WO2018010117A1 - 检测生理状态的方法和装置 - Google Patents

检测生理状态的方法和装置 Download PDF

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Publication number
WO2018010117A1
WO2018010117A1 PCT/CN2016/089893 CN2016089893W WO2018010117A1 WO 2018010117 A1 WO2018010117 A1 WO 2018010117A1 CN 2016089893 W CN2016089893 W CN 2016089893W WO 2018010117 A1 WO2018010117 A1 WO 2018010117A1
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Prior art keywords
blood pressure
time
user
pressure value
preset
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PCT/CN2016/089893
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English (en)
French (fr)
Inventor
王虎
王尧
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悦享趋势科技（北京）有限责任公司
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Priority to PCT/CN2016/089893 priority Critical patent/WO2018010117A1/zh
Priority to CN201680087680.2A priority patent/CN109475309A/zh
Publication of WO2018010117A1 publication Critical patent/WO2018010117A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure

Definitions

  • the present application relates to the field of detection, and in particular to a method and apparatus for detecting a physiological state.
  • the pulse wave of the human body can be obtained by a pressure sensor, a blood oxygen sensor, an ultrasonic sensor, an electromagnetic field sensor, or the like.
  • Models for calculating blood pressure from pulse waveform features are typically obtained by machine learning methods.
  • the pulse waveform is also subject to similar changes due to interference factors such as individual differences, measurement habits, and cardiovascular disease.
  • the prior art requires the addition of a sample mark, ie the true blood pressure value corresponding to the pulse waveform (obtained by a third-party cuff blood pressure meter), during the machine learning process.
  • the disadvantage of this method is that it is necessary to accumulate dozens or even hundreds of real sampled blood pressure values to obtain a more accurate model.
  • the embodiments of the present application provide a method and apparatus for detecting a physiological state to at least solve the technical problem of a large amount of sampled blood pressure value data required to establish a model for calculating blood pressure from a pulse waveform feature in the prior art.
  • a method for detecting a physiological state includes: collecting a pulse wave of a user within a first preset time, wherein the pulse wave is performed by the user with a preset event Changing the resulting emotional change; measuring the blood pressure of the user at a plurality of characteristic moments to obtain a plurality of blood pressure values, wherein the characteristic time is a time for indicating the emotional intensity in the first preset time; And calculating, by the plurality of blood pressure values, a blood pressure value curve of the user in the first preset time; and correlating the blood pressure value curve with the pulse wave of the user according to a time axis.
  • acquiring the blood pressure value curve of the user in the first preset time according to the plurality of blood pressure values includes: estimating an emotional change of the user to obtain a target interpolation function; and using the plurality of blood pressure values Substituting the target interpolation function to obtain the blood pressure value curve.
  • associating the blood pressure value curve with the pulse wave of the user according to a time axis comprises: acquiring a waveform characteristic of a pulse wave of the user in the first preset time; acquiring the waveform Feature corresponding a target time; obtaining a blood pressure value at the target time from the blood pressure value curve; and correlating the waveform characteristic with a blood pressure value at the target time.
  • collecting the pulse wave of the user within the first preset time comprises: determining whether a fluctuation amplitude of the pulse feature represented by the pulse wave is within a preset value range; if the fluctuation amplitude of the pulse feature is not in the Within a predetermined range of values, the preset event performed by the user is adjusted until the fluctuation amplitude of the pulse feature is within the preset value range.
  • the pulse characteristic is any one of the following: wavelength, amplitude, main peak width.
  • the execution of the preset event includes any one of the following: listening to audio, watching video, breathing training, hypnosis, reading.
  • the preset event is a first audio and a second audio
  • the first audio is more intense than the second audio
  • the user's blood pressure is measured at a plurality of feature moments to obtain multiple
  • the method further includes: using a start time of the first duration as the first feature time, the first preset time including the first duration and the second duration, and the end time of the first duration is a start time of the second duration, the user listening to the first audio at the first duration, the user listening to the second audio at the second duration; ending an end time of the first duration
  • the second characteristic time; the end time of the second time length is used as the third characteristic time
  • measuring the blood pressure of the user at the plurality of characteristic times to obtain the plurality of blood pressure values includes: measuring the user at the first characteristic time The blood pressure obtains a first blood pressure value; the blood pressure of the user is measured at the second characteristic time to obtain a second blood pressure value; and the blood pressure of the user is measured at the third characteristic time to obtain a third blood pressure value; Blood pressure value The
  • an apparatus for detecting a physiological state comprising: an acquisition unit configured to collect a pulse wave of a user within a first preset time, wherein the pulse wave The user changes according to the emotional change caused by the preset event; the measuring unit is configured to measure the blood pressure of the user at a plurality of characteristic moments to obtain a plurality of blood pressure values, wherein the characteristic moment is the first pre- a time for indicating the intensity of the emotion; the obtaining unit is configured to acquire the blood pressure value curve of the user in the first preset time according to the plurality of blood pressure values; the association unit is set to follow the time The axis associates the blood pressure value curve with the pulse wave of the user.
  • the obtaining unit includes: an estimating subunit configured to estimate an emotional change acquisition target interpolation function of the user; and a calculating subunit configured to substitute the plurality of blood pressure values into the target interpolation Function to obtain the blood pressure value curve.
  • the association unit includes: a first acquisition subunit, configured to acquire a waveform feature of the pulse wave of the user in the first preset time; and a second acquisition subunit configured to acquire the location a target time corresponding to the waveform feature; a third acquisition subunit configured to acquire a blood pressure value of the target time from the blood pressure value curve; an associated subunit configured to set the waveform feature and the target time
  • the blood pressure values are correlated.
  • the collecting unit comprises: a determining subunit, configured to determine whether a fluctuation amplitude of the pulse characteristic represented by the pulse wave is within a preset value range; and an adjusting subunit configured to be if the pulse The fluctuation amplitude of the feature is not within the preset value range, and the preset event performed by the user is adjusted until the fluctuation amplitude of the pulse feature is within the preset value range.
  • the pulse characteristic is any one of the following: wavelength, amplitude, main peak width.
  • the execution of the preset event includes any one of the following: listening to audio, watching video, breathing training, hypnosis, reading.
