CN114041766A - Blood pressure measurement optimization method, system and medium - Google Patents
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Abstract
The invention discloses a blood pressure measurement optimization method, a blood pressure measurement optimization system and a blood pressure measurement optimization medium, wherein the method comprises the following steps: acquiring a pressure mixing curve in the inflating process, extracting pulse signals in the pressure mixing curve, and processing to obtain an envelope curve of the pulse signal variation trend; calculating blood pressure based on the envelope curve to obtain a blood pressure value; analyzing based on the pulse signals to obtain quality evaluation coefficients of the pulse signals; comparing the quality evaluation coefficient with a set threshold value, and determining whether to use the blood pressure value calculated by the pressurization and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method. The invention can improve the accuracy of blood pressure measurement.
Description
Technical Field
The invention relates to the field of blood pressure measurement, in particular to a blood pressure measurement optimization method, a blood pressure measurement optimization system and a blood pressure measurement optimization medium.
Background
When blood flows in a blood vessel, the lateral pressure on the blood vessel wall is called blood pressure, which is usually arterial blood pressure or systemic blood pressure, and is an important vital sign. The blood pressure plays an important role in the observation of recovery after healing, the feedback of treatment effect, the judgment of diseases and the like.
The current blood pressure measuring methods can be divided into two categories, namely invasive measurement methods and non-invasive measurement methods, wherein the invasive measurement methods are gold standards for blood pressure measurement, but the invasive measurement methods are not advocated by the public due to the complex operation, poor repeatability and high operation cost, and the consequences of wound infection, bleeding, pain, thrombus formation, air embolism and the like of a measured person in the blood pressure measuring process are easy to occur. At present, except for invasive methods used under certain special conditions, non-invasive blood pressure measurement methods are adopted for the rest, the current medical or household electronic sphygmomanometer is mainly based on an oscillometric method, and the main principle is that a human artery is firstly closed, then at least two pulse effective pulse signals are obtained at each deflation step in a step deflation mode, the amplitude trend of the pulse signals is constructed through envelope fitting, and finally the blood pressure is calculated through fitting an envelope curve.
The traditional blood pressure calculation method, which is to pressurize the cuff and then measure the cuff during deflation, has two disadvantages: (1) the blood pressure measurement period is long; (2) the measurement comfort is poor.
The oscillography is mainly divided into two parts in the process of blood pressure calculation: (1) blocking blood flow by pressurization; (2) the blood pressure was measured under reduced pressure.
The system will initialize or set a target pressure according to the last blood pressure measurement during the pressurization process, if the initialized target pressure value is measured for the first time and is 160mmHg-180mmHg, if the blood pressure measurement result is measured, the next inflation pressure target set value is the last systolic pressure plus 30mmHg-40mmHg, which is called the target pressure hard threshold setting mode. In this way, the blood pressure measurement is performed under the following conditions, so that the measurement efficiency is reduced: (1) if the blood pressure of the tested person is relatively low in the initial process, the feeling of the tested person, namely the mistaken pressurization in the initial process, is influenced when the blood pressure measurement efficiency is reduced by adopting a setting mode of a target pressure hard threshold value;
(2) in the process of blood pressure measurement in a hospital, a blood pressure measuring device and a patient are generally in a one-to-many mode, and the setting mode of the target pressure hard threshold value cannot be used for quick response among different patients, namely cannot be used for differential setting;
(3) in the process of blood pressure measurement, if the subject is tested to move, the system may recognize movement disturbance as a pulse signal at the moment, and the system considers that the current pressure value cannot completely close the artery at the moment and false pressurization occurs, namely, the anti-movement performance is poor.
If movement occurs during the decompression measurement, the accuracy of the blood pressure measurement is reduced. We proceed with the analysis as to where the motion occurs:
(1) when the cuff pressure is higher than the actual systolic pressure, the movement generates a pulse-like signal, so that the system mistakenly thinks that the pulse signal appears at the moment and the calculated systolic pressure is larger;
(2) when the cuff pressure is in a stage between the systolic pressure and the average pressure, the average pressure is calculated to be higher due to the motion, and the measurement precision of the systolic pressure and the diastolic pressure is influenced;
(3) when the cuff pressure is in a stage between the diastolic pressure and the average pressure, the occurrence of motion can lower the average pressure calculation to influence the measurement precision of the systolic pressure and the diastolic pressure;
(4) the cuff pressure is less than the diastolic phase, where motion occurs that would cause the diastolic calculation to be lower.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a blood pressure measurement optimization method which can improve the blood pressure measurement precision.
