CN117643457A - Signal quality evaluation method, wearable device and device - Google Patents
Signal quality evaluation method, wearable device and device Download PDFInfo
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Abstract
The embodiment of the application discloses a signal quality evaluation method and wearable equipment. The method comprises the following steps: the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated; based on the air bag pressure signal, a pulse wave signal is obtained; based on the pulse wave signals, obtaining quality evaluation parameters corresponding to the pulse wave signals; and obtaining a quality evaluation result of the pulse wave signal based on the quality evaluation parameter and a threshold corresponding to the quality evaluation parameter. By adopting the method, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for the follow-up blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a signal quality evaluation method, a wearable device, and an apparatus.
Background
Blood pressure measurement is one of the important indicators for assessing cardiovascular health in humans. Moreover, with the continuous development of wearable devices, wearable devices for measuring blood pressure are also increasingly portable, such as smart watches. In a related manner, the smart watch may be provided with an air bag, but because the air bag of the smart watch does not fully cover the limb in an annular direction, and the width of the air bag is only the width of a general watchband, the compression to the artery is not the blocking compression, so that the problem of inaccurate blood pressure measurement may occur.
Disclosure of Invention
In view of the above problems, the present application proposes a signal quality evaluation method, a wearable device, and an apparatus, so as to achieve improvement of the above problems.
In a first aspect, the present application provides a signal quality evaluation method applied to a wearable device, where the wearable device is worn on a wrist of a user, and the wearable device includes a micro control unit, an air pump, an air bag, and a static pressure acquisition module, and the method includes: the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated; based on the air bag pressure signal, a pulse wave signal is obtained, and the pulse wave signal is used for measuring the blood pressure of a tested object; based on the pulse wave signals, obtaining quality evaluation parameters corresponding to the pulse wave signals; and obtaining a quality evaluation result of the pulse wave signal based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter, wherein the quality evaluation result is used for representing whether a tested object of the pulse wave signal is a target object or not.
In a second aspect, the present application provides a signal quality evaluation wearable device, the wearable device is worn on a wrist of a user, and the wearable device includes a micro control unit, an air pump, an air bag, and a static pressure acquisition module; the micro control unit is used for executing the method.
In a third aspect, the present application provides a computer readable storage medium having program code stored therein, wherein the method described above is performed when the program code is run.
According to the signal quality evaluation method and the wearable device, after the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire air bag pressure signals when the air bag is inflated, pulse wave signals for measuring blood pressure of a tested object are obtained based on the air bag pressure signals, and quality evaluation parameters corresponding to the pulse wave signals are obtained based on the pulse wave signals; and obtaining a quality evaluation result of the pulse wave signal, which is used for representing whether the tested object of the pulse wave signal is a target object or not, based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter. By adopting the method, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for the follow-up blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a signal quality evaluation method according to an embodiment of the present application;
FIG. 2 shows a schematic representation of an air bag pressure signal as proposed herein;
FIG. 3 is a schematic diagram showing a filtering result of the low-pass filtering of the air bag pressure signal;
FIG. 4 shows a schematic diagram of an implementation method proposed by S130 in FIG. 1 of the present application;
FIG. 5 shows a schematic representation of a first amplitude component and a second amplitude component as proposed herein;
FIG. 6 shows a schematic diagram of another implementation method proposed by S130 in FIG. 1 of the present application;
FIG. 7 is a schematic diagram of a method for obtaining a first quality assessment parameter according to the present application;
FIG. 8 is a schematic diagram of a method for obtaining a second quality assessment parameter according to the present application;
FIG. 9 is a schematic diagram of a third quality assessment parameter;
fig. 10 is a flowchart of a signal quality evaluation method according to another embodiment of the present application;
FIG. 11 is a schematic diagram showing a pulse wave signal with a qualified signal of the signal quality type;
FIG. 12 is a schematic diagram showing a pulse wave signal with a signal quality type of fail signal according to the present application;
fig. 13 is a flowchart of a signal quality evaluation method according to another embodiment of the present application;
FIG. 14 is a schematic diagram of an implementation method proposed by S350 in FIG. 13 of the present application;
FIG. 15 shows a schematic of one of the maxima and minima presented herein;
fig. 16 is a schematic diagram showing a method for determining whether a pulse wave signal reaches a specified condition;
FIG. 17 is a schematic diagram of a business process set forth in the present application;
fig. 18 shows a block diagram of a wearable device proposed in the present application;
fig. 19 is a memory unit for storing or carrying program codes for implementing the signal quality evaluation method according to the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
With the progress of the living standard of people, more and more people begin to pay attention to the cardiovascular health condition of themselves, and blood pressure measurement is one of important indexes for evaluating the cardiovascular health condition of people. Meanwhile, with the continuous development of wearable devices, wearable devices for measuring blood pressure are also more and more portable, such as smart watches. In a related manner, the smart watch may be provided with an air bag to make blood pressure measurements through the smart watch.
The inventor finds in related researches that the air bag of the intelligent watch does not fully cover the limb in the circumferential direction, and the width of the air bag is only the width of a common watchband, so that the related mode also has the problem of inaccurate blood pressure measurement.
Therefore, the inventor proposes a signal quality evaluation method and wearable equipment, after the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated, a pulse wave signal for measuring the blood pressure of a tested object is obtained based on the air bag pressure signal, and a quality evaluation parameter corresponding to the pulse wave signal is obtained based on the pulse wave signal; and obtaining a quality evaluation result of the pulse wave signal, which is used for representing whether the tested object of the pulse wave signal is a target object or not, based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter. By adopting the method, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for the follow-up blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved.