  • the preset event is a first audio and a second audio
  • the first audio is more intense than the second audio
  • the device further includes: a first determining unit, configured to Taking the start time of the first duration as the first feature time, before the measurement unit measures the blood pressure of the user at a plurality of feature times to obtain a plurality of blood pressure values
  • the first preset time includes the first duration and a second duration, where the end time of the first duration is a start time of the second duration, the user listens to the first audio during the first duration, and the user listens to the second duration a second audio
  • a second determining unit configured to set an end time of the first duration as a second feature time
  • a third determining unit configured to set an end time of the second duration as a third feature time
  • the measuring unit includes: a first measuring subunit configured to measure a blood pressure of the user at the first characteristic time to obtain a first blood pressure value; and a second measuring subunit configured to be at the second characteristic time Measuring the said The
  • the user executes a preset event, and the user can roughly estimate the blood pressure change trend according to the specific content of the preset event, and select several characteristic moments to measure the user's blood pressure to obtain the sampled blood pressure value, and use the several samples.
  • the blood pressure value and the blood pressure change trend calculate the blood pressure value curve, and the blood pressure value curve is correlated with the measured pulse wave of the user. Since the blood pressure change trend of the user is estimated in advance, only a few sample blood pressure values are required.
  • FIG. 1 is a flow chart of a method of detecting a physiological state in accordance with an embodiment of the present application
  • FIG. 2 is a schematic diagram of three sampled blood pressure points in accordance with an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a curve obtained using a linear interpolation method according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of correlating a blood pressure value curve with a feature vector of a user's pulse wave according to a time axis according to an embodiment of the present application;
  • FIG. 5 is a schematic diagram of an apparatus for detecting a physiological state according to an embodiment of the present application.
  • an embodiment of a method of detecting a physiological state is provided, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system such as a set of computer executable instructions, and Although the logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.
  • FIG. 1 is a flow chart of a method of detecting a physiological state according to an embodiment of the present application. As shown in FIG. 1, the method includes the following steps:
  • Step S102 Collect a pulse wave of the user within a first preset time, wherein the pulse wave changes according to an emotional change caused by the user performing the preset event.
  • Step S104 measuring a blood pressure of the user at a plurality of characteristic moments to obtain a plurality of blood pressure values, wherein the characteristic time is a time for indicating the emotional intensity in the first preset time.
  • Step S106 Acquire a blood pressure value curve of the user in the first preset time according to the plurality of blood pressure values.
  • step S108 the blood pressure value curve is associated with the pulse wave of the user according to the time axis.
  • performing the preset event may include any one of the following: listening to audio, watching video, breathing training, hypnosis, reading.
  • the user's heart rate and tension are constantly changing, the emotion type or the emotional intensity changes, the pulse wave changes with the user's emotion, and the user's blood pressure also changes with the user's emotion.
  • the user executes a preset event, and the user can roughly estimate the blood pressure change trend according to the specific content of the preset event, and select several characteristic moments to measure the user's blood pressure to obtain the sampled blood pressure value, and use the several samples.
  • the blood pressure value and the blood pressure change trend calculate the blood pressure value curve, and the blood pressure value curve is correlated with the measured pulse wave of the user. Since the blood pressure change trend of the user is estimated in advance, only a few sample blood pressure values are required.
  • obtaining a blood pressure value curve of the user in the first preset time according to the plurality of blood pressure values includes: estimating an emotional change of the user to obtain a target interpolation function; and substituting the plurality of blood pressure values into the target interpolation function to obtain a blood pressure value curve.
  • the process of obtaining the target interpolation function needs to refer to the specific content of the preset event. For example, when the preset event is audio, the user's emotional change is estimated according to the intensity of the music over time.
  • a plurality of blood pressure values measured by a device for measuring blood pressure for example, a cuff sphygmomanometer
  • a device for measuring blood pressure for example, a cuff sphygmomanometer
  • the preset event is audio M1.
  • the audio M1 is divided into two sections. The first half is very intense, and the second half is very soothing. At this time, it can be estimated that the user has intense emotional intensity and high blood pressure when listening to the first half of the music; emotional intensity when listening to the latter half of the music. Will slowly weaken, the blood pressure will slowly decrease.
  • the preset event is video V1.
  • Video V1 is a horror film.
  • Video V1 can be divided into three parts. The first part has no fearful things, the second part has terrible things, and the third part has no fear. thing.
  • the blood pressure value curve is associated with the pulse wave of the user according to the time axis.
  • the process of associating the blood pressure value curve with the user's pulse wave according to the time axis is as follows: acquiring the waveform characteristics of the pulse wave of the user in the first preset time; acquiring the target time corresponding to the waveform feature; and acquiring the target time from the blood pressure value curve Blood pressure value; correlates the waveform characteristics with the blood pressure values at the target time.
  • the detector detects the waveform characteristics of the pulse wave of the user in the first preset time, and selects a plurality of times (target time) in the first preset time, and the pulse wave of each of the several moments
  • the waveform characteristics are correlated with the blood pressure values at that time.
  • the association relationship is stored, so that after the waveform feature is detected by the detector later, the blood pressure value associated with the waveform feature can be found.
  • a blood pressure monitor for example, a cuff type sphygmomanometer
  • the process of detecting the waveform characteristics of the pulse wave by using the detector to find the blood pressure value obtained by the correlation relationship is very simple and convenient, and improves the user experience.
  • the feature vector can represent the waveform characteristic of the pulse wave, and after obtaining the blood pressure value curve of the user in the first preset time, the blood pressure value curve is associated with the feature vector of the user's pulse wave according to the time axis.
  • the process of associating the blood pressure value curve with the feature vector of the user's pulse wave according to the time axis is as follows: acquiring the feature vector of the pulse wave of the user in the first preset time; acquiring the target time corresponding to the waveform feature; from the blood pressure value curve The blood pressure value at the target time is obtained; the feature vector is associated with the blood pressure value at the target time.
  • the process of associating the blood pressure value curve with the feature vector of the user's pulse wave according to the time axis is similar to the process of associating the blood pressure value curve with the user's pulse wave according to the time axis.
  • the data set ⁇ Xi, Yi ⁇ is obtained, wherein i is taken 1 to N, Xi represents the eigenvector of the i-th pulse wave, and Yi represents the blood pressure value corresponding to the i-th pulse wave.
