-心理基础模型。本发明采用特征提取与模式识别方法,对来自匹配群体的生理信息数据及主观心理压力报告数据,进行一系列特征提取与模式识别,从而可以构建能够区分不同心理压力水平的基础生活-心理模型。Since the psychological stress evaluation of physiological information has large differences among groups, it is necessary to select matching groups based on basic demographic information such as the age structure and work and life rhythm of the target user group to construct a basic physiological-psychological model. The present invention uses feature extraction and pattern recognition methods to perform a series of feature extraction and pattern recognition on the physiological information data and subjective psychological pressure report data from matching groups, so as to build a basic life-psychological model that can distinguish different levels of psychological stress.
S2、构建基于用户生理参数特征的个体化生理-心理模型。S2. Construct an individualized physiological-psychological model based on the user's physiological parameter characteristics.
由于个体用户的差异性,需要对不同的用户进行个体化处理,采集单个用户24-48小时的生理数据,并在该时间内多次汇报主观心理压力情况。根据所采集的用户的生理与主观心理压力的数据,对生理-心理基础模型进行修改,以实现基础模型到个体化模型的最终校准。校准之后的个体化生理-心理模型即可投入实际使用。Due to the differences of individual users, it is necessary to carry out individualized treatment for different users, collect physiological data of a single user for 24-48 hours, and report the subjective psychological stress situation several times during this time. According to the collected data of the user's physiological and subjective psychological pressure, the physiological-psychological basic model is modified to achieve the final calibration of the basic model to the individualized model. The calibrated individualized physiological-mental model is ready for practical use.
S3、可穿戴式心理压力评测装置。S3. Wearable psychological stress evaluation device.
将校准后的个体化生理-心理模型参数下载到一个可穿戴智能手环上,在该智能手环上实现生理信息数据采集,并根据生理数据和个体化模型进行主观压力预测计算的完整功能。Download the calibrated individualized physiological-psychological model parameters to a wearable smart bracelet, and realize the physiological information data collection on the smart bracelet, and perform the complete function of subjective stress prediction and calculation according to the physiological data and the individualized model.
心理压力评测结果可以通过智能手环、智能手机或个人计算机进行呈现。The psychological stress evaluation results can be presented through smart bracelets, smart phones or personal computers.
实施例Example
在上述可穿戴式心理压力评测装置基础上,本实施例采用上述可穿戴式心理压力评测方法为用户进行构建生理-心理模型,包括:On the basis of the above-mentioned wearable psychological stress evaluation device, this embodiment adopts the above-mentioned wearable psychological stress evaluation method to construct a physiological-psychological model for the user, including:
(1)针对目标用户人口学特征的匹配群体进行生理-心理基础模型构建。该步骤中需要多名匹配群体受试者,较优的,本实施例选择至少30名受试者,每位受试者佩戴可测量心率、皮肤温度、身体运动信息的可穿戴式心理压力评测装置(可穿戴智能手环)不少于14天时间,并且,通过智能手机或问卷方式每天随机抽取至少5个时间段汇报实时心理压力水平。(1) Build a physiological-psychological basic model for the matching group of target user demographic characteristics. In this step, multiple matching group subjects are required. Preferably, at least 30 subjects are selected in this embodiment, and each subject wears a wearable psychological stress assessment device that can measure heart rate, skin temperature, and body movement information. The device (wearable smart bracelet) is not less than 14 days, and at least 5 time periods are randomly selected every day to report real-time psychological stress levels through smart phones or questionnaires.
所获取的生理数据将通过傅里叶变换,获取不同时间尺度的响应特性,并通过多元自回归模型进行时间过程建模,多次训练后得到以多元回归模型参数为特征、主观心理压力水平为目标的线性分类器。对线性分类器进行交叉检验,根据所得分类器的准确率将其特征数量删减至合理水平。该线性分类器即为本实施例的生理-心理基础模型。The acquired physiological data will be transformed by Fourier to obtain the response characteristics of different time scales, and the time process modeling will be carried out through the multiple autoregressive model. A linear classifier for the target. Cross-check the linear classifier, and reduce the number of features to a reasonable level according to the accuracy of the obtained classifier. The linear classifier is the physiological-psychological basic model of this embodiment.