The invention also provides a blood pressure measurement optimization system.
The invention also provides a computer readable storage medium for implementing the blood pressure measurement optimization method.
According to a first aspect of the invention, a blood pressure measurement optimization method comprises the following steps: acquiring a pressure mixing curve in the inflating process, extracting pulse signals in the pressure mixing curve, and processing to obtain an envelope curve of the pulse signal variation trend; calculating blood pressure based on the envelope curve to obtain a blood pressure value; analyzing based on the pulse signals to obtain quality evaluation coefficients of the pulse signals; comparing the quality evaluation coefficient with a set threshold value, and determining whether to use the blood pressure value calculated by the pressurization and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method.
The blood pressure measurement optimization method provided by the embodiment of the invention at least has the following beneficial effects: according to the embodiment of the invention, the calculation of the blood pressure and the quality evaluation of the pulse signal are completed in the inflation stage through relevant modes such as signal processing and the like, whether the blood pressure value needs to be calculated in the deflation measurement mode is finally determined according to the comparison between the quality evaluation factor and the threshold value, and the target pressure is set by using the setting mode of the target pressure soft threshold value, so that the accurate control of the inflation target pressure is achieved, and the efficiency of the blood pressure measurement is improved.
According to some embodiments of the invention, comparing the quality assessment factor to a set threshold to determine whether to use the blood pressure value calculated using the present compression and whether to soft threshold the target pressure value comprises: obtaining two set thresholds including a first threshold and a second threshold through the quality evaluation coefficient, wherein the first threshold is smaller than the second threshold; when the quality evaluation coefficient is smaller than the first threshold value, setting a hard threshold value for a target pressure value; when the quality evaluation coefficient is greater than or equal to the first threshold and less than or equal to the second threshold, performing soft threshold setting on a target pressure value; and when the quality evaluation coefficient is larger than the second threshold value, performing soft threshold setting on a target pressure value and outputting the blood pressure value calculated by pressurization as a blood pressure measurement result.
According to some embodiments of the invention, when the quality evaluation coefficient is equal to or less than the second threshold, determining to perform a decompression blood pressure calculation includes: and acquiring a pulse signal in the deflation process, and analyzing the pulse signal to obtain a blood pressure value measured by a decompression method.
According to some embodiments of the invention, the decompression method blood pressure calculation comprises: during deflation, an anti-motion strategy is adopted for motion disturbance, comprising the following steps: if the motion signal is in a state that the pulse is completely closed, between the systolic pressure and the diastolic pressure or between the average pressure and the diastolic pressure, giving a motion prompt to prompt the subject to stop moving, then continuing to deflate, and identifying the motion signal as an invalid signal which is not used as the basis for subsequent blood pressure calculation; and if the position where the motion signal appears is smaller than the diastolic pressure, identifying the motion signal as an invalid signal which is not used as the basis for the subsequent blood pressure calculation, and directly ending the blood pressure measurement and outputting the blood pressure calculation result. In the embodiment, the blood pressure measurement precision in the deflation stage is improved, and the blood pressure value is already calculated in the inflation stage in a related signal processing mode, so that whether the pulse signal is generated by movement or not can be directly reversely deduced in the subsequent deflation stage, and the blood pressure measurement accuracy in the deflation stage is further improved.
According to some embodiments of the invention, the soft threshold setting comprises: and feeding the blood pressure value back to a pressure control system, and setting a target pressure value by the pressure control system according to the blood pressure value. In the embodiment, the target pressure is set by using the setting mode of the target pressure soft threshold, so that the efficiency of blood pressure measurement is improved. Actually, the oscillometric method for measuring blood pressure can be divided into a pressurizing stage measurement and a depressurizing stage measurement, the depressurizing stage measurement is the traditional deflation measurement mode, in order to ensure that the target inflation pressure can be accurately determined each time, relevant signal processing means are adopted to extract pulse signals in the inflating stage, firstly, the quality of the extracted pulse signals is judged, then, the blood pressure value is determined through an amplitude coefficient method, a qualitative method and a pressure envelope curve inflection point method, the calculated blood pressure value is fed back to a pressure control system, the setting of the target pressure value is finally completed, the accurate control of the inflation target pressure is further achieved, and the efficiency of blood pressure calculation is improved.