  • the data set ⁇ Xi, Yi ⁇ is stored so that after the feature vector of the pulse wave is obtained, the blood pressure value associated with the feature vector can be found.
  • the pulse characteristic is any one of the following: wavelength, amplitude, main peak width.
  • the preset value range of the wavelength can be set to [0.6s, 1.2s].
  • the magnitude of the fluctuations in the pulse characteristics can indicate the emotional strength of the user.
  • the user performs a preset event if the user's emotional intensity is too large, such as being too nervous, fearful or excited, it is prone to danger.
  • the fluctuation of the pulse characteristics is large, it indicates that the emotional intensity of the user is very intense, and the user may be very nervous, afraid or excited, which is unsafe.
  • the embodiment of the present application pre-sets a reasonable range of values, that is, the above-mentioned preset value range.
  • the fluctuation amplitude of the pulse characteristic is within the preset value range, the fluctuation amplitude of the pulse characteristic is within a safe range. If the fluctuation amplitude of the pulse feature is not within the preset value range, the preset event performed by the user is adjusted until the fluctuation amplitude of the pulse feature is within a preset value range.
  • multiple levels of candidate audio or video can be set, with each level of candidate audio or video being less intense.
  • the user listens to an audio, if the fluctuation amplitude of the pulse feature is not within the preset value range, the user is provided with other audio that is slightly relieved, so that the fluctuation amplitude of the user's pulse feature is within a preset value range, and the user is guaranteed. Security.
  • the preset event performed by the user is adjusted until the fluctuation amplitude of the pulse feature is within a preset numerical range, thereby improving safety.
  • the preset event is the first audio and the second audio
  • the severity of the first audio is greater than the intensity of the second audio.
  • the method further includes: The start time of the first time duration is used as the first feature time, the first preset time includes a first time duration and a second time length, and the end time of the first time length is a start time of the second time length, and the user listens to the first audio at the first time duration
  • the second time user listens to the second audio; the end time of the first time length is used as the second feature time; and the end time of the second time length is used as the third characteristic time, and the blood pressure of the user is measured at a plurality of characteristic times to obtain a plurality of blood pressures.
  • the value includes: measuring the blood pressure of the user at the first characteristic time to obtain the first blood pressure value; measuring the blood pressure of the user at the second characteristic time to obtain the second blood pressure value; and measuring the blood pressure of the user at the third characteristic time to obtain the third blood pressure value;
  • Obtaining a blood pressure value curve of the user in the first preset time period includes: obtaining the user in the first preset time according to the first blood pressure value, the second blood pressure value, and the third blood pressure value Pressure value curve.
  • the method for detecting a physiological state needs to measure a user's blood pressure using a blood pressure meter or other blood pressure measuring device at three or more characteristic moments to obtain a plurality of blood pressure values. This process is called sampling, sampling.
  • sampling sampling.
  • the number of times is the number of feature moments. In general, the more the number of samplings, the closer the blood pressure value curve of the acquired user to the true blood pressure value curve in the first preset time.
  • Stage i. Setting the scene Set the safe pulse characteristics (such as wavelength, amplitude, main peak width, etc.) for the user, for example, set the wavelength interval to [0.6, 1.2] seconds, and set multiple levels of candidate audio and video. .
  • the safe pulse characteristics such as wavelength, amplitude, main peak width, etc.
  • Stage ii The user sits on the chair and adjusts to a comfortable posture, and the left hand wears a pulse sensor to acquire the pulse waveform.
  • Stage iii The right hand radial artery blood pressure is measured using a reference device (for example, a cuff type sphygmomanometer) to obtain a first blood pressure value, assuming that the first blood pressure value is 110 mmHg, as shown in FIG. 2, measured at the time point of the first measurement.
  • the obtained sampled blood pressure value was 110 mmHg.
  • Stage iv. Play a 5-minute preset audio and video for the user and analyze the pulse characteristics in real time. When the pulse characteristics exceed the safe range, switch to a more soothing audio and video; when the pulse characteristics fluctuate too small, switch to more intense Audio and video.
  • Stage v When the audio and video playback is completed, the right hand radial artery blood pressure is measured again using the reference device to obtain the second blood pressure value, and the second blood pressure value is assumed to be 150 mmHg, as shown in Fig. 2, measured at the time point of the second measurement.
  • the sampled blood pressure value is 150 mmHg.
  • Stage vi Play the most soothing audio and video for 3 minutes for the user while recording the pulse characteristics.
  • Stage vii When the audio and video playback is completed, the right hand blood pressure is measured for the third time using the reference device to obtain the third blood pressure value, assuming that the third blood pressure value is 105 mmHg, as shown in FIG. 2, at the time of the third measurement.
  • the measured blood pressure value measured was 105 mmHg.
  • Stage viii Using the measured three radial blood pressures (the first blood pressure value, the second blood pressure value, and the third blood pressure value) and the interpolation technique, the blood pressure value curve of the user in the first preset time is obtained.
  • the target interpolation function is set according to the content of the audio and video. For example, corresponding to the audio and video that gradually enters the climax, the linear interpolation function can be used to substitute the first blood pressure value, the second blood pressure value, and the third blood pressure value into a linear interpolation function to obtain the user.
  • the blood pressure value curve in the first preset time is as shown in FIG.
  • the blood pressure value curve is associated with the feature vector of the user's pulse wave according to the time axis, and the data set ⁇ Xi, Yi ⁇ is created, as shown in FIG.
  • i denotes the i-th pulse wave
  • Xi denotes the eigenvector of the i-th pulse wave
  • Yi denotes the blood pressure value corresponding to the i-th pulse wave
  • i takes 1 to N in turn
  • N is the blood pressure value curve and the user's pulse wave
  • N is the blood pressure value curve and the user's pulse wave
  • Stage ix A computational model of pulse waveform characteristics and blood pressure is established using machine learning methods and data sets ⁇ Xi, Yi ⁇ .
  • the wearing position of the pulse sensor and the reference device is not limited; the duration of the user performing the preset event (listening to audio, watching video, breathing training, hypnosis, reading, etc.) may be selected according to actual needs.
  • the method provided by the embodiment of the present application is not limited to blood pressure modeling, and may be other adjustable physiology. Modeling of states such as blood glucose.
  • an apparatus for detecting a physiological state may perform the above-described method of detecting a physiological state, and the method of detecting the physiological state may be performed by the apparatus for detecting a physiological state.