Referring to fig. 1, the signal quality evaluation method provided in the embodiment of the present application is applied to a wearable device, where the wearable device is worn on a wrist of a user, and the wearable device includes a micro control unit, an air pump, an air bag, and a static pressure acquisition module, and the method includes:
s110: the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated.
The wearable device may be a smart watch, a sports bracelet, or the like for measuring blood pressure of a user. The micro control unit may be MCU (Microcontroller Unit). The static pressure acquisition module may refer to one device or a combination of multiple devices for acquiring pulse wave signals, and in the embodiment of the present application, the static pressure acquisition module may include a pressure sensor, a low-pass filter, a digital or analog subtractor, a digital feature extractor, and the like, where the pressure sensor may be a piezoelectric sensor, a capacitive sensor, an electromagnetic sensor, and the like; the low-pass filter can be an RC low-pass filter, an RLC low-pass filter, a median filter and the like; a digital or analog subtracter can be used to convert the original data into binary data and then to perform subtraction; a digital feature extractor may be used to extract features in binary form from the raw data. The air bag pressure signal can represent the pressure change condition of the wrist of the tested object in the air bag inflation process. For example, the air bag pressure signal may be as shown in FIG. 2.
As one way, the micro-control unit may control the air pump to inflate the air bag in response to receiving the blood pressure measurement request, and control the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated.
Alternatively, the micro-control unit may control the air pump to inflate the air bag with a constant ventilation. The air pump may be a piezoelectric ceramic pump.
Wherein, the constant ventilation can refer to ventilation in which the error between the maximum ventilation corresponding to each of two adjacent seconds does not exceed a preset error. The preset error may be a preset ratio or a preset difference.The preset ratio may be, for exampleWherein, the ventilation 1 and the ventilation 2 may be the maximum ventilation of t0 seconds and the maximum ventilation of (t0+1) seconds, respectively. The preset difference value can be +.>。
Since the air pump can inflate the air bag with a constant ventilation amount, the total ventilation amount per minute can be within a certain range, and the fluctuation range of the total ventilation amount can be 50ml-200ml.
In this application embodiment, the air pump is inflated to the gasbag with invariable ventilation volume, can make the inflation process steady to obtain more accurate pulse wave signal.
Alternatively, the static pressure acquisition module may acquire the airbag pressure signal when the airbag is inflated at a sampling frequency of 200 Hz.
Alternatively, the micro-control unit may periodically control the air pump to inflate the air bag, and control the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated.
S120: based on the air bag pressure signal, a pulse wave signal is obtained, and the pulse wave signal is used for measuring the blood pressure of the tested object.
As one way, the air bag pressure signal may be low-pass filtered to obtain a filtered low-frequency signal and a low-pass filtered air bag pressure signal, where the low-pass filtered air bag pressure signal is used as the pulse wave signal, and the filtered low-frequency signal is used as the static pressure signal.
Alternatively, a median filter may be used to low pass filter the air bag pressure signal, and the result of the filtering may be as shown in fig. 3.
Optionally, in the median filtering process, a plurality of data points in a sliding time window in the air bag pressure signal can be acquired according to a preset sampling frequency, a static pressure signal is obtained based on the median of the plurality of data points in the sliding time window, and the air bag pressure signal after low-pass filtering is used as a pulse wave signal.
In the embodiment of the application, the static pressure signal and the pulse wave signal in the air bag pressure signal can be separated by carrying out low-pass filtering on the air bag pressure signal so as to obtain the quality evaluation parameter corresponding to the pulse wave signal based on the pulse wave signal and the static pressure signal.
S130: and obtaining quality evaluation parameters corresponding to the pulse wave signals based on the pulse wave signals.
As one mode, the quality evaluation parameter corresponding to the pulse wave signal may be obtained based on the pulse wave signal and the static pressure signal.
Optionally, the pulse wave signal may be subjected to a fast fourier transform to obtain a frequency domain feature of the pulse wave signal; and obtaining quality evaluation parameters based on the frequency domain characteristics of the frequency domain pulse wave signals and the static pressure signals.
Wherein the pulse wave signal may comprise a pulse wave signal over a first period of time, and the quality assessment parameters may comprise a first quality assessment parameter, a second quality assessment parameter, and a third quality assessment parameter.
Optionally, as shown in fig. 4, performing fast fourier transform on the pulse wave signal to obtain a frequency domain feature of the pulse wave signal, including:
s131: and performing fast Fourier transform on the pulse wave signals in the first time period to obtain frequency domain pulse wave signals in the first time period.
Among other things, fast fourier transform (Fast Fourier Transform, FFT) may refer to an efficient, fast method of computing discrete fourier transform (Discrete Fourier Transform, DFT). Fourier transforms may be used to perform time-domain-frequency domain transform analysis.
As one way, the pulse wave signal in the first period may be subjected to a fast fourier transform, resulting in a frequency domain pulse wave signal in the first period.
Alternatively, the first time period may be obtained based on a plurality of trials, and exemplary, the first time period may be 10 seconds. Alternatively, in embodiments of the present application. In addition to obtaining the frequency domain pulse wave signal in the first period through fast fourier transform, the frequency domain pulse wave signal in the first period can be obtained based on discrete cosine transform, wavelet transform, hilbert yellow transform and other methods.