(2)构建个体化生理-心理模型。在上述线性分类器模型基础上,采集目标用户24-48小时的生理数据及随机5-10个时间段的主观压力水平结果,对线性分类器模型的具体参数进行进一步优化,使其符合该目标用户的个体化特征。最后,对该线性分类器模型进行计算效率优化后,放置于可穿戴智能手环的数据分析模块实现。(2) Build an individualized physiological-psychological model. On the basis of the above linear classifier model, collect the physiological data of the target user for 24-48 hours and the subjective stress level results of random 5-10 time periods, and further optimize the specific parameters of the linear classifier model to make it meet the goal User's individual characteristics. Finally, after optimizing the calculation efficiency of the linear classifier model, it is implemented in the data analysis module of the wearable smart bracelet.
(3)用户通过佩戴该智能手环,可以实时地或者定时的将数据上传给计算机或者智能手机,通过计算机或者智能手机随时关注本人的心理压力情况,并及时的做出相应的调整。(3) By wearing the smart bracelet, the user can upload data to the computer or smart phone in real time or regularly, and pay attention to the psychological stress of the user through the computer or smart phone at any time, and make corresponding adjustments in time.
综上所述,本发明实施例公开的心理压力评测方法及装置,实现了心理压力的精确定量评测。个体化生理-心理模型的构建使心理压力的评测可以更好的符合目标用户个体的生理信号特征,得到更好预测力的评测输出结果。同时,基于可穿戴装置实现压力评测可以在日常生活情景下便捷的开展长时间的心理压力评测,对目标用户的心理压力水平更加综合的评价,并提出后续心理压力干预手段提供数据支撑。In summary, the method and device for evaluating psychological stress disclosed in the embodiments of the present invention realize accurate quantitative evaluation of psychological stress. The construction of an individualized physiological-mental model enables the evaluation of psychological stress to better conform to the physiological signal characteristics of the target user's individual, and obtain a better predictive evaluation output. At the same time, the realization of stress assessment based on wearable devices can conveniently carry out long-term psychological stress assessment in daily life situations, evaluate the psychological stress level of target users more comprehensively, and propose follow-up psychological stress intervention methods to provide data support.
以上实施方式仅用于说明本发明,而并非对本发明的限制,有关技术领域的普通技术人员,在不脱离本发明的精神和范围的情况下,还可以做出各种变化和变型,因此所有等同的技术方案也属于本发明的范畴,本发明的专利保护范围应由权利要求限定。The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Those of ordinary skill in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, all Equivalent technical solutions also belong to the category of the present invention, and the scope of patent protection of the present invention should be defined by the claims.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410746621.4ACN104490407A (en) | 2014-12-08 | 2014-12-08 | Wearable mental stress evaluating device and method |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410746621.4ACN104490407A (en) | 2014-12-08 | 2014-12-08 | Wearable mental stress evaluating device and method |
| Publication Number | Publication Date |
|---|---|
| CN104490407Atrue CN104490407A (en) | 2015-04-08 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410746621.4APendingCN104490407A (en) | 2014-12-08 | 2014-12-08 | Wearable mental stress evaluating device and method |
| Country | Link |
|---|---|
| CN (1) | CN104490407A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104933517A (en)* | 2015-06-01 | 2015-09-23 | 惠州Tcl移动通信有限公司 | Mental stress assessment method and system based on intelligent wearable equipment |
| CN105249958A (en)* | 2015-10-09 | 2016-01-20 | 北京奇虎科技有限公司 | Human body information monitoring method, apparatus and system |
| CN105326503A (en)* | 2015-11-30 | 2016-02-17 | 江门大诚医疗器械有限公司 | Human body moisture detection bracelet |
| CN105797257A (en)* | 2016-05-06 | 2016-07-27 | 包磊 | Biofeedback training system and method and intelligent terminal |
| CN105832350A (en)* | 2016-05-06 | 2016-08-10 | 姜振宇 | Monitored wristband, monitoring wristbands and abnormal emotion monitoring system and method |