According to some embodiments of the invention, the method further comprises eliminating motion disturbances during inflation, comprising: when the target pressure value is not reached, movement occurs and a pulse-like signal is generated, and the signal type of the pulse-like signal is determined according to the position where the pulse-like signal occurs and the strength of the pulse signal; if the pulse signal is the pulse signal, continuing to perform the subsequent measurement step; if the pressure value is a movement signal, corresponding movement prompt information is given, movement reminding is given, then whether the pressure at the moment reaches a target pressure set in a soft threshold mode or not is judged, and if the pressure at the moment reaches the target pressure set in a soft threshold mode, the blood pressure value or the rebreathing measurement which is directly calculated by using a pressurization mode is determined according to the range of the quality evaluation coefficient at the moment; if the target pressure set by the soft threshold has not been reached, the inflation is continued and the subsequent measurement operation is performed. In the embodiment, the anti-exercise capacity of the system is improved in the inflation process, the blood pressure value is calculated in a pressurization mode, then the position where the pulse wave appears is judged, then whether the pulse wave is the real pulse wave is judged, and then the system performs the next operation to determine whether the next inflation is needed or the blood pressure measurement in the deflation stage is directly performed.
According to some embodiments of the present invention, extracting the pulse signals in the pressure mixing curve, and processing the extracted pulse signals to obtain an envelope curve of the variation trend of the pulse signals includes: extracting the pulse signals in the mixed pressure curve by adopting a relevant time domain or frequency domain mode, and extracting time domain and frequency domain characteristics of the pulse signals by adopting a time domain or frequency domain or time domain and frequency domain combined computing mode after the pulse signals are obtained; and operating the characteristics of the pulse signals by adopting a linear or nonlinear interpolation mode to finally obtain an envelope curve of the pulse signal variation trend.
According to some embodiments of the invention, analyzing based on the pulse signal to obtain a quality assessment coefficient of the pulse signal comprises: analyzing in a time domain or frequency domain or time domain and frequency domain combined mode; the time domain mode comprises the following steps: respectively calculating the peak amplitude variation degree, the valley amplitude variation degree, the peak-peak interval variation degree, the valley-valley interval variation degree and the peak-valley interval variation degree of the pulse signals by analyzing the pulse characteristics of the pulse signals, and giving a score of signal quality; the frequency domain method comprises the following steps: and (3) analyzing the amplitude-frequency characteristics of the pulse signals, judging whether the frequency corresponding to the maximum amplitude is consistent with the pulse rate or not, and calculating the ratio of the maximum peak value to the secondary peak value to give a score of the signal quality. And calculating to give a final signal quality score according to the signal quality score calculated in the time domain, the signal quality score calculated in the frequency domain and the corresponding weights of the signal quality score and the signal quality score.
A blood pressure measurement optimization system according to an embodiment of the second aspect of the present invention includes: the pulse signal extraction module is used for extracting pulse signals in the pressure mixing curve and processing the pulse signals to obtain an envelope curve of the change trend of the pulse signals; the blood pressure calculation module is used for calculating blood pressure based on the envelope curve to obtain a blood pressure value; the signal quality evaluation module is used for analyzing based on the pulse signals to obtain a quality evaluation coefficient of the pulse signals; the judging module is used for comparing the quality evaluation coefficient with a set threshold value and determining whether to use the blood pressure value calculated by pressurization at this time and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method.
The blood pressure measurement optimizing system provided by the embodiment of the invention at least has the following beneficial effects: according to the embodiment of the invention, the calculation of the blood pressure and the quality evaluation of the pulse signal are completed in the inflation stage through relevant modes such as signal processing and the like, whether the blood pressure value needs to be calculated in the deflation measurement mode is finally determined according to the comparison between the quality evaluation factor and the threshold value, and the target pressure is set by using the setting mode of the target pressure soft threshold value, so that the accurate control of the inflation target pressure is achieved, and the efficiency of the blood pressure measurement is improved.
According to some embodiments of the invention, the system further comprises a pressure control system for completing the setting of the target pressure value in dependence of the calculated blood pressure value. The embodiment achieves the accurate control of the inflation target pressure and improves the efficiency of blood pressure calculation.
The computer-readable storage medium according to an embodiment of the third aspect of the invention has stored thereon a computer program which, when executed by a processor, performs the method of any of the embodiments of the first aspect of the invention.