S132: and acquiring the main frequency of the frequency domain pulse wave signal in the first time period and a first amplitude corresponding to the main frequency, wherein the main frequency represents the heart rate of the tested object, and the first amplitude represents the maximum value of the heart vibration energy of the tested object in the first time period.
As one way, the main frequency may be determined based on the type of the object under test, and after the main frequency is obtained, a first amplitude corresponding to the main frequency may be obtained based on the main frequency and the frequency domain pulse wave signal in the first period of time.
Wherein the subject may refer to a user, i.e. a person, the heart rate of the person may be 1.4Hz.
Alternatively, the calculation formula of the first amplitude may be as follows:
wherein,the pulse wave signal over a first period of time may be represented, and (2)>May represent the frequency domain pulse wave signals at 0 th to 10 th seconds of the frequency domain pulse wave signals within the first time period,can represent the frequency of the frequency domain pulse wave signal from 0 th second to 10 th secondThe maximum value of the amplitude of the frequency domain pulse wave signal.
S133: and acquiring a plurality of first amplitude components and a plurality of second amplitude components of the frequency domain pulse wave signals in the first time period, wherein the first amplitude components are amplitude components corresponding to the main frequency, and the second amplitude components are amplitude components corresponding to frequency multiplication.
Wherein, the frequency domain pulse wave signal may include a plurality of sampling points. The frequency multiplication may be 2 times the primary frequency. For example, when the primary frequency is 1.4Hz, the doubling may be 2.8Hz.
As one approach, the first time period may be divided into a plurality of consecutive second time periods based on a fixed time interval, which may be derived based on the primary frequency; based on the number of sampling points and the main frequency in the frequency domain pulse wave signal corresponding to each second time period, obtaining first amplitude components corresponding to each second time period, and taking the first amplitude components corresponding to a plurality of second time periods as a plurality of first amplitude components; and obtaining second amplitude components corresponding to each second time period based on the number and the frequency multiplication of sampling points in the frequency domain pulse wave signal corresponding to each second time period, and taking the second amplitude components corresponding to a plurality of second time periods as a plurality of second amplitude components.
Alternatively, the calculation formula of the fixed time interval may be:
wherein,the dominant frequency may be represented.
Optionally, based on the number of sampling points and the dominant frequency in the frequency domain pulse wave signal corresponding to the second time period, the calculation formula for obtaining the first amplitude component corresponding to the second time period may be:
wherein,can represent->Frequencies corresponding to the second time periodsDomain pulse wave signal, ">The number of sampling points in the frequency domain pulse wave signal corresponding to a second time period can be represented, and the +.>A corresponding molecule.
Optionally, based on the number of sampling points and the frequency multiplication in the frequency domain pulse wave signal corresponding to the second time period, a calculation formula for obtaining the second amplitude component corresponding to the second time period may be:
wherein,can represent->Frequency domain pulse wave signals corresponding to the second time period,>the number of sampling points in the frequency domain pulse wave signal corresponding to a second time period can be represented based on F0 +.>It is possible to determine +.>A corresponding molecule.
For example, the first amplitude component and the second amplitude component corresponding to each second period of time may be as shown in fig. 5.
Optionally, in order to obtain a more accurate quality evaluation result, a frequency domain pulse wave signal corresponding to a first time period with a pressure value within a range of 30mmHg-140mmHg may be selected to obtain a frequency domain pulse wave signal corresponding to a second time period.
S134: the main frequency, the first amplitude, the plurality of first amplitude components, and the plurality of second amplitude components are taken as the frequency domain features.
Optionally, as shown in fig. 6, the obtaining the quality evaluation parameter based on the frequency domain feature of the frequency domain pulse wave signal and the static pressure signal includes:
s136: and obtaining the first quality evaluation parameter based on the maximum value and the minimum value in the first amplitude components, wherein the first quality evaluation parameter characterizes the change trend of the first amplitude components of the tested object.
As one way, the first quality assessment parameter may be derived based on a ratio of a maximum value to a minimum value of the plurality of first amplitude components. The calculation formula may be:
wherein,a maximum value of the plurality of first amplitude components may be represented,the minimum value of the plurality of first amplitude components may be represented.
By way of example, as shown in figure 7,for the minimum value of the plurality of first amplitude components +.>For the maximum value of the plurality of first amplitude components +.>=/>//>。
S137: and obtaining the second quality evaluation parameter based on the maximum value of the plurality of first amplitude components and the second amplitude component corresponding to the maximum value, wherein the second quality evaluation parameter characterizes the matching degree of the first amplitude component and the second amplitude component of the tested object.
As one way, the maximum value of the plurality of first amplitude components may be divided by the second amplitude component corresponding to the maximum value to obtain the second quality evaluation parameter. The calculation formula may be:
wherein,can represent the maximum value of the plurality of first amplitude components,/->Can represent +.>The corresponding second amplitude component, i.e. the second amplitude component within the mth second time period.
By way of example, as shown in figure 8,for the maximum value of the plurality of first amplitude components +.>=/>/。
S138: and obtaining the third quality evaluation parameter based on the maximum value of the first amplitude components and the static pressure signal corresponding to the maximum value, wherein the third quality evaluation parameter represents the matching degree of the first amplitude component of the tested object and the corresponding static pressure signal.