  • FIG. 5 is a schematic diagram of an apparatus for detecting a physiological state according to an embodiment of the present application. As shown in FIG. 5, the apparatus includes an acquisition unit 10, a measurement unit 20, an acquisition unit 30, and an association unit 40.
  • the collecting unit 10 is configured to collect a pulse wave of the user within a first preset time, wherein the pulse wave changes according to an emotional change caused by the user performing the preset event.
  • the measuring unit 20 is configured to measure the blood pressure of the user at a plurality of characteristic moments to obtain a plurality of blood pressure values, wherein the characteristic time is a time for indicating the emotional intensity in the first preset time.
  • the obtaining unit 30 is configured to acquire a blood pressure value curve of the user in the first preset time according to the plurality of blood pressure values.
  • the association unit 40 is arranged to associate the blood pressure value curve with the pulse wave of the user in accordance with the time axis.
  • the obtaining unit 30 includes an estimating subunit and a calculating subunit.
  • the prediction sub-unit is set to estimate the user's emotional change to obtain the target interpolation function.
  • the calculation subunit is set to substitute a plurality of blood pressure values into the target interpolation function to obtain a blood pressure value curve.
  • the association unit 40 includes a first acquisition subunit, a second acquisition subunit, a third acquisition subunit, and an associated subunit.
  • the first obtaining subunit is configured to acquire a waveform characteristic of the pulse wave of the user within the first preset time.
  • the second acquisition subunit is configured to acquire a target time corresponding to the waveform feature.
  • the third acquisition subunit is configured to acquire the blood pressure value at the target time from the blood pressure value curve.
  • the associated subunit is arranged to correlate the waveform features with the blood pressure values at the target time.
  • the acquisition unit 10 includes a determination subunit and a adjustment subunit.
  • the judging subunit is configured to determine whether the fluctuation amplitude of the pulse characteristic represented by the pulse wave is within a preset value range.
  • the adjustment subunit is configured to adjust the preset event performed by the user until the fluctuation amplitude of the pulse characteristic is within a preset value range if the fluctuation amplitude of the pulse characteristic is not within the preset value range.
  • the pulse characteristic is any one of the following: wavelength, amplitude, main peak width.
  • the execution of the preset event includes any one of the following: listening to audio, watching video, breathing training, hypnosis, reading.
  • the preset event is the first audio and the second audio
  • the severity of the first audio is greater than the intensity of the second audio
  • the device further includes a first determining unit, a second determining unit, and a third determining unit.
  • First determining unit The first preset time includes a first duration and a second duration, before the measurement unit 20 measures the blood pressure of the user to obtain a plurality of blood pressure values at a plurality of characteristic times.