| CN105997106A (en)* | 2015-03-25 | 2016-10-12 | 塔塔顾问服务有限公司 | System and method for determining psychological stress of a person |
| WO2016165343A1 (en)* | 2015-04-17 | 2016-10-20 | 深圳市元征科技股份有限公司 | Method and terminal for detecting fatigue state |
| CN106037764A (en)* | 2016-05-20 | 2016-10-26 | 包磊 | Pressure management method and system |
| CN106175800A (en)* | 2016-07-10 | 2016-12-07 | 北京工业大学 | A kind of Mood State quantitative estimation method based on human motion state data |
| CN106236115A (en)* | 2016-08-12 | 2016-12-21 | 渤海大学 | A kind of psychological test system |
| CN106650231A (en)* | 2016-11-10 | 2017-05-10 | 深圳市元征软件开发有限公司 | Method and device for processing wireless body area network data |
| CN106923846A (en)* | 2015-12-31 | 2017-07-07 | 深圳先进技术研究院 | A kind of psychological pressure assessment and reponse system |
| CN107291248A (en)* | 2017-07-27 | 2017-10-24 | 深圳市魔眼科技有限公司 | A kind of system and method for the pressure evaluation and test decompression based on virtual reality |
| CN107874750A (en)* | 2017-11-28 | 2018-04-06 | 华南理工大学 | Pulse frequency variability and the psychological pressure monitoring method and device of sleep quality fusion |
| WO2018090304A1 (en)* | 2016-11-17 | 2018-05-24 | 华为技术有限公司 | Mental stress evaluation method and device |
| CN108378860A (en)* | 2018-03-07 | 2018-08-10 | 华南理工大学 | Psychological pressure monitor system and method based on wearable device and android terminal |
| CN108447557A (en)* | 2018-02-08 | 2018-08-24 | 国政通科技股份有限公司 | A kind of medical analysis method and device based on deep learning |
| CN108577865A (en)* | 2018-03-14 | 2018-09-28 | 天使智心(北京)科技有限公司 | A kind of psychological condition determines method and device |
| CN108618788A (en)* | 2017-11-29 | 2018-10-09 | 淄博职业学院 | A kind of psychological pressure apparatus for evaluating and psychological pressure appraisal procedure |
| CN109157232A (en)* | 2018-10-31 | 2019-01-08 | 深圳市儿童医院 | Heart rate variability feedback training householder method, device, equipment and storage medium |
| WO2019037045A1 (en)* | 2017-08-24 | 2019-02-28 | 华为技术有限公司 | Psychological stress assessment method and apparatus |
| CN109758141A (en)* | 2019-03-06 | 2019-05-17 | 清华大学 | Psychological stress monitoring method, device and system |
| CN110025321A (en)* | 2019-03-20 | 2019-07-19 | 华为技术有限公司 | A kind of psychological pressure appraisal procedure and relevant device |
| CN110192872A (en)* | 2019-04-16 | 2019-09-03 | 华为技术有限公司 | Stress appraisal calibration method, device and storage medium |
| CN110200642A (en)* | 2019-06-04 | 2019-09-06 | 清华大学 | A method and terminal for measuring cognitive load and psychological stress |
| WO2019191864A1 (en)* | 2018-04-02 | 2019-10-10 | 华为技术有限公司 | Method and device for determining pressure value |
| CN110916635A (en)* | 2019-11-15 | 2020-03-27 | 北京点滴灵犀科技有限公司 | Psychological pressure grading and training method and device |
| CN111341416A (en)* | 2018-12-18 | 2020-06-26 | 华为技术有限公司 | Psychological stress assessment model processing method and related equipment |
| CN113100718A (en)* | 2021-03-04 | 2021-07-13 | 深圳正一电子电缆有限公司 | Intelligent bracelet for epidemic prevention and control |
| CN113161018A (en)* | 2021-05-24 | 2021-07-23 | 中实医疗科技江苏有限公司 | Psychological stress analysis and health service platform based on big data |
| CN113693597A (en)* | 2021-08-05 | 2021-11-26 | 沃民高新科技(北京)股份有限公司 | Mental health evaluating system for human heart recognition |
| CN114420294A (en)* | 2022-03-24 | 2022-04-29 | 北京无疆脑智科技有限公司 | Psychological development level assessment method, device, equipment, storage medium and system |
| CN114864021A (en)* | 2022-04-20 | 2022-08-05 | 盐城师范学院 | Psychological decompression method and system |