As one way, the maximum value of the plurality of first amplitude components may be acquired, and then the correlation may be performed based on time, a static pressure signal corresponding to the maximum value may be acquired, and the third quality evaluation parameter may be obtained based on a ratio of the maximum value to an average value of the static pressure signal. The calculation formula may be:
wherein,can represent the maximum value of the plurality of first amplitude components,/- >Can represent +.>The average value of the corresponding static pressure signals, namely the average value of the static pressure signals corresponding to the frequency domain pulse wave signals in the Mth second time period.
Alternatively, the calculation formula of the average value of the static pressure signal may be:
wherein,can represent the maximum value corresponding to the hydrostatic signal +.>Static pressure value of n-th sampling point, of ∈>Can represent static pressure signal +.>The total amount of sampling points contained in the data.
As shown in fig. 9, for example,for the maximum value of the plurality of first amplitude components +.>=/>/。
In the embodiment of the application, the frequency domain characteristics of the pulse wave signals are obtained through the fast Fourier transform, so that the data dimension reduction of the pulse wave signals is realized, and the calculation resources are saved. And by acquiring various frequency domain characteristics as reference bases of the quality evaluation parameters, the accuracy of the quality evaluation parameters can be improved.
S140: and obtaining a quality evaluation result of the pulse wave signal based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter, wherein the quality evaluation result is used for representing whether a tested object of the pulse wave signal is a target object or not.
As one way, the respective scores of the plurality of quality evaluation parameters may be obtained based on the plurality of quality evaluation parameters and the respective thresholds corresponding to the plurality of quality evaluation parameters; obtaining a total quality score based on the scores of each of the plurality of quality assessment parameters; and obtaining a quality evaluation result based on the total quality score and the score threshold.
The threshold value corresponding to each of the plurality of quality evaluation parameters can be obtained based on a plurality of tests.
In the embodiment of the application, the quality evaluation result is obtained through the quality evaluation parameters and the corresponding thresholds, so that the accuracy of the quality evaluation result can be improved.
According to the signal quality evaluation method provided by the embodiment, after the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated, a pulse wave signal for measuring the blood pressure of a tested object is obtained based on the air bag pressure signal, and a quality evaluation parameter corresponding to the pulse wave signal is obtained based on the pulse wave signal; and obtaining a quality evaluation result of the pulse wave signal, which is used for representing whether the tested object of the pulse wave signal is a target object or not, based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter. By adopting the method, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for the follow-up blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved.
Referring to fig. 10, the signal quality evaluation method provided in the embodiment of the present application is applied to a wearable device, where the wearable device is worn on a wrist of a user, and the wearable device includes a micro control unit, an air pump, an air bag, and a static pressure acquisition module, and the method includes:
s210: the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated.
S220: based on the air bag pressure signal, a pulse wave signal is obtained, and the pulse wave signal is used for measuring the blood pressure of the tested object.
S230: and obtaining quality evaluation parameters corresponding to the pulse wave signals based on the pulse wave signals.
S240: and obtaining respective scores of the quality evaluation parameters based on the quality evaluation parameters and the respective thresholds corresponding to the quality evaluation parameters.
The threshold value corresponding to each of the plurality of quality evaluation parameters may include a first threshold value and a second threshold value. Furthermore, the second quality assessment parameter and the third quality assessment parameter each also correspond to a third threshold value. For example, a plurality of thresholds for each of the plurality of quality assessment parameters may be as shown in table 1.
TABLE 1
As a way, each quality evaluation parameter can be compared with the respective first threshold and second threshold of each quality evaluation parameter to obtain a comparison result of each quality evaluation parameter; and obtaining a score of each quality evaluation parameter based on the comparison result of each quality evaluation parameter. If the quality evaluation parameter corresponding to the comparison result characterization is smaller than a first threshold value, determining the score of the quality evaluation parameter as a first score; if the quality evaluation parameter corresponding to the comparison result characterization is greater than or equal to the first threshold value and is smaller than the second threshold value, determining the score of the quality evaluation parameter as a second score, wherein the second score can be greater than the first score, and the second threshold value can be greater than the first threshold value.
Optionally, when the quality evaluation parameter only corresponds to the first threshold and the second threshold, if the quality evaluation parameter corresponding to the comparison result characterization is greater than or equal to the second threshold, the score of the quality evaluation parameter may be determined to be a third score, where the third score is greater than the second score.
Optionally, when the quality evaluation parameter corresponds to the first threshold, the second threshold and the third threshold, if the quality evaluation parameter corresponding to the comparison result characterization is greater than or equal to the second threshold and less than or equal to the third threshold, determining that the score of the quality evaluation parameter is a third score, where the third score is greater than the second score; if the quality evaluation parameter corresponding to the comparison result characterization is larger than the third threshold value, the score of the quality evaluation parameter can be determined to be a first score.
Illustratively, the comparison result may be related to the score as shown in Table 2. The first score may be 1 score, the second score may be 2 scores, and the third score may be 3 scores.
TABLE 2
In the embodiment of the application, the score of each quality evaluation parameter can be obtained based on a plurality of thresholds corresponding to each quality evaluation parameter, so that the fine division of the score of each quality evaluation parameter is realized, and the accuracy of the quality evaluation result is improved.
S250: and obtaining a total quality score based on the scores of the quality assessment parameters.
As one way, the sum of the scores of the respective plurality of quality assessment parameters may be taken as the total quality score.