  • the end time of the first duration is the start time of the second duration, the user listens to the first audio for the first duration and the second audio for the second duration.
  • the second determining unit is configured to set the end time of the first time length as the second feature time.
  • the third determining unit is configured to set the end time of the second duration as the third feature time.
  • the measuring unit 20 includes a first measuring subunit, a second measuring subunit, and a third measuring subunit.
  • the first measurement subunit is configured to measure the blood pressure of the user at the first characteristic time to obtain the first blood pressure value.
  • the second measurement subunit is configured to measure the blood pressure of the user at the second characteristic time to obtain the second blood pressure value.
  • the third measurement subunit is configured to measure the blood pressure of the user at the third characteristic time to obtain the third blood pressure value.
  • the acquisition unit 30 includes a fourth acquisition subunit.
  • the fourth acquisition subunit is configured to acquire a blood pressure value curve of the user for the first preset time according to the first blood pressure value, the second blood pressure value, and the third blood pressure value.
  • the disclosed technical contents may be implemented in other manners.
  • the device embodiments described above are only schematic.
  • the division of the unit may be a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, unit or module, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • a computer readable storage medium Including a number of instructions for causing a computer device (which may be a personal computer, server or network device, etc.) to perform various embodiments of the present application All or part of the steps of the method.
  • the foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

Abstract

一种检测生理状态的方法和装置，其中，该方法包括：采集用户在第一预设时间内的脉搏波（S102），其中，脉搏波随着用户执行预设事件所导致的情感变化而变化；在多个特征时刻测量用户的血压得到多个血压值（S104），其中，特征时刻为第一预设时间内用于表示情感强度的时刻；根据多个血压值获取用户在第一预设时间内的血压值曲线（S106）；按照时间轴将血压值曲线与用户的脉搏波进行关联（S108）。该方法解决了现有技术中建立由脉搏波形特征计算血压的模型需要的采样血压值数据量大的技术问题。

Description

检测生理状态的方法和装置 技术领域
本申请涉及检测领域，具体而言，涉及一种检测生理状态的方法和装置。
背景技术
研究表明，血压的变化会导致脉搏波形发生变化，因而血压可以依据脉搏波形的变化进行计算。人体的脉搏波可以通过压力传感器、血氧传感器、超声传感器、电磁场传感器等获得。由脉搏波形特征计算血压的模型一般通过机器学习方法获取。然而，脉搏波形还受到个体差异、测量习惯、心血管病变等干扰因素的影响而发生类似变化。现有技术需要在机器学习过程中加入样本标记，即脉搏波形对应的真实血压值(由第三方袖带式血压测量仪获得)。这种方法的不足在于，需要积累数十条甚至上百条真实的采样血压值数据后才能获得较为准确的模型。
针对上述的问题，目前尚未提出有效的解决方案。
发明内容
本申请实施例提供了一种检测生理状态的方法和装置，以至少解决现有技术中建立由脉搏波形特征计算血压的模型需要的采样血压值数据量大的技术问题。
根据本申请实施例的一个方面，提供了一种检测生理状态的方法，包括：采集用户在第一预设时间内的脉搏波，其中，所述脉搏波随着所述用户执行预设事件所导致的情感变化而变化；在多个特征时刻测量所述用户的血压得到多个血压值，其中，所述特征时刻为所述第一预设时间内用于表示情感强度的时刻；根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线；按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联。
可选地，根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线包括：预估所述用户的情感变化获取目标插值函数；将所述多个血压值代入所述目标插值函数，得到所述血压值曲线。
可选地，按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联包括：获取所述用户在所述第一预设时间内的脉搏波的波形特征；获取所述波形特征对应的 目标时刻；从所述血压值曲线中获取所述目标时刻的血压值；将所述波形特征与所述目标时刻的血压值进行关联。
可选地，采集用户在第一预设时间内的脉搏波包括：判断所述脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内；如果所述脉搏特征的波动幅度不在所述预设数值范围之内，调节所述用户执行的预设事件直至所述脉搏特征的波动幅度在所述预设数值范围之内。
可选地，所述脉搏特征为以下任意之一：波长、幅度、主峰宽度。
可选地，执行预设事件包括以下任意一个：听音频、看视频、呼吸训练、催眠、阅读。
可选地，所述预设事件为第一音频和第二音频，所述第一音频的激烈程度大于所述第二音频的激烈程度，在多个特征时刻测量所述用户的血压得到多个血压值之前，所述方法还包括：将第一时长的开始时刻作为第1特征时刻，所述第一预设时间包括所述第一时长和第二时长，所述第一时长的结束时刻为所述第二时长的开始时刻，在所述第一时长所述用户听所述第一音频，在所述第二时长所述用户听所述第二音频；将所述第一时长的结束时刻作为第2特征时刻；将所述第二时长的结束时刻作为第3特征时刻，在多个特征时刻测量所述用户的血压得到多个血压值包括：在所述第1特征时刻测量所述用户的血压得到第1血压值；在所述第2特征时刻测量所述用户的血压得到第2血压值；在所述第3特征时刻测量所述用户的血压得到第3血压值；根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线包括：根据所述第1血压值、所述第2血压值和所述第3血压值获取所述用户在所述第一预设时间内的血压值曲线。