| CN115101203A (en)* | 2022-06-15 | 2022-09-23 | 北京雪扬科技有限公司 | Mental health index evaluation method and system |
| CN117017294A (en)* | 2023-09-11 | 2023-11-10 | 北京汇心健康科技有限公司 | Individual psychological trait analysis method based on body multi-point multi-mode physiological signals |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2645608Y (en)* | 2003-10-14 | 2004-10-06 | 北京新科永创科技有限公司 | Psychological skill training feedback instrument |
| CN101331490A (en)* | 2005-09-12 | 2008-12-24 | 埃默迪弗系统股份有限公司 | Detection of and interaction using mental states |
| US20110092790A1 (en)* | 2009-10-16 | 2011-04-21 | Oliver Wilder-Smith | Biosensor module with leadless contacts |
| JP2013027570A (en)* | 2011-07-28 | 2013-02-07 | Panasonic Corp | Psychological condition evaluation device, psychological condition evaluation system, psychological condition evaluation method, and program |
| CN103315753A (en)* | 2013-06-24 | 2013-09-25 | 西南大学 | Portable sentiment analyzer and sentiment analysis method |
| CN103584872A (en)* | 2013-10-29 | 2014-02-19 | 燕山大学 | A psychological stress assessment method based on the fusion of multiple physiological parameters |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2645608Y (en)* | 2003-10-14 | 2004-10-06 | 北京新科永创科技有限公司 | Psychological skill training feedback instrument |
| CN101331490A (en)* | 2005-09-12 | 2008-12-24 | 埃默迪弗系统股份有限公司 | Detection of and interaction using mental states |
| US20110092790A1 (en)* | 2009-10-16 | 2011-04-21 | Oliver Wilder-Smith | Biosensor module with leadless contacts |
| JP2013027570A (en)* | 2011-07-28 | 2013-02-07 | Panasonic Corp | Psychological condition evaluation device, psychological condition evaluation system, psychological condition evaluation method, and program |
| CN103315753A (en)* | 2013-06-24 | 2013-09-25 | 西南大学 | Portable sentiment analyzer and sentiment analysis method |
| CN103584872A (en)* | 2013-10-29 | 2014-02-19 | 燕山大学 | A psychological stress assessment method based on the fusion of multiple physiological parameters |
| Title |
|---|
| 孙洪央: "基于多生理信号的压力状态下情绪识别方法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105997106A (en)* | 2015-03-25 | 2016-10-12 | 塔塔顾问服务有限公司 | System and method for determining psychological stress of a person |
| WO2016165343A1 (en)* | 2015-04-17 | 2016-10-20 | 深圳市元征科技股份有限公司 | Method and terminal for detecting fatigue state |
| CN104933517A (en)* | 2015-06-01 | 2015-09-23 | 惠州Tcl移动通信有限公司 | Mental stress assessment method and system based on intelligent wearable equipment |
| CN105249958A (en)* | 2015-10-09 | 2016-01-20 | 北京奇虎科技有限公司 | Human body information monitoring method, apparatus and system |
| CN105249958B (en)* | 2015-10-09 | 2018-03-23 | 北京奇虎科技有限公司 | Human body information monitoring method, apparatus and system |
| CN105326503A (en)* | 2015-11-30 | 2016-02-17 | 江门大诚医疗器械有限公司 | Human body moisture detection bracelet |
| CN106923846A (en)* | 2015-12-31 | 2017-07-07 | 深圳先进技术研究院 | A kind of psychological pressure assessment and reponse system |
| CN105797257A (en)* | 2016-05-06 | 2016-07-27 | 包磊 | Biofeedback training system and method and intelligent terminal |
| CN105832350A (en)* | 2016-05-06 | 2016-08-10 | 姜振宇 | Monitored wristband, monitoring wristbands and abnormal emotion monitoring system and method |
| CN105832350B (en)* | 2016-05-06 | 2019-03-08 | 姜振宇 | Monitored bracelet, monitoring bracelet, abnormal emotion monitor system and method |
| CN106037764B (en)* | 2016-05-20 | 2019-02-19 | 包磊 | A kind of stress management method and system |
| WO2017197801A1 (en)* | 2016-05-20 | 2017-11-23 | 包磊 | Stress management method and system |
| CN106037764A (en)* | 2016-05-20 | 2016-10-26 | 包磊 | Pressure management method and system |