All the benefits of the first aspect of the present invention are obtained because the computer-readable storage medium of the embodiment of the present invention stores computer-executable instructions for executing the blood pressure measurement optimization method according to any one of the first aspect of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 2 is a schematic view of a blood pressure measurement process in a pressurized mode according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a setting process of a target pressure control method according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the anti-motion strategy in the decompression measurement process according to an embodiment of the present invention;
FIG. 5 is a block diagram of the modules of the system of an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
Referring to fig. 1, a method of an embodiment of the present invention includes the steps of: acquiring a pressure mixing curve in the inflation process, extracting pulse signals in the pressure mixing curve, and processing to obtain an envelope curve of the change trend of the pulse signals; calculating blood pressure based on the envelope curve to obtain a blood pressure value; analyzing based on the pulse signals to obtain quality evaluation coefficients of the pulse signals; comparing the quality evaluation coefficient with a set threshold value, and determining whether to use the blood pressure value calculated by pressurization at this time and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method. In the embodiment, the calculation of the blood pressure and the quality evaluation of the pulse signals are completed in a relevant mode such as signal processing in the inflation stage, and finally whether the blood pressure value needs to be calculated again in a deflation measurement mode is determined according to the comparison between the quality evaluation factor and the threshold value.
Referring to fig. 2, in the present embodiment, a blood pressure value is calculated by a pressurization method, and in the process of inflating, a pressure sensor may obtain a pressure mixing curve, where the pressure mixing curve is formed by an inflation pressure signal and a pulse signal, so that in order to enable the pulse signal to correspond to the pressure signal, we need to extract the pulse signal in the mixing pressure curve by using a relevant time domain or frequency domain method; after the pulse signal is obtained, the time domain and frequency domain characteristics of the pulse signal are extracted by using a calculation mode of combining a time domain, a frequency domain or a time domain and a frequency domain, wherein the characteristics mainly comprise peak amplitude and position thereof, valley amplitude and position thereof and amplitude-frequency characteristics of the pulse signal. In order to obtain an envelope curve of a relevant pulse signal, a linear or nonlinear interpolation mode (linear interpolation, secondary interpolation, Lagrange interpolation, cubic spline interpolation and the like) is adopted to operate the pulse signal characteristics to finally obtain the envelope curve of the pulse signal variation trend; and (4) calculating the blood pressure by adopting a pressure envelope curve inflection point method and an amplitude coefficient method.
The pressure envelope inflection point method is a method for analyzing and calculating a blood pressure value of a pulse signal extracted from a static pressure curve, and takes a maximum peak point as a starting point to be marked as t, the corresponding peak amplitude of the maximum peak point is qt, the maximum point of the variation is respectively found by adopting the ratio of the adjacent peak amplitudes forwards and backwards, the pressure value corresponding to the maximum waveform position of the forward amplitude variation is diastolic pressure, and the pressure value corresponding to the maximum waveform position of the backward amplitude variation is systolic pressure. The amplitude coefficient method is a method for analyzing and calculating the blood pressure of an envelope curve of the pulse signal variation trend, because the obtained envelope curve is normalized, and because the coefficient of the general systolic pressure of a human body is 0.46-0.64 and the amplitude coefficient of the diastolic pressure is 0.43-0.73, a systolic pressure coefficient S and a diastolic pressure coefficient D are respectively determined in the coefficient range, and then a point with the pressure coefficient D is found forwards by taking the maximum value of the envelope curve as a starting point, and the pressure value corresponding to the point is the diastolic pressure. And (4) finding a point with the pressure coefficient S backwards by taking the maximum value of the envelope as a starting point, wherein the pressure value corresponding to the point is the systolic pressure, and finally, the calculation of the blood pressure is finished.
And analyzing the pulse characteristics and the pulse signals in a relevant time domain and frequency domain mode or a mode of combining the time domain and the frequency domain to obtain a quality evaluation coefficient (SQI) of the pulse signals, finally comparing the SQI with a set threshold value, and finally judging whether the blood pressure calculation result directly adopts a pressurizing mode or not. The following describes time domain signal quality analysis and frequency domain signal quality analysis, respectively, the time domain signal quality analysis: the pulse signal features extracted from the static pressure curve include, but are not limited to, its peak and its location and its valley and its location. Then, the obtained pulse characteristics are analyzed, and the peak amplitude variation degree (20 points), the valley amplitude variation degree (20 points), the peak-valley amplitude variation degree (10 points), the peak-peak interval variation degree (20 points), the valley-valley interval variation degree (20 points), the peak-valley interval variation degree and the like (10 points) are respectively calculated. Wherein the amplitude variation is used for analyzing the longitudinal stability of the pulse signal. The interval variation is used for analyzing whether the width of the pulse signal is uniform or not. The analysis results are part of the morphological characteristics of the pulse signal, so that the quality of the signal can be judged based on the analysis results. And ultimately gives a score of signal quality.
