CN117883057A - Blood pressure measuring method, system and storage medium combining ascending method and descending method - Google Patents
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- 238000003062 neural network model Methods 0.000 claims abstract description 24
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- 206010020772 Hypertension Diseases 0.000 description 5
- 206010003119 arrhythmia Diseases 0.000 description 3
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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Abstract
The invention discloses a blood pressure measurement method, a blood pressure measurement system and a blood pressure measurement storage medium combining an ascending method and a descending method, and relates to the technical field of noninvasive blood pressure measurement. The invention comprises the following steps: acquiring a first pulse signal set in the pressure increasing process in the cuff pressurizing process; acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process; respectively carrying out denoising pretreatment on the first pulse signal set and the second pulse signal set; extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set, and extracting pulse conduction time corresponding to each digital signal feature vector; inputting the mapping relation between the digital signal characteristic vector and the pulse conduction time into a long-short-period memory neural network model; and the long-term and short-term memory neural network model identifies whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation. The invention can improve the accuracy of blood pressure measurement by respectively measuring the pulse signals under different states.
Description
Technical Field
The invention relates to the technical field of noninvasive blood pressure measurement, in particular to a blood pressure measurement method combining an ascending method and a descending method, a system and a storage medium.
Background
The occurrence of hypertension may cause cardiovascular or renal diseases. The eating habits, irregular life and rest of high salt and multiple oil and the like cause more and more people to suffer from hypertension, and the problem of hypertension is also focused by more and more people.
Hypertension is a chronic disease, and the influence on the body is not obvious, so that many patients cannot easily detect whether the blood pressure is abnormal, but the serious consequences are caused by the cardiovascular disease or the kidney disease once the blood pressure is caused. Blood pressure is often required to be measured or monitored in real time as an important indicator of physical health monitoring. Related studies have shown that routine monitoring and management of patient blood pressure is effective in preventing hypertension and diseases caused thereby. However, a solution which is simple and easy to implement and can measure blood pressure in real time is lacking.
The current blood pressure detection method is susceptible to various noise, so how to provide a simple and effective blood pressure measurement method avoiding noise influence is needed to be researched by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a blood pressure measurement method, system and storage medium combining an ascending method and a descending method, which solve the problems in the background art by combining a digital signal processing technology in a way that the ascending method and the descending method compensate each other.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a blood pressure measuring method combining an ascending method and a descending method comprises the following steps:
acquiring a first pulse signal set in the pressure increasing process in the cuff pressurizing process;
acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
respectively carrying out denoising pretreatment on the first pulse signal set and the second pulse signal set;
extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set, and extracting pulse conduction time corresponding to each digital signal feature vector;
Inputting the mapping relation between the digital signal characteristic vector and the pulse conduction time into a long-short-period memory neural network model;
and the long-term and short-term memory neural network model identifies whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation.
Optionally, the method further comprises the step of drawing a blood pressure image in the blood pressure measuring process according to the output result of the long-term and short-term memory neural network model.
Optionally, the process of acquiring the first pulse signal set and the second pulse signal set is as follows: according to the preset time interval, periodically acquiring pulse signals to obtain a plurality of periodic signals, and arranging the plurality of periodic signals in time sequence to obtain a pulse signal set.
Optionally, the drawing process of the blood pressure image is as follows: and screening turning points of the data by adopting a self-adaptive threshold method, further obtaining a main wave trough and a main wave crest of each period, and intercepting each main wave trough to the main wave crest as a period image.
Optionally, denoising preprocessing is performed on the first pulse signal set and the second pulse signal set respectively, specifically: pulse signals are sequentially processed by a second-order band-pass filter and a signal smoothing algorithm based on wavelet filtering, the second-order band-pass filter is used for cutting off and denoising the characteristics of noise, and the signal smoothing algorithm based on wavelet filtering is used for separating noise from noise.
Alternatively, pulse transit time is the time required for blood to flow from the heart to the measurement point, and the transit time is calculated using features between multiple different signals.
A blood pressure measurement system combining an ascent method and a descent method, comprising the steps of:
A first signal acquisition module: the method comprises the steps of acquiring a first pulse signal set in the process of increasing pressure in the process of pressurizing a cuff;
a second signal acquisition module: the method comprises the steps of acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
and the denoising processing module: the denoising preprocessing is used for respectively denoising the first pulse signal set and the second pulse signal set;
the characteristic signal extraction module: the pulse signal processing device is used for extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set and extracting pulse conduction time corresponding to each digital signal feature vector;
The long-term memory neural network model input module: the method comprises the steps of inputting a mapping relation between a digital signal characteristic vector and pulse conduction time into a long-term and short-term memory neural network model;
the long-term memory neural network model processing module is as follows: is used for identifying whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation.