根据本申请实施例的另一方面，还提供了一种检测生理状态的装置，包括：采集单元，被设置为采集用户在第一预设时间内的脉搏波，其中，所述脉搏波随着所述用户执行预设事件所导致的情感变化而变化；测量单元，被设置为在多个特征时刻测量所述用户的血压得到多个血压值，其中，所述特征时刻为所述第一预设时间内用于表示情感强度的时刻；获取单元，被设置为根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线；关联单元，被设置为按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联。
可选地，所述获取单元包括：预估子单元，被设置为预估所述用户的情感变化获取目标插值函数；计算子单元，被设置为将所述多个血压值代入所述目标插值函数，得到所述血压值曲线。
可选地，所述关联单元包括：第一获取子单元，被设置为获取所述用户在所述第一预设时间内的脉搏波的波形特征；第二获取子单元，被设置为获取所述波形特征对应的目标时刻；第三获取子单元，被设置为从所述血压值曲线中获取所述目标时刻的血压值；关联子单元，被设置为将所述波形特征与所述目标时刻的血压值进行关联。
可选地，所述采集单元包括：判断子单元，被设置为判断所述脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内；调节子单元，被设置为如果所述脉搏特征的波动幅度不在所述预设数值范围之内，调节所述用户执行的预设事件直至所述脉搏特征的波动幅度在所述预设数值范围之内。
可选地，所述脉搏特征为以下任意之一：波长、幅度、主峰宽度。
可选地，执行预设事件包括以下任意一个：听音频、看视频、呼吸训练、催眠、阅读。
可选地，所述预设事件为第一音频和第二音频，所述第一音频的激烈程度大于所述第二音频的激烈程度，所述装置还包括：第一确定单元，被设置为将第一时长的开始时刻作为第1特征时刻，在所述测量单元在多个特征时刻测量所述用户的血压得到多个血压值之前，所述第一预设时间包括所述第一时长和第二时长，所述第一时长的结束时刻为所述第二时长的开始时刻，在所述第一时长所述用户听所述第一音频，在所述第二时长所述用户听所述第二音频；第二确定单元，被设置为将所述第一时长的结束时刻作为第2特征时刻；第三确定单元，被设置为将所述第二时长的结束时刻作为第3特征时刻，所述测量单元包括：第一测量子单元，被设置为在所述第1特征时刻测量所述用户的血压得到第1血压值；第二测量子单元，被设置为在所述第2特征时刻测量所述用户的血压得到第2血压值；第三测量子单元，被设置为在所述第3特征时刻测量所述用户的血压得到第3血压值，所述获取单元包括：第四获取子单元，被设置为根据所述第1血压值、所述第2血压值和所述第3血压值获取所述用户在所述第一预设时间内的血压值曲线。
在本申请实施例中，用户执行预设事件，根据预设事件的具体内容能够大致预估到用户的血压变化趋势，选择几个特征时刻测量用户的血压得到采样血压值，利用这几个采样血压值和血压变化趋势计算出血压值曲线，将血压值曲线与测量得到的用户的脉搏波进行关联，由于提前预估到用户的血压变化趋势，因此，只需要很少的几个采样血压值即能够建立准确的模型，达到了建立由脉搏波形特征计算血压的模型需要的采样血压值数据量小的技术效果，进而解决了现有技术中建立由脉搏波形特征计算血压的模型需要的采样血压值数据量大的技术问题。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1是根据本申请实施例的检测生理状态的方法的流程图；
图2是根据本申请实施例的3个采样血压点的示意图；
图3是根据本申请实施例的使用线性插值方法得到的曲线的示意图；
图4是根据本申请实施例的按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联的示意图；
图5是根据本申请实施例的检测生理状态的装置的示意图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本申请保护的范围。
需要说明的是，本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
根据本申请实施例，提供了一种检测生理状态的方法的实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图1是根据本申请实施例的检测生理状态的方法的流程图，如图1所示，该方法包括如下步骤：
步骤S102，采集用户在第一预设时间内的脉搏波，其中，脉搏波随着用户执行预设事件所导致的情感变化而变化。
步骤S104，在多个特征时刻测量用户的血压得到多个血压值，其中，特征时刻为第一预设时间内用于表示情感强度的时刻。
步骤S106，根据多个血压值获取用户在第一预设时间内的血压值曲线。
步骤S108，按照时间轴将血压值曲线与用户的脉搏波进行关联。
可选地，执行预设事件可以包括以下任意一个：听音频、看视频、呼吸训练、催眠、阅读。
当用户执行预设事件时，用户的心率、紧张程度不断变化，情感类型或者情感强度发生变化，脉搏波随着用户情感变化而变化，用户的血压也随着用户情感变化而变化。
在本申请实施例中，用户执行预设事件，根据预设事件的具体内容能够大致预估到用户的血压变化趋势，选择几个特征时刻测量用户的血压得到采样血压值，利用这几个采样血压值和血压变化趋势计算出血压值曲线，将血压值曲线与测量得到的用户的脉搏波进行关联，由于提前预估到用户的血压变化趋势，因此，只需要很少的几个采样血压值即能够建立准确的模型，解决了现有技术中建立由脉搏波形特征计算血压的模型需要的采样血压值数据量大的技术问题，达到了建立由脉搏波形特征计算血压的模型需要的采样血压值数据量小的技术效果。
可选地，根据多个血压值获取用户在第一预设时间内的血压值曲线包括：预估用户的情感变化获取目标插值函数；将多个血压值代入目标插值函数，得到血压值曲线。
预估用户的情感变化获取目标插值函数的过程需要参考预设事件的具体内容。例如，当预设事件是音频时，根据音乐的激烈程度随时间的变化预估用户的情感变化。获取目标插值函数后，将使用测量血压的设备(例如，袖带式血压计)测量出的多个血压值代入目标插值函数，得到用户在第一预设时间内的血压值曲线。
例如，预设事件是音频M1。音频M1一共分成两段，前半段很激烈，而后半段很舒缓，这时可以预估用户在听音乐的前半段时情感强度较激烈，血压值较高；在听后半段音乐时情感强度会慢慢减弱，血压值会慢慢降低。
再例如，预设事件是视频V1。视频V1是一个恐怖片的片段，视频V1一共可分为三个部分，第一部分未出现令人恐惧的事物，第二部分出现了令人非常恐惧的事物，第三部分未出现令人恐惧的事物。这时，可以预估用户在看视频的第一部分时情感强 度较弱，血压值较低；在看视频的第二部分时情感强度增强，血压值较高；在看视频的第二部分时情感强度慢慢减弱，血压值会慢慢降低。
在根据插值方法得到用户在第一预设时间内的血压值曲线之后，按照时间轴将血压值曲线与用户的脉搏波进行关联。
按照时间轴将血压值曲线与用户的脉搏波进行关联的过程如下：获取用户在第一预设时间内的脉搏波的波形特征；获取波形特征对应的目标时刻；从血压值曲线中获取目标时刻的血压值；将波形特征与目标时刻的血压值进行关联。
使用探测器探测出用户在第一预设时间内的脉搏波的波形特征，在第一预设时间内挑选出若干个时刻(目标时刻)，将这若干个时刻中每个时刻的脉搏波的波形特征与该时刻的血压值进行关联。将脉搏波的波形特征与该时刻的血压值进行关联之后，将关联关系进行存储，这样，在以后使用探测器探测出波形特征之后，即可查找到该波形特征关联的血压值。现有技术中使用血压计(例如袖带式血压计)为用户测量血压，操作繁琐，步骤复杂。本申请实施例使用探测器探测脉搏波的波形特征，进而查找关联关系得到的血压值的过程非常简单方便，提升了用户体验。