Signal quality frequency analysis strategy: the amplitude-frequency characteristic analysis is performed on the obtained pulse signal, for example, if the obtained pulse rate is N, then the amplitude corresponding to the corresponding frequency 1/N should be the maximum value. The judgment strategy is that if the frequency corresponding to the maximum amplitude is consistent with the pulse rate and the maximum peak value/secondary peak value is greater than 1000, the judgment is that the current time is 100 minutes; if the frequency corresponding to the maximum amplitude is consistent with the pulse rate and the maximum peak/secondary peak is <1000, then the time is considered to be 60 points; if neither of the above conditions is satisfied, it is considered that the score is 20 at this time.
The signal quality evaluation (SQI) can be carried out in a time domain mode or a frequency domain mode, if the time domain mode or the frequency domain mode is adopted, the time domain mode and the frequency domain mode are calculated in a percentage system, and if the time domain mode and the frequency domain mode are combined, the time domain mode and the frequency domain mode are respectively multiplied by a weight coefficient of 0.5.
In some embodiments, two set thresholds are obtained by the quality evaluation coefficient, including a first threshold and a second threshold, wherein the first threshold is smaller than the second threshold; when the quality evaluation coefficient is smaller than a first threshold value, setting a hard threshold value for a target pressure value; when the quality evaluation coefficient is greater than or equal to a first threshold value and less than or equal to a second threshold value, performing soft threshold setting on a target pressure value; and when the quality evaluation coefficient is larger than a second threshold value, performing soft threshold value setting on the target pressure value and outputting the blood pressure value calculated by pressurization as a blood pressure measurement result.
Specifically, referring to fig. 3, two threshold values T1 and T2 are obtained through SQI calculation, T1 is 60, T2 is 80, and three threshold intervals smaller than T1, (T1, T2) and larger than T2 are used for evaluating the blood pressure value obtained by the current pressurization method, and when the signal quality is smaller than T1, the blood pressure value calculated by the current pressurization method is not used, and a soft threshold setting mode is not performed on the target pressure value; if the signal quality is between T1 and T2, the blood pressure value calculated by the pressurization method is not used, but soft threshold setting is carried out on the target pressure value; if the signal quality is greater than T2, the blood pressure results calculated using the pressurization mode are used and set using the target pressure soft threshold mode.
If the SQI is greater than T1, generating movement when the target pressure value is not reached and generating a pulse-like signal, determining the signal type of the pulse-like signal according to the position of the pulse-like signal generated at the moment and the strength of the signal, and continuing the subsequent measurement step if the pulse signal is generated; if the pressure signal is a movement signal, the system firstly gives corresponding movement prompt information and gives movement prompt to prevent the testee from further moving, then judges whether the pressure at the moment reaches the target pressure set in a soft threshold mode, and if the pressure signal is a movement signal, the system can directly determine whether the pressure value is calculated by directly using a pressurization mode or the deflation measurement according to the range to which the SQI at the moment belongs; if the target pressure set by the soft threshold has not been reached, the inflation is continued at this point and the subsequent measurement operation is performed. In the embodiment, the anti-exercise capacity of the system is improved in the inflation process, the blood pressure value is calculated in a pressurization mode, then the position where the pulse wave appears is judged, then whether the pulse wave is the real pulse wave is judged, and then the system performs the next operation to determine whether the next inflation is needed or the blood pressure measurement in the deflation stage is directly performed.