Optionally, the method further comprises an image drawing module: and the method is used for drawing a blood pressure image in the blood pressure measuring process according to the output result of the long-short-term memory neural network model.
A computer storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of a blood pressure measurement method according to any one of the above-described combinations of ascending and descending methods.
Compared with the prior art, the invention provides the blood pressure measuring method, the system and the storage medium combining the ascending method and the descending method, wherein the blood pressure measuring method has the advantages of rapidness and comfort, but has poor anti-interference capability, and the result error is larger when the interference exists in the measuring process or the measured object has arrhythmia. The descent method adopts a platform to reduce the pressure, has the advantage of strong anti-interference capability, but has long measurement time and poor comfort. Compared with the existing measurement method with only one method, only the ascending method is needed for normal measurement after the two methods are combined, the advantages of rapidness, comfort and accuracy are maintained, the descending method is continuously adopted for measurement when ascending is disturbed or arrhythmia of a measured object is detected, and the accuracy of measurement is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic illustration of a normal blood pressure image of the present invention;
fig. 3 is a schematic view of an abnormal blood pressure image according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a blood pressure measurement method combining an ascending method and a descending method, which is shown in fig. 1 and comprises the following steps:
s1: acquiring a first pulse signal set in the pressure increasing process in the cuff pressurizing process;
S2: acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
s3: respectively carrying out denoising pretreatment on the first pulse signal set and the second pulse signal set;
S4: extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set, and extracting pulse conduction time corresponding to each digital signal feature vector;
S5: inputting the mapping relation between the digital signal characteristic vector and the pulse conduction time into a long-short-period memory neural network model;
s6: and the long-term and short-term memory neural network model identifies whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation.
Further, the embodiment further comprises drawing a blood pressure image in the blood pressure measuring process according to the output result of the long-term and short-term memory neural network model.
Further, the drawing process of the blood pressure image is as follows: and screening turning points of the data by adopting a self-adaptive threshold method, further obtaining a main wave trough and a main wave crest of each period, and intercepting each main wave trough to the main wave crest as a period image.
Further, in S1 and S2, the process of acquiring the first pulse signal set and the second pulse signal set is as follows: according to the preset time interval, periodically acquiring pulse signals to obtain a plurality of periodic signals, and arranging the plurality of periodic signals in time sequence to obtain a pulse signal set.
Further, in S3, denoising preprocessing is performed on the first pulse signal set and the second pulse signal set, specifically: pulse signals are sequentially processed by a second-order band-pass filter and a signal smoothing algorithm based on wavelet filtering, the second-order band-pass filter is used for cutting off and denoising the characteristics of noise, and the signal smoothing algorithm based on wavelet filtering is used for separating noise from noise.
Further, in S5, the pulse transit time is the time required for blood to flow from the heart to the measurement point, and the transit time is calculated using the characteristics between the multiple different signals. The present embodiment selects two pulse transit times, PATro and PATrb, from the ECG and finger tip position pulse two-way signal extraction of the heart position.
Further, the formation of blood pressure is mainly determined by three factors, namely blood volume, peripheral resistance and elasticity of the blood vessel wall. For the same individual, there is no significant change in peripheral resistance or vessel wall elasticity within a short period of time, and this is considered to be a constant value, in which case the magnitude of blood pressure is determined mainly by blood volume. The PPG signal reflects the periodic variation of the intravascular blood volume, and for multiple paths of PPG signals or multiple paths of signals of the PPG signal and the ECG signal, the pulse propagation velocity can be calculated to construct a relationship model between the PPG signal and the blood pressure. In the embodiment, a long-term and short-term memory neural network model is selected to complete the construction of the relationship between the pulse signals and the blood pressure.
Specifically, in the present embodiment, first, the arm wears the cuff, and the apparatus starts inflation so that the cuff pressure rises at a constant speed of about 10 mmHg/s. And detecting the pressure pulse wave which is extracted by the change of the air pressure in the blood pressure cuff, obtaining a blood pressure value by adopting a coefficient method under the condition that the detected pulse wave amplitude can form a typical envelope curve and the amplitude intervals are uniform, and ending the measurement. As shown in fig. 2.
If the detected pulse wave amplitude forms an atypical envelope or the amplitude intervals are not uniform (as shown in fig. 3), the phenomenon that the measured object is disturbed or has arrhythmia in the blood pressure measurement process is indicated. And when the arterial blood flow is detected to be blocked, the pressure is reduced by adopting a platform method to continue measurement.