For example, the first quality evaluation parameter Ratio1 may be 10.1, the second quality evaluation parameter Ratio2 may be 0.167, the third quality evaluation parameter Ratio3 may be 0.0107, the score of the first quality evaluation parameter may be 2 points, the score of the second quality evaluation parameter may be 3 points, the score of the third quality evaluation parameter may be 2 points, and the total quality score may be 7 points.
As another approach, a weighted sum of the scores of the respective plurality of quality assessment parameters may be taken as the total quality score.
The sum of the weights of the quality evaluation parameters may be 1, and the greater the weight corresponding to the quality evaluation parameter, the higher the importance of the quality evaluation parameter may be indicated.
S260: and obtaining the quality evaluation result based on the total quality score and the score threshold.
The quality evaluation result can also be used for representing the signal quality type of the pulse wave signal, wherein the signal quality type can represent whether the pulse wave signal can be used for measuring blood pressure. The signal quality type of the pulse wave signal may be a quality signal or a pass signal or a fail signal.
As one way, if the total mass score is smaller than the first score threshold, determining that the measured object corresponding to the pulse wave signal is not the target object and the pulse wave signal is the disqualified signal; if the total quality score is greater than or equal to the first score threshold and less than or equal to the second score threshold, determining that the detected object corresponding to the pulse wave signal is a target object and the pulse wave signal is a qualified signal; if the total quality score is larger than the second threshold value, determining that the detected object corresponding to the pulse wave signal is a target object and the pulse wave signal is a high-quality signal.
Wherein the target object may refer to a person. The first score threshold and the second score threshold may be derived based on multiple trials. Illustratively, the first score threshold may be 5 points and the second score threshold may be 7 points.
For example, as shown in fig. 11, the static pressure signal and the pulse wave signal separated from the air bag pressure signal may be obtained by the above method, the first quality evaluation parameter Ratio1 may be 2.28, the second quality evaluation parameter Ratio2 may be 0.4579, the third quality evaluation parameter Ratio3 may be 0.0028, the score of the first quality evaluation parameter may be 1 score, the score of the second quality evaluation parameter may be 3 score, the score of the third quality evaluation parameter may be 1 score, the total quality score may be 5 score, the measured object corresponding to the pulse wave signal may be determined to be the target object, and the pulse wave signal may be the qualified signal.
For example, as shown in fig. 12, the static pressure signal and the pulse wave signal separated from the air bag pressure signal may be obtained by the above method, the first quality evaluation parameter Ratio1 may be 1.56, the second quality evaluation parameter Ratio2 may be 2.53, the third quality evaluation parameter Ratio3 may be 0.0012, the score of the first quality evaluation parameter may be 1 score, the score of the second quality evaluation parameter may be 1 score, the score of the third quality evaluation parameter may be 1 score, the total quality score may be 3 scores, it may be determined that the measured object corresponding to the pulse wave signal is not the target object (the measured object may be a cup, a cat, a dog, or the like), and the pulse wave signal is a failure signal.
According to the signal quality evaluation method provided by the embodiment, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for subsequent blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved. In addition, in the embodiment, the quality evaluation result can be obtained based on the first score threshold and the second score threshold of the total quality score, so that the fine division of the pulse wave signal quality is realized, and the accuracy of the quality evaluation result is further improved.
Referring to fig. 13, a signal quality evaluation method provided in an embodiment of the present application is applied to a wearable device, where the wearable device is worn on a wrist of a user, and the wearable device includes a micro control unit, an air pump, an air bag, and a static pressure acquisition module, and the method includes:
s310: the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated.
S320: based on the air bag pressure signal, a pulse wave signal is obtained, and the pulse wave signal is used for measuring the blood pressure of the tested object.
S330: and obtaining quality evaluation parameters corresponding to the pulse wave signals based on the pulse wave signals.
S340: and obtaining a quality evaluation result of the pulse wave signal based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter, wherein the quality evaluation result is used for representing whether a tested object of the pulse wave signal is a target object or not.
S350: when the air pump is confirmed to meet the target condition, the air pump is controlled to stop inflating the air bag, and the static pressure acquisition module is controlled to stop acquiring the air bag pressure signal, wherein the target condition is that the air bag pressure of the air bag is larger than a preset air pressure value, or the inflation time of the air pump is longer than or equal to a preset duration, or the pulse wave signal reaches a specified condition.
The preset air pressure value may be 260mmHg, and the preset duration may be 50 seconds. The pulse wave signal may comprise a pulse wave signal over a first period of time.
Optionally, as shown in fig. 14, determining that the pulse wave signal reaches a specified condition includes:
s351: the first time period is divided into a plurality of consecutive second time periods.
As one way, the first period of time may be divided into a plurality of consecutive second periods of time at preset fixed time intervals. For example, the preset fixed time interval may be any whole second number within 1 to 6 seconds.
S352: and acquiring the maximum value and the minimum value of the pulse wave signal of each second time period.
As one way, the maximum value and the minimum value of the plurality of data points in the pulse wave signal of each second period may be regarded as the maximum value and the minimum value of the pulse wave signal of the corresponding second period.
For example, as shown in fig. 15, the preset fixed time interval may be 2 seconds, and the minimum value of the pulse wave signal in the second period may be the value of the point a, and the maximum value may be the value of the point B or the point C.
S353: and calculating the extremum difference of the pulse wave signals of each second time period based on the maximum value and the minimum value of the pulse wave signals of each second time period so as to obtain a plurality of extremum differences.