| CN106175800A (en)* | 2016-07-10 | 2016-12-07 | 北京工业大学 | A kind of Mood State quantitative estimation method based on human motion state data |
| CN106236115A (en)* | 2016-08-12 | 2016-12-21 | 渤海大学 | A kind of psychological test system |
| CN106650231A (en)* | 2016-11-10 | 2017-05-10 | 深圳市元征软件开发有限公司 | Method and device for processing wireless body area network data |
| WO2018090304A1 (en)* | 2016-11-17 | 2018-05-24 | 华为技术有限公司 | Mental stress evaluation method and device |
| US11547334B2 (en) | 2016-11-17 | 2023-01-10 | Huawei Technologies Co., Ltd. | Psychological stress estimation method and apparatus |
| CN108601566A (en)* | 2016-11-17 | 2018-09-28 | 华为技术有限公司 | Method and device for assessing mental stress |
| CN108601566B (en)* | 2016-11-17 | 2020-06-26 | 华为技术有限公司 | Method and device for evaluating mental stress |
| CN107291248A (en)* | 2017-07-27 | 2017-10-24 | 深圳市魔眼科技有限公司 | A kind of system and method for the pressure evaluation and test decompression based on virtual reality |
| CN113974626B (en)* | 2017-08-24 | 2023-03-10 | 华为技术有限公司 | Psychological stress assessment method and equipment |
| CN113974626A (en)* | 2017-08-24 | 2022-01-28 | 华为技术有限公司 | A kind of psychological stress assessment method and equipment |
| CN110337699A (en)* | 2017-08-24 | 2019-10-15 | 华为技术有限公司 | Method and device for assessing psychological stress |
| WO2019037045A1 (en)* | 2017-08-24 | 2019-02-28 | 华为技术有限公司 | Psychological stress assessment method and apparatus |
| CN107874750A (en)* | 2017-11-28 | 2018-04-06 | 华南理工大学 | Pulse frequency variability and the psychological pressure monitoring method and device of sleep quality fusion |
| CN108618788A (en)* | 2017-11-29 | 2018-10-09 | 淄博职业学院 | A kind of psychological pressure apparatus for evaluating and psychological pressure appraisal procedure |
| CN108447557A (en)* | 2018-02-08 | 2018-08-24 | 国政通科技股份有限公司 | A kind of medical analysis method and device based on deep learning |
| CN108378860A (en)* | 2018-03-07 | 2018-08-10 | 华南理工大学 | Psychological pressure monitor system and method based on wearable device and android terminal |
| CN108577865A (en)* | 2018-03-14 | 2018-09-28 | 天使智心(北京)科技有限公司 | A kind of psychological condition determines method and device |
| CN111315296B (en)* | 2018-04-02 | 2021-06-01 | 华为技术有限公司 | Method and device for determining pressure value |
| WO2019191864A1 (en)* | 2018-04-02 | 2019-10-10 | 华为技术有限公司 | Method and device for determining pressure value |
| CN111315296A (en)* | 2018-04-02 | 2020-06-19 | 华为技术有限公司 | Method and device for determining pressure value |
| CN109157232A (en)* | 2018-10-31 | 2019-01-08 | 深圳市儿童医院 | Heart rate variability feedback training householder method, device, equipment and storage medium |
| CN111341416B (en)* | 2018-12-18 | 2023-09-29 | 华为技术有限公司 | Psychological stress assessment model processing method and related equipment |
| CN111341416A (en)* | 2018-12-18 | 2020-06-26 | 华为技术有限公司 | Psychological stress assessment model processing method and related equipment |
| CN109758141A (en)* | 2019-03-06 | 2019-05-17 | 清华大学 | Psychological stress monitoring method, device and system |
| CN110025321A (en)* | 2019-03-20 | 2019-07-19 | 华为技术有限公司 | A kind of psychological pressure appraisal procedure and relevant device |
| CN110025321B (en)* | 2019-03-20 | 2021-08-31 | 华为技术有限公司 | A kind of psychological stress assessment method and related equipment |
| WO2020211702A1 (en)* | 2019-04-16 | 2020-10-22 | 华为技术有限公司 | Stress evaluation calibration method, device and storage medium |
| CN110192872A (en)* | 2019-04-16 | 2019-09-03 | 华为技术有限公司 | Stress appraisal calibration method, device and storage medium |
| CN110200642A (en)* | 2019-06-04 | 2019-09-06 | 清华大学 | A method and terminal for measuring cognitive load and psychological stress |