Referring to fig. 4, if the SQI belongs to (T1, T2), motion occurs in the state that the pulse is completely closed, at this time, the system will give a motion prompt first, which prompts the subject to stop moving, then the system will continue to deflate, and will recognize the motion signal as an invalid signal and not be used as the basis for the subsequent blood pressure calculation; if the movement occurs between the systolic pressure and the diastolic pressure, at the moment, the system gives a movement prompt to prompt the subject to stop moving, then the deflation is continued, and the movement signal is identified as an invalid signal and is not used as the basis for the subsequent blood pressure calculation; if the movement occurs between the average pressure and the diastolic pressure, at this time, the system gives a movement prompt to prompt the subject to stop moving, then the deflation is continued, and the movement signal is identified as an invalid signal and is not used as the basis for the subsequent blood pressure calculation; if the position where the movement occurs is less than the diastolic pressure, the movement signal is identified as an invalid signal at the moment and is not used as the basis for the subsequent blood pressure calculation, and the blood pressure measurement is directly finished to output the blood pressure calculation result. In the embodiment, the blood pressure measurement precision in the deflation stage is improved, and the blood pressure value is already calculated in the inflation stage in a related signal processing mode, so that whether the pulse signal is generated by movement or not can be directly reversely deduced in the subsequent deflation stage, and the blood pressure measurement accuracy in the deflation stage is further improved.
The embodiment of the invention sets the target pressure by using the setting mode of the target pressure soft threshold value, thereby improving the efficiency of blood pressure measurement. Actually, the oscillometric method for measuring blood pressure can be divided into a pressurizing stage measurement and a depressurizing stage measurement, the depressurizing stage measurement is the traditional deflation measurement mode, in order to ensure that the target inflation pressure can be accurately determined each time, relevant signal processing means are adopted to extract pulse signals in the inflating stage, firstly, the quality of the extracted pulse signals is judged, then, the blood pressure value is determined through an amplitude coefficient method, a qualitative method and a pressure envelope curve inflection point method, the calculated blood pressure value is fed back to a pressure control system, the setting of the target pressure value is finally completed, the accurate control of the inflation target pressure is further achieved, and the efficiency of blood pressure calculation is improved.
Corresponding to the foregoing embodiments, the present invention also provides system embodiments. For the system embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment for relevant points.
Referring to fig. 5, the blood pressure measurement optimizing system according to the embodiment of the present invention includes: the pulse signal extraction module is used for extracting pulse signals in the pressure mixing curve and processing the pulse signals to obtain an envelope curve of the change trend of the pulse signals; the blood pressure calculation module is used for calculating blood pressure based on the envelope curve to obtain a blood pressure value; the signal quality evaluation module is used for analyzing based on the pulse signals to obtain the quality evaluation coefficients of the pulse signals; the judging module is used for comparing the quality evaluation coefficient with a set threshold value and determining whether to use the blood pressure value calculated by pressurization at this time and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method.
In some embodiments, the system of embodiments of the present invention further comprises a pressure control system for completing the setting of the target pressure value based on the calculated blood pressure value. The embodiment achieves the accurate control of the inflation target pressure and improves the efficiency of blood pressure calculation.
Although specific embodiments have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, systems, and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include higher level programming languages may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. A blood pressure measurement optimization method is characterized by comprising the following steps:
acquiring a pressure mixing curve in the inflating process, extracting pulse signals in the pressure mixing curve, and processing to obtain an envelope curve of the pulse signal variation trend;
calculating blood pressure based on the envelope curve to obtain a blood pressure value;
analyzing based on the pulse signals to obtain quality evaluation coefficients of the pulse signals;
comparing the quality evaluation coefficient with a set threshold value, and determining whether to use the blood pressure value calculated by the pressurization and whether to set a soft threshold value for a target pressure value;
and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method.
2. The blood pressure measurement optimization method according to claim 1, wherein comparing the quality evaluation coefficient with a set threshold value, and determining whether to use the blood pressure value calculated by the present pressurization and whether to soft threshold the target pressure value includes:
obtaining two set thresholds including a first threshold and a second threshold through the quality evaluation coefficient, wherein the first threshold is smaller than the second threshold;
when the quality evaluation coefficient is smaller than the first threshold value, setting a hard threshold value for a target pressure value;
when the quality evaluation coefficient is greater than or equal to the first threshold and less than or equal to the second threshold, performing soft threshold setting on a target pressure value;
and when the quality evaluation coefficient is larger than the second threshold value, performing soft threshold setting on a target pressure value and outputting the blood pressure value calculated by pressurization as a blood pressure measurement result.