As one way, the maximum value and the minimum value of the pulse wave signal of each second period may be subtracted to obtain the extremum difference of the pulse wave signal of the corresponding second period, so as to obtain a plurality of extremum differences.
Alternatively, the plurality of extremum differences may be stored in a time-from-first-to-last order in a designated stack.
S354: and differentiating the extreme values into a plurality of continuous difference value groups, wherein the number of the extreme value differences in each difference value group is the same.
As one way, the plurality of extremum differences in a given stack may be grouped into a plurality of successive difference groups, each of the difference groups having the same number of extremum differences. For example, there may be a plurality of extremum differences { diff1, diff2, diff3, diff4, diff5, diff6}, and the two time-sequential difference sets may be { diff1, diff2, diff3}, { diff4, diff5, diff6}, respectively, by dividing each difference set to include 3 extremum differences.
Alternatively, the number of extremum differences in each difference set may be an integer in the range of [2,6 ].
S355: in the next comparison process, if the reference difference value of the difference value group in the next comparison process is larger than the preset difference value, confirming that the pulse wave signal does not reach the specified condition, updating the preset difference value into the reference difference value, entering the next comparison process, taking the updated preset difference value as the preset difference value in the next comparison process, and taking the next difference value group corresponding to the difference value group in the next comparison process as the difference value group in the next comparison process.
In one mode, in the current comparison process, if the reference difference value of the difference value set in the current comparison process is greater than the preset difference value, it may be determined that the pulse wave signal does not reach the specified condition, the preset difference value is updated to be the reference difference value, the next comparison process is entered, the updated preset difference value is used as the preset difference value in the next comparison process, and the next difference value set corresponding to the difference value set in the current comparison process is used as the difference value set in the next comparison process.
Alternatively, the average value of the plurality of extremum differences included in the difference group of the current comparison process may be used as the reference difference value.
For example, when the difference set of the secondary comparison process may be { diff1, diff2, diff3}, the reference difference Temp may be (diff1+diff2+diff3)/3.
In the embodiment of the present application, the preset difference value Rmax in the first comparison process may be 0.
For example, as shown in fig. 16, the preset difference value Rmax in the first comparison process may be 0, and after the reference difference value Temp of the difference value group in the first comparison process may be 0.2, since Temp > Rmax, rmax may be updated to 0.2, and in the next comparison process, 0.2 is compared with the reference difference value Temp corresponding to the difference value group { diff4, diff5, diff6 }.
S356: and in the current comparison process, if the reference difference value of the difference value group in the current comparison process is smaller than the preset multiple of the preset difference value, confirming that the pulse wave signal reaches the specified condition.
The preset multiple may be obtained based on multiple experiments, and exemplary, the preset multiple may be 0.3.
In one mode, in the current comparison process, if the reference difference value of the difference value group in the current comparison process is smaller than a preset multiple of a preset difference value, it is confirmed that the pulse wave signal reaches the specified condition. For example, when the reference difference of the difference group of the next comparison process may be 0.02, the preset difference may be 0.01, the preset multiple may be 0.3, and since 0.02< (0.01x0.3), it may be confirmed that the pulse wave signal reaches the specified condition.
In the embodiment of the application, whether the inflation should be stopped or not can be timely confirmed through the change condition of the pulse, so that the user experience is improved.
According to the signal quality evaluation method provided by the embodiment, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for subsequent blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved. Moreover, in the embodiment, by stopping inflating the air bag after the target condition is met, the air bag can be prevented from being damaged, and the collected object is prevented from being excessively extruded by the wearing equipment, so that the use safety of the wearing equipment is improved.
In order to better understand the solution of the embodiment of the present application, the following describes the overall business flow of the embodiment of the present application.
Referring to fig. 17, the micro control unit may control the air pump to inflate the airbag with a constant ventilation amount. Meanwhile, the micro-control unit can control the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated, and separate the acquired air bag pressure signal into a pulse wave signal and a static pressure signal, so that the micro-control unit can perform main frequency analysis and time-frequency analysis on the pulse wave signal to obtain frequency domain characteristics, and further obtain quality evaluation parameters to obtain corresponding quality evaluation results based on the quality evaluation parameters.
Wherein, in the process that the micro-control unit controls the air pump to inflate the air bag with the constant ventilation volume, the micro-control unit can confirm in real time whether to satisfy the target condition, and when satisfying the target condition, control the air pump and stop inflating the air bag and control the static pressure acquisition module and stop gathering the air bag pressure signal.
A wearable device provided in the present application will be described below with reference to fig. 18.
Referring to fig. 18, based on the above-mentioned signal quality evaluation method, another wearable device 100 capable of performing the above-mentioned signal quality evaluation method is further provided in the embodiments of the present application. The wearable device 100 comprises a micro-control unit 102, an air pump 104, an air bag 106, a static pressure acquisition module 108, and a memory 110.
The memory 110 stores therein a program capable of executing the contents of the foregoing embodiments, and the micro control unit 102 can execute the program stored in the memory 110.
Wherein the micro-control unit 102 may include one or more processing cores. The micro-control unit 102 connects various parts within the overall vehicle 100 using various interfaces and lines, performs various functions of the vehicle 100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 110, and invoking data stored in the memory 110. Alternatively, the micro control unit 102 may be implemented in at least one hardware form of a network processor (Neural network Processing Unit, NPU), digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The micro-control unit 102 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a network processor (Neural network Processing Unit, NPU), a micro-control unit (Microcontroller Unit, MCU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for being responsible for rendering and drawing of display content; the NPU is responsible for processing multimedia data of video and image types; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the micro control unit 102 and may be implemented by a single communication chip.