特征向量能够表示出脉搏波的波形特征，在得到用户在第一预设时间内的血压值曲线之后，按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联。
按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联的过程如下：获取用户在第一预设时间内的脉搏波的特征向量；获取波形特征对应的目标时刻；从血压值曲线中获取目标时刻的血压值；将特征向量与目标时刻的血压值进行关联。
按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联的过程与按照时间轴将血压值曲线与用户的脉搏波进行关联的过程是类似的。例如，在第一预设时间内选取N个目标时刻，按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联之后，得到数据集{Xi，Yi}，其中，i依次取1至N，Xi表示第i个脉搏波的特征向量，Yi表示第i个脉搏波对应的血压值。将数据集{Xi，Yi}进行存储，这样，在得到脉搏波的特征向量之后，即可查找到该特征向量关联的血压值。通过使用脉搏波的特征向量表示脉搏波的波形特征，在使用探测器探测用户的脉搏之后，只需要根据脉搏波的特征向量即可查找到特征向量关联的血压值，进一步简化了本申请实施例检测血压的过程。
可选地，在采集用户在第一预设时间内的脉搏波时，判断脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内；如果脉搏特征的波动幅度不在预设数值范围之内，调节用户执行的预设事件直至脉搏特征的波动幅度在预设数值范围之内。可选 地，脉搏特征为以下任意之一：波长、幅度、主峰宽度。可以将波长的预设数值范围设置为[0.6s，1.2s]。
脉搏特征的波动幅度能够表明用户的情感强度。当用户执行预设事件的过程中，如果用户的情感强度太大，例如过于紧张、恐惧或者兴奋，则容易发生危险。当脉搏特征的波动幅度很大时，表明用户的情感强度很激烈，用户可能非常紧张、恐惧或者兴奋，这样是不安全的。本申请实施例预先设定了一个合理的数值范围，即上述预设数值范围。在采集用户在第一预设时间内的脉搏波时，判断脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内。如果脉搏特征的波动幅度在预设数值范围之内，说明脉搏特征的波动幅度在一个安全的范围内。如果脉搏特征的波动幅度不在预设数值范围之内，调节用户执行的预设事件直至脉搏特征的波动幅度在预设数值范围之内。
例如，可以设定多个级别的候选音频或视频，每个级别的候选音频或视频的激烈程度不同。当用户听某个音频时，如果脉搏特征的波动幅度不在预设数值范围之内，则向用户提供稍微舒缓的其他音频，使得用户的脉搏特征的波动幅度在预设数值范围之内，保证用户的安全性。在本申请实施例中，当用户的脉搏特征的波动幅度不在预设数值范围之内，调节用户执行的预设事件直至脉搏特征的波动幅度在预设数值范围之内，提高了安全性。
可选地，预设事件为第一音频和第二音频，第一音频的激烈程度大于第二音频的激烈程度，在多个特征时刻测量用户的血压得到多个血压值之前，方法还包括：将第一时长的开始时刻作为第1特征时刻，第一预设时间包括第一时长和第二时长，第一时长的结束时刻为第二时长的开始时刻，在第一时长用户听第一音频，在第二时长用户听第二音频；将第一时长的结束时刻作为第2特征时刻；将第二时长的结束时刻作为第3特征时刻，在多个特征时刻测量用户的血压得到多个血压值包括：在第1特征时刻测量用户的血压得到第1血压值；在第2特征时刻测量用户的血压得到第2血压值；在第3特征时刻测量用户的血压得到第3血压值；根据多个血压值获取用户在第一预设时间内的血压值曲线包括：根据第1血压值、第2血压值和第3血压值获取用户在第一预设时间内的血压值曲线。
本申请实施例所提供的检测生理状态的方法需要在3个或3个以上的特征时刻使用血压仪或其他测量血压的设备测量用户的血压得到多个血压值，这个过程称为采样，采样的次数即为特征时刻的个数。一般来说，采样的次数越多，获取的用户在第一预设时间内的血压值曲线就越接近真实的血压值曲线。
下面以3次采样为例，对本申请实施例所提供的检测生理状态的方法进行详细说明。阶段i.至阶段viii.示出了过程。
阶段i.设定场景：为用户设定安全的脉搏特征(如波长、幅度、主峰宽度等)范围，例如设定波长区间为[0.6,1.2]秒，并设定多个级别的候选音视频。
阶段ii.用户坐于靠椅上，调整到舒适姿态，左手佩戴脉搏传感器采集脉搏波形。
阶段iii.使用参照设备(例如，袖带式血压计)测量右手肱动脉血压，得到第1血压值，假设第1血压值为110mmHg，如图2所示，在第1次测量的时间点测量得到的采样血压值为110mmHg。
阶段iv.为用户播放5分钟的预设音视频，并实时分析脉搏特征，当脉搏特征超出安全范围时，切换到更为舒缓的音视频；当脉搏特征波动幅度太小时，切换到更为激烈的音视频。
阶段v.当音视频播放完毕时，再次使用参照设备测量右手肱动脉血压，得到第2血压值，假设第2血压值为150mmHg，如图2所示，在第2次测量的时间点测量得到的采样血压值为150mmHg。
阶段vi.为用户播放3分钟最为舒缓的音视频，同时记录脉搏特征。
阶段vii.当音视频播放完毕时，第三次使用参照设备测量右手肱动脉血压，得到第3血压值，假设第3血压值为105mmHg，如图2所示，在第3次测量的时间点测量得到的采样血压值为105mmHg。
阶段viii.使用所测量的3个肱动脉血压(第1血压值、第2血压值和第3血压值)和插值技术得出用户在第一预设时间内的血压值曲线。根据音视频的内容设定目标插值函数，例如，对应逐渐进入高潮的音视频，可以采用线性插值函数，将第1血压值、第2血压值和第3血压值代入线性插值函数，得到用户在第一预设时间内的血压值曲线，如图3所示。按照时间轴将血压值曲线与用户的脉搏波的特征向量进行关联，建立数据集{Xi,Yi}，如图4所示。其中i表示第i个脉搏波，Xi表示第i个脉搏波的特征向量，Yi表示第i个脉搏波对应的血压值，i依次取1至N，N为将血压值曲线与用户的脉搏波的特征向量进行关联的过程中选取的目标时刻的个数，N可以根据实际需要进行取值。
阶段ix.使用机器学习方法和数据集{Xi,Yi}建立脉搏波形特征和血压的计算模型。
需要注意的是，在本申请实施例中，脉搏传感器和参照设备的佩带位置不限定；用户执行预设事件(听音频、看视频、呼吸训练、催眠、阅读等)的时长可以根据实际需要选择；本申请实施例提供的方法不限于血压建模，还可以是其他可调节的生理 状态(例如血糖)的建模。
根据本申请实施例，还提供了一种检测生理状态的装置。该检测生理状态的装置可以执行上述检测生理状态的方法，上述检测生理状态的方法也可以通过该检测生理状态的装置实施。
图5是根据本申请实施例的检测生理状态的装置的示意图。如图5所示，该装置包括采集单元10、测量单元20、获取单元30和关联单元40。
采集单元10，被设置为采集用户在第一预设时间内的脉搏波，其中，脉搏波随着用户执行预设事件所导致的情感变化而变化。
测量单元20，被设置为在多个特征时刻测量用户的血压得到多个血压值，其中，特征时刻为第一预设时间内用于表示情感强度的时刻。
获取单元30，被设置为根据多个血压值获取用户在第一预设时间内的血压值曲线。
关联单元40，被设置为按照时间轴将血压值曲线与用户的脉搏波进行关联。
可选地，获取单元30包括预估子单元和计算子单元。预估子单元，被设置为预估用户的情感变化获取目标插值函数。计算子单元，被设置为将多个血压值代入目标插值函数，得到血压值曲线。
可选地，关联单元40包括第一获取子单元、第二获取子单元、第三获取子单元和关联子单元。第一获取子单元，被设置为获取用户在第一预设时间内的脉搏波的波形特征。第二获取子单元，被设置为获取波形特征对应的目标时刻。第三获取子单元，被设置为从血压值曲线中获取目标时刻的血压值。关联子单元，被设置为将波形特征与目标时刻的血压值进行关联。
可选地，采集单元10包括判断子单元和调节子单元。判断子单元，被设置为判断脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内。调节子单元，被设置为如果脉搏特征的波动幅度不在预设数值范围之内，调节用户执行的预设事件直至脉搏特征的波动幅度在预设数值范围之内。