3. The method for optimizing blood pressure measurement according to claim 2, wherein determining to perform the calculation of the blood pressure by the decompression method when the quality evaluation coefficient is equal to or less than the second threshold value includes: and acquiring a pulse signal in the deflation process, and analyzing the pulse signal to obtain a blood pressure value measured by a decompression method.
4. The blood pressure measurement optimization method according to claim 1, wherein the decompression method blood pressure calculation includes: during deflation, an anti-motion strategy is adopted for motion disturbance, comprising the following steps:
if the motion signal is in a state that the pulse is completely closed, between the systolic pressure and the diastolic pressure or between the average pressure and the diastolic pressure, giving a motion prompt to prompt the subject to stop moving, then continuing to deflate, and identifying the motion signal as an invalid signal which is not used as the basis for subsequent blood pressure calculation;
and if the position where the motion signal appears is smaller than the diastolic pressure, identifying the motion signal as an invalid signal which is not used as the basis for the subsequent blood pressure calculation, and directly ending the blood pressure measurement and outputting the blood pressure calculation result.
5. The blood pressure measurement optimization method according to claim 1, wherein the soft threshold setting includes: and feeding the blood pressure value back to a pressure control system, and setting a target pressure value by the pressure control system according to the blood pressure value.
6. The method of optimizing blood pressure measurement according to claim 1, further comprising eliminating motion disturbances during inflation, comprising:
when the target pressure value is not reached, movement occurs and a pulse-like signal is generated, and the signal type of the pulse-like signal is determined according to the position where the pulse-like signal occurs and the strength of the pulse signal;
if the pulse signal is the pulse signal, continuing to perform the subsequent measurement step;
if the pressure value is a movement signal, corresponding movement prompt information is given, movement reminding is given, then whether the pressure at the moment reaches a target pressure set in a soft threshold mode or not is judged, and if the pressure at the moment reaches the target pressure set in a soft threshold mode, the blood pressure value or the rebreathing measurement which is directly calculated by using a pressurization mode is determined according to the range of the quality evaluation coefficient at the moment; if the target pressure set by the soft threshold has not been reached, the inflation is continued and the subsequent measurement operation is performed.
7. The method for optimizing blood pressure measurement according to claim 1, wherein extracting the pulse signals in the pressure mixture curve and processing the extracted pulse signals to obtain an envelope curve of the variation trend of the pulse signals comprises:
extracting the pulse signals in the mixed pressure curve by adopting a relevant time domain or frequency domain mode, and extracting time domain and frequency domain characteristics of the pulse signals by adopting a time domain or frequency domain or time domain and frequency domain combined computing mode after the pulse signals are obtained;
and operating the characteristics of the pulse signals by adopting a linear or nonlinear interpolation mode to finally obtain an envelope curve of the pulse signal variation trend.
8. The method of claim 1, wherein analyzing the pulse signal to obtain a quality assessment factor of the pulse signal comprises: analyzing in a time domain or frequency domain or time domain and frequency domain combined mode;
the time domain mode comprises the following steps:
respectively calculating the peak amplitude variation degree, the valley amplitude variation degree, the peak-peak interval variation degree, the valley-valley interval variation degree and the peak-valley interval variation degree of the pulse signals by analyzing the pulse characteristics of the pulse signals, and giving a score of signal quality;
the frequency domain method comprises the following steps:
and (3) analyzing the amplitude-frequency characteristics of the pulse signals, judging whether the frequency corresponding to the maximum amplitude is consistent with the pulse rate or not, and calculating the ratio of the maximum peak value to the secondary peak value to give a score of the signal quality.
Time domain and frequency domain combined mode
And calculating to give a final signal quality score according to the signal quality score calculated in the time domain, the signal quality score calculated in the frequency domain and the corresponding weight.
9. A blood pressure measurement optimization system, comprising:
the pulse signal extraction module is used for extracting pulse signals in the pressure mixing curve and processing the pulse signals to obtain an envelope curve of the change trend of the pulse signals;
the blood pressure calculation module is used for calculating blood pressure based on the envelope curve to obtain a blood pressure value;
the signal quality evaluation module is used for analyzing based on the pulse signals to obtain a quality evaluation coefficient of the pulse signals;
the judging module is used for comparing the quality evaluation coefficient with a set threshold value and determining whether to use the blood pressure value calculated by pressurization at this time and whether to set a soft threshold value for a target pressure value; and comparing the quality evaluation coefficient with a set threshold value to determine whether to calculate the blood pressure by the decompression method.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 8.
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