The Memory 110 may include a random access Memory (Random Access Memory, RAM) and may also include a Read-Only Memory (DDR) and a Double data rate (Double data rate) dynamic random access Memory (DDR). Memory 110 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 110 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing operation of the wearable device, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described below, etc. The storage data area may also store data created by the wearable device 100 in use (such as phonebooks, audiovisual data, chat log data), and the like.
Referring to fig. 19, a block diagram of a computer readable storage medium according to an embodiment of the present application is shown. The computer readable storage medium 800 has stored therein program code that can be invoked by a processor to perform the methods described in the method embodiments described above.
The computer readable storage medium 800 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Optionally, the computer readable storage medium 800 comprises a non-volatile computer readable storage medium (non-transitory computer-readable storage medium). The computer readable storage medium 800 has storage space for program code 810 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. Program code 810 may be compressed, for example, in a suitable form.
In summary, according to the signal quality evaluation method, the wearable device and the computer readable storage medium provided by the application, after the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated, a pulse wave signal for measuring blood pressure of a tested object is obtained based on the air bag pressure signal, and a quality evaluation parameter corresponding to the pulse wave signal is obtained based on the pulse wave signal; and obtaining a quality evaluation result of the pulse wave signal, which is used for representing whether the tested object of the pulse wave signal is a target object or not, based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter. By adopting the method, the quality evaluation parameters can be acquired based on the pulse wave signals, so that the signal quality type of the pulse wave signals and whether the tested object of the pulse wave signals is a target object or not can be determined based on the quality evaluation parameters, and data with quality evaluation results conforming to measurement standards can be provided for the follow-up blood pressure measurement tasks, so that the accuracy of blood pressure measurement is improved.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, one of ordinary skill in the art will appreciate that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not drive the essence of the corresponding technical solutions to depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (15)
1. The signal quality evaluation method is characterized by being applied to a wearable device, wherein the wearable device is worn on a wrist of a user, the wearable device comprises a micro control unit, an air pump, an air bag and a static pressure acquisition module, and the method comprises the following steps:
the micro control unit is used for controlling the air pump to inflate the air bag and controlling the static pressure acquisition module to acquire an air bag pressure signal when the air bag is inflated;
based on the air bag pressure signal, a pulse wave signal is obtained, and the pulse wave signal is used for measuring the blood pressure of a tested object;
based on the pulse wave signals, obtaining quality evaluation parameters corresponding to the pulse wave signals;
and obtaining a quality evaluation result of the pulse wave signal based on the quality evaluation parameter and a threshold value corresponding to the quality evaluation parameter, wherein the quality evaluation result is used for representing whether a tested object of the pulse wave signal is a target object or not.
2. The method of claim 1, wherein the deriving a pulse wave signal based on the balloon pressure signal comprises:
the air bag pressure signal is subjected to low-pass filtering to obtain a filtered low-frequency signal and a low-pass filtered air bag pressure signal, the low-pass filtered air bag pressure signal is used as the pulse wave signal, and the filtered low-frequency signal is used as a static pressure signal;
The obtaining, based on the pulse wave signal, a quality evaluation parameter corresponding to the pulse wave signal includes:
and obtaining quality evaluation parameters corresponding to the pulse wave signals based on the pulse wave signals and the static pressure signals.
3. The method according to claim 2, wherein the obtaining the quality assessment parameter corresponding to the pulse wave signal based on the pulse wave signal and the static pressure signal includes:
performing fast Fourier transform on the pulse wave signals to obtain frequency domain characteristics of the pulse wave signals;
and obtaining the quality evaluation parameter based on the frequency domain characteristics of the frequency domain pulse wave signals and the static pressure signals.
4. A method according to claim 3, wherein the pulse wave signal comprises a pulse wave signal over a first time period, the fast fourier transforming the pulse wave signal resulting in a frequency domain characteristic of the pulse wave signal, comprising:
performing fast Fourier transform on the pulse wave signals in the first time period to obtain frequency domain pulse wave signals in the first time period;
acquiring a main frequency of a frequency domain pulse wave signal in the first time period and a first amplitude corresponding to the main frequency, wherein the main frequency represents the heart rate of the tested object, and the first amplitude represents the maximum value of the heart vibration energy of the tested object in the first time period;
Acquiring a plurality of first amplitude components and a plurality of second amplitude components of the frequency domain pulse wave signals in the first time period, wherein the first amplitude components are amplitude components corresponding to main frequencies, and the second amplitude components are amplitude components corresponding to frequency multiplication;
the main frequency, the first amplitude, the plurality of first amplitude components, and the plurality of second amplitude components are taken as the frequency domain features.
5. The method of claim 4, wherein the frequency domain pulse wave signal comprises a plurality of sampling points, the acquiring a plurality of first amplitude components and a plurality of second amplitude components of the frequency domain pulse wave signal over the first period of time comprising:
dividing the first time period into a plurality of consecutive second time periods based on a fixed time interval, the fixed time interval being derived based on the primary frequency;
obtaining first amplitude components corresponding to each second time period based on the number of sampling points in the frequency domain pulse wave signal corresponding to each second time period and the main frequency, and taking the first amplitude components corresponding to a plurality of second time periods as a plurality of first amplitude components;
and obtaining second amplitude components corresponding to each second time period based on the number of sampling points in the frequency domain pulse wave signal corresponding to each second time period and the frequency multiplication, and taking a plurality of second amplitude components corresponding to the second time periods as a plurality of second amplitude components.