可选地，脉搏特征为以下任意之一：波长、幅度、主峰宽度。
可选地，执行预设事件包括以下任意一个：听音频、看视频、呼吸训练、催眠、阅读。
可选地，预设事件为第一音频和第二音频，第一音频的激烈程度大于第二音频的激烈程度，装置还包括第一确定单元、第二确定单元和第三确定单元。第一确定单元， 被设置为将第一时长的开始时刻作为第1特征时刻，在测量单元20在多个特征时刻测量用户的血压得到多个血压值之前，第一预设时间包括第一时长和第二时长，第一时长的结束时刻为第二时长的开始时刻，在第一时长用户听第一音频，在第二时长用户听第二音频。第二确定单元，被设置为将第一时长的结束时刻作为第2特征时刻。第三确定单元，被设置为将第二时长的结束时刻作为第3特征时刻。
测量单元20包括第一测量子单元、第二测量子单元和第三测量子单元。第一测量子单元，被设置为在第1特征时刻测量用户的血压得到第1血压值。第二测量子单元，被设置为在第2特征时刻测量用户的血压得到第2血压值。第三测量子单元，被设置为在第3特征时刻测量用户的血压得到第3血压值。
获取单元30包括第四获取子单元。第四获取子单元，被设置为根据第1血压值、第2血压值和第3血压值获取用户在第一预设时间内的血压值曲线。
在本申请的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例所 述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅是本申请的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本申请的保护范围。

Claims (14)

  1. 一种检测生理状态的方法，包括：
    采集用户在第一预设时间内的脉搏波，其中，所述脉搏波随着所述用户执行预设事件所导致的情感变化而变化；
    在多个特征时刻测量所述用户的血压得到多个血压值，其中，所述特征时刻为所述第一预设时间内用于表示情感强度的时刻；
    根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线；
    按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联。
  2. 根据权利要求1所述的方法，其中，根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线包括：
    预估所述用户的情感变化获取目标插值函数；
    将所述多个血压值代入所述目标插值函数，得到所述血压值曲线。
  3. 根据权利要求1所述的方法，其中，按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联包括：
    获取所述用户在所述第一预设时间内的脉搏波的波形特征；
    获取所述波形特征对应的目标时刻；
    从所述血压值曲线中获取所述目标时刻的血压值；
    将所述波形特征与所述目标时刻的血压值进行关联。
  4. 根据权利要求1所述的方法，其中，采集用户在第一预设时间内的脉搏波包括：
    判断所述脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内；
    如果所述脉搏特征的波动幅度不在所述预设数值范围之内，调节所述用户执行的预设事件直至所述脉搏特征的波动幅度在所述预设数值范围之内。
  5. 根据权利要求4所述的方法，其中，所述脉搏特征为以下任意之一：波长、幅度、主峰宽度。
  6. 根据权利要求1所述的方法，其中，执行预设事件包括以下任意一个：
    听音频、看视频、呼吸训练、催眠、阅读。
  7. 根据权利要求1所述的方法，其中，所述预设事件为第一音频和第二音频，所述第一音频的激烈程度大于所述第二音频的激烈程度，在多个特征时刻测量所述用户的血压得到多个血压值之前，所述方法还包括：
    将第一时长的开始时刻作为第1特征时刻，所述第一预设时间包括所述第一时长和第二时长，所述第一时长的结束时刻为所述第二时长的开始时刻，在所述第一时长所述用户听所述第一音频，在所述第二时长所述用户听所述第二音频；
    将所述第一时长的结束时刻作为第2特征时刻；
    将所述第二时长的结束时刻作为第3特征时刻，
    在多个特征时刻测量所述用户的血压得到多个血压值包括：
    在所述第1特征时刻测量所述用户的血压得到第1血压值；
    在所述第2特征时刻测量所述用户的血压得到第2血压值；
    在所述第3特征时刻测量所述用户的血压得到第3血压值；
    根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线包括：
    根据所述第1血压值、所述第2血压值和所述第3血压值获取所述用户在所述第一预设时间内的血压值曲线。
  8. 一种检测生理状态的装置，包括：
    采集单元，被设置为采集用户在第一预设时间内的脉搏波，其中，所述脉搏波随着所述用户执行预设事件所导致的情感变化而变化；
    测量单元，被设置为在多个特征时刻测量所述用户的血压得到多个血压值，其中，所述特征时刻为所述第一预设时间内用于表示情感强度的时刻；
    获取单元，被设置为根据所述多个血压值获取所述用户在所述第一预设时间内的血压值曲线；
    关联单元，被设置为按照时间轴将所述血压值曲线与所述用户的所述脉搏波进行关联。
  9. 根据权利要求8所述的装置，其中，所述获取单元包括：
    预估子单元，被设置为预估所述用户的情感变化获取目标插值函数；
    计算子单元，被设置为将所述多个血压值代入所述目标插值函数，得到所述血压值曲线。
  10. 根据权利要求8所述的装置，其中，所述关联单元包括：
    第一获取子单元，被设置为获取所述用户在所述第一预设时间内的脉搏波的波形特征；
    第二获取子单元，被设置为获取所述波形特征对应的目标时刻；
    第三获取子单元，被设置为从所述血压值曲线中获取所述目标时刻的血压值；
    关联子单元，被设置为将所述波形特征与所述目标时刻的血压值进行关联。
  11. 根据权利要求8所述的装置，其中，所述采集单元包括：
    判断子单元，被设置为判断所述脉搏波所表示的脉搏特征的波动幅度是否在预设数值范围之内；
    调节子单元，被设置为如果所述脉搏特征的波动幅度不在所述预设数值范围之内，调节所述用户执行的预设事件直至所述脉搏特征的波动幅度在所述预设数值范围之内。
  12. 根据权利要求11所述的装置，其中，所述脉搏特征为以下任意之一：波长、幅度、主峰宽度。
  13. 根据权利要求8所述的装置，其中，执行预设事件包括以下任意一个：
    听音频、看视频、呼吸训练、催眠、阅读。
  14. 根据权利要求8所述的装置，其中，所述预设事件为第一音频和第二音频，所述第一音频的激烈程度大于所述第二音频的激烈程度，所述装置还包括：
    第一确定单元，被设置为将第一时长的开始时刻作为第1特征时刻，在所述测量单元在多个特征时刻测量所述用户的血压得到多个血压值之前，所述第一预设时间包括所述第一时长和第二时长，所述第一时长的结束时刻为所述第二时长的开始时刻，在所述第一时长所述用户听所述第一音频，在所述第二时长所述用户听所述第二音频；
    第二确定单元，被设置为将所述第一时长的结束时刻作为第2特征时刻；
    第三确定单元，被设置为将所述第二时长的结束时刻作为第3特征时刻，
    所述测量单元包括：
    第一测量子单元，被设置为在所述第1特征时刻测量所述用户的血压得到第1血压值；
    第二测量子单元，被设置为在所述第2特征时刻测量所述用户的血压得到第2血压值；
    第三测量子单元，被设置为在所述第3特征时刻测量所述用户的血压得到第3血压值，
    所述获取单元包括：
    第四获取子单元，被设置为根据所述第1血压值、所述第2血压值和所述第3血压值获取所述用户在所述第一预设时间内的血压值曲线。
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