| CN110916635A (en)* | 2019-11-15 | 2020-03-27 | 北京点滴灵犀科技有限公司 | Psychological pressure grading and training method and device |
| CN113100718A (en)* | 2021-03-04 | 2021-07-13 | 深圳正一电子电缆有限公司 | Intelligent bracelet for epidemic prevention and control |
| CN113161018A (en)* | 2021-05-24 | 2021-07-23 | 中实医疗科技江苏有限公司 | Psychological stress analysis and health service platform based on big data |
| CN113693597B (en)* | 2021-08-05 | 2023-07-14 | 沃民高新科技(北京)股份有限公司 | Psychological health evaluation system for human heart recognition |
| CN113693597A (en)* | 2021-08-05 | 2021-11-26 | 沃民高新科技(北京)股份有限公司 | Mental health evaluating system for human heart recognition |
| CN114420294A (en)* | 2022-03-24 | 2022-04-29 | 北京无疆脑智科技有限公司 | Psychological development level assessment method, device, equipment, storage medium and system |
| CN114864021A (en)* | 2022-04-20 | 2022-08-05 | 盐城师范学院 | Psychological decompression method and system |
| CN115101203A (en)* | 2022-06-15 | 2022-09-23 | 北京雪扬科技有限公司 | Mental health index evaluation method and system |
| CN117017294A (en)* | 2023-09-11 | 2023-11-10 | 北京汇心健康科技有限公司 | Individual psychological trait analysis method based on body multi-point multi-mode physiological signals |
| Publication | Publication Date | Title |
|---|---|---|
| CN104490407A (en) | Wearable mental stress evaluating device and method | |
| US20190365332A1 (en) | Determining wellness using activity data | |
| CN101596107B (en) | Method for realizing detection of heart rate by mobile terminal and mobile terminal thereof | |
| CN104188639A (en) | Ambulatory blood pressure continuous monitoring and real-time analysis system | |
| CN103006195A (en) | Non-contact vital sign data monitoring system and non-contact vital sign data monitoring method on basis of image processing | |
| EP3946038B1 (en) | Assessing muscle fatigue | |
| US20200060546A1 (en) | A System and Method for Monitoring Human Performance | |
| EP3238611A1 (en) | A method and device for estimating a condition of a person | |
| WO2016048520A1 (en) | System method for assessing fitness state via a mobile device | |
| CN106344034A (en) | Sleep quality evaluation system and method | |
| CN105243285A (en) | Big data health forecast system | |
| CN117612329A (en) | A head-mounted device and early warning method for monitoring labor-related heatstroke | |
| Ahanathapillai et al. | Assistive technology to monitor activity, health and wellbeing in old age: The wrist wearable unit in the USEFIL project | |
| Psaltos et al. | Multimodal wearable sensors to measure gait and voice | |
| CN119480083A (en) | A health monitoring system based on wearable devices | |
| WO2024169194A1 (en) | System and device for detecting sleep apnea on the basis of heart rate data on consumer-level device | |
| CN104665795A (en) | Health tester, user terminal and health cloud center | |
| JP7557550B2 (en) | Systems and methods for hypertension monitoring - Patents.com | |
| KR101661116B1 (en) | Programmable multi-modal bio-signal processing module and healthcare platform using the same | |
| CN105105727A (en) | Detection and analysis method and device for health information as well as terminal | |
| CN113499068A (en) | Dynamic blood sugar monitoring system and device | |
| CN120360545B (en) | Auditory cognitive dysfunction assessment and screening system | |
| RU129680U1 (en) | SYSTEM FOR DETERMINING THE FUNCTIONAL STATE OF A PEOPLE GROUP | |
| TWI703518B (en) | Method and electronic device for evaluating overfatigued risk of a laborer | |
| CN113571186B (en) | Method for early warning health of disabled person |
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20150408 | |
| RJ01 | Rejection of invention patent application after publication |