6. The method of claim 4, wherein the quality assessment parameters include a first quality assessment parameter, a second quality assessment parameter, and a third quality assessment parameter, the deriving the quality assessment parameters based on the frequency domain characteristics of the frequency domain pulse wave signal and the static pressure signal comprising:
obtaining the first quality evaluation parameter based on the maximum value and the minimum value in the first amplitude components, wherein the first quality evaluation parameter represents the variation trend of the first amplitude components of the tested object;
obtaining a second quality evaluation parameter based on the maximum value of the first amplitude components and a second amplitude component corresponding to the maximum value, wherein the second quality evaluation parameter represents the matching degree of the first amplitude component and the second amplitude component of the tested object;
and obtaining the third quality evaluation parameter based on the maximum value of the first amplitude components and the static pressure signal corresponding to the maximum value, wherein the third quality evaluation parameter represents the matching degree of the first amplitude component of the tested object and the corresponding static pressure signal.
7. The method of claim 1, wherein the quality assessment result is further used to characterize a signal quality type of the pulse wave signal, the signal quality type characterizing whether the pulse wave signal is usable for measuring blood pressure.
8. The method according to claim 7, wherein the quality evaluation parameters are plural, the obtaining the quality evaluation result of the pulse wave signal based on the quality evaluation parameters and the threshold values corresponding to the quality evaluation parameters includes:
obtaining respective scores of the quality assessment parameters based on the quality assessment parameters and respective thresholds corresponding to the quality assessment parameters;
obtaining a total quality score based on the scores of each of the plurality of quality assessment parameters;
and obtaining the quality evaluation result based on the total quality score and the score threshold.
9. The method of claim 8, wherein the respective thresholds for the plurality of quality assessment parameters include a first threshold and a second threshold, wherein the deriving the respective scores for the plurality of quality assessment parameters based on the respective thresholds for the plurality of quality assessment parameters and the plurality of quality assessment parameters comprises:
comparing each quality evaluation parameter with a first threshold value and a second threshold value of each quality evaluation parameter to obtain a comparison result of each quality evaluation parameter;
obtaining a score of each quality evaluation parameter based on the comparison result of each quality evaluation parameter, wherein if the quality evaluation parameter corresponding to the comparison result characterization is smaller than the first threshold value, the score of the quality evaluation parameter is determined to be a first score;
And if the quality evaluation parameter corresponding to the comparison result characterization is larger than or equal to the first threshold value and smaller than or equal to the second threshold value, determining the score of the quality evaluation parameter as a second score, wherein the second score is larger than the first score, and the second threshold value is larger than the first threshold value.
10. The method of claim 8, wherein the score threshold comprises a first score threshold, a second score threshold, wherein the deriving the quality assessment result based on a total quality score and a score threshold comprises:
if the total quality score is smaller than the first score threshold, determining that the detected object corresponding to the pulse wave signal is not a target object and the pulse wave signal is a disqualified signal;
if the total quality score is greater than or equal to the first score threshold and less than or equal to the second score threshold, determining that the detected object corresponding to the pulse wave signal is the target object and the pulse wave signal is a qualified signal;
and if the total quality score is larger than the second threshold value, determining that the detected object corresponding to the pulse wave signal is the target object and the pulse wave signal is a high-quality signal.
11. The method according to claim 1, wherein the method further comprises:
when the air pump is confirmed to meet the target condition, the air pump is controlled to stop inflating the air bag, and the static pressure acquisition module is controlled to stop acquiring the air bag pressure signal, wherein the target condition is that the air bag pressure of the air bag is larger than a preset air pressure value, or the inflation time of the air pump is longer than or equal to a preset duration, or the pulse wave signal reaches a specified condition.
12. The method of claim 11, wherein the pulse wave signal comprises a pulse wave signal over a first period of time, the method further comprising:
dividing the first time period into a plurality of consecutive second time periods;
acquiring the maximum value and the minimum value of the pulse wave signal of each second time period;
calculating extremum differences of the pulse wave signals of each second time period based on the maximum value and the minimum value of the pulse wave signals of each second time period, so as to obtain a plurality of extremum differences;
differentiating the extreme values into a plurality of continuous difference value groups, wherein the number of the extreme value differences in each difference value group is the same;
in the next comparison process, if the reference difference value of the difference value group in the next comparison process is larger than a preset difference value, confirming that the pulse wave signal does not reach the specified condition, updating the preset difference value into the reference difference value, entering the next comparison process, taking the updated preset difference value as the preset difference value in the next comparison process, and taking the next difference value group corresponding to the difference value group in the next comparison process as the difference value group in the next comparison process;
And in the current comparison process, if the reference difference value of the difference value group in the current comparison process is smaller than the preset multiple of the preset difference value, confirming that the pulse wave signal reaches the specified condition.
13. The method of any one of claims 1-12, wherein the micro control unit controls the air pump to inflate the air bladder, comprising:
the micro control unit controls the air pump to inflate the air bag with constant ventilation.
14. The wearable device is characterized by being worn on the wrist of a user and comprises a micro control unit, an air pump, an air bag and a static pressure acquisition module;
the micro-control unit is adapted to perform the method of any of claims 1-13.
15. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program code, wherein the method of any of claims 1-13 is performed when the program code is run.
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