The embodiment also discloses a blood pressure measurement system combining an ascending method and a descending method, which comprises the following steps:
A first signal acquisition module: the method comprises the steps of acquiring a first pulse signal set in the process of increasing pressure in the process of pressurizing a cuff;
a second signal acquisition module: the method comprises the steps of acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
and the denoising processing module: the denoising preprocessing is used for respectively denoising the first pulse signal set and the second pulse signal set;
the characteristic signal extraction module: the pulse signal processing device is used for extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set and extracting pulse conduction time corresponding to each digital signal feature vector;
The long-term memory neural network model input module: the method comprises the steps of inputting a mapping relation between a digital signal characteristic vector and pulse conduction time into a long-term and short-term memory neural network model;
the long-term memory neural network model processing module is as follows: is used for identifying whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation.
Further, the method also comprises an image drawing module: and the method is used for drawing a blood pressure image in the blood pressure measuring process according to the output result of the long-short-term memory neural network model.
The embodiment also discloses a computer storage medium, and the computer storage medium stores a computer program, and the computer program realizes the steps of the blood pressure measurement method combining any one of the ascending method and the descending method when being executed by a processor.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A blood pressure measurement method combining an ascending method and a descending method, comprising the steps of:
acquiring a first pulse signal set in the pressure increasing process in the cuff pressurizing process;
acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
respectively carrying out denoising pretreatment on the first pulse signal set and the second pulse signal set;
extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set, and extracting pulse conduction time corresponding to each digital signal feature vector;
Inputting the mapping relation between the digital signal characteristic vector and the pulse conduction time into a long-short-period memory neural network model;
and the long-term and short-term memory neural network model identifies whether the blood pressure is lower than a normal blood pressure threshold value or not and whether the blood pressure is higher than the normal blood pressure threshold value or not according to the mapping relation.
2. The method for measuring blood pressure by combining an ascending method and a descending method according to claim 1, further comprising drawing a blood pressure image during blood pressure measurement according to an output result of the long-short-term memory neural network model.
3. The method for measuring blood pressure by combining an ascending method and a descending method according to claim 1, wherein the first pulse signal set and the second pulse signal set are obtained as follows: according to the preset time interval, periodically acquiring pulse signals to obtain a plurality of periodic signals, and arranging the plurality of periodic signals in time sequence to obtain a pulse signal set.
4. The method for measuring blood pressure by combining an ascending method and a descending method according to claim 2, wherein the drawing process of the blood pressure image is as follows: and screening turning points of the data by adopting a self-adaptive threshold method, further obtaining a main wave trough and a main wave crest of each period, and intercepting each main wave trough to the main wave crest as a period image.
5. The method for measuring blood pressure by combining an ascending method and a descending method according to claim 1, wherein denoising pretreatment is performed on the first pulse signal set and the second pulse signal set respectively, specifically: pulse signals are sequentially processed by a second-order band-pass filter and a signal smoothing algorithm based on wavelet filtering, the second-order band-pass filter is used for cutting off and denoising the characteristics of noise, and the signal smoothing algorithm based on wavelet filtering is used for separating noise from noise.
6. A combined ascending and descending blood pressure measurement according to claim 1 wherein pulse transit time is the time required for blood to flow from the heart to the measurement point, the transit time being calculated using features between multiple different signals.
7. A blood pressure measurement system combining an ascent method and a descent method, comprising the steps of:
A first signal acquisition module: the method comprises the steps of acquiring a first pulse signal set in the process of increasing pressure in the process of pressurizing a cuff;
a second signal acquisition module: the method comprises the steps of acquiring a second pulse signal set in the pressure reduction process in the cuff pressure release process;
and the denoising processing module: the denoising preprocessing is used for respectively denoising the first pulse signal set and the second pulse signal set;
the characteristic signal extraction module: the pulse signal processing device is used for extracting digital signal feature vectors of the first pulse signal set and the second pulse signal set and extracting pulse conduction time corresponding to each digital signal feature vector;
The long-term memory neural network model input module: the method comprises the steps of inputting a mapping relation between a digital signal characteristic vector and pulse conduction time into a long-term and short-term memory neural network model;
the long-term memory neural network model processing module is as follows: is used for identifying whether the blood pressure is lower than normal blood pressure or higher than normal blood pressure according to the mapping relation.
8. The system for measuring blood pressure by combining an ascending method and a descending method according to claim 7, further comprising an image drawing module: and the method is used for drawing a blood pressure image in the blood pressure measuring process according to the output result of the long-short-term memory neural network model.
9. A computer storage medium, wherein a computer program is stored on the computer storage medium, and when executed by a processor, the computer program implements the steps of a blood pressure measurement method according to any one of claims 1-6, in combination with a rising method and a falling method.
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