CN102258364A - Pulse wave identification method, system and artery function detection instrument - Google Patents
Pulse wave identification method, system and artery function detection instrument Download PDFInfo
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Abstract
The invention is applied in the technical field of medical detection, and provides a pulse wave identification method, a pulse wave identification system and an artery function detection instrument. The identification method comprises the following steps of: acquiring pulse wave waveform data on a human body; performing slope calculation on the pulse wave waveform data, and judging whether two continuous slope values greater than a preset slope threshold value exist, if so, defining one point as a rising point; and forwards seeking a zero crossing point as a starting point and backwards seeking a zero crossing point as an end point from the position of the rising point in the calculated slope values, respectively identifying the starting point and the end point as an ascending limb starting point of an aortic valve opening point and a maximum pressure point of a contraction period, and further identifying the rest characteristic points. According to the unique slope characteristic of the rising wave band of the ascending limb starting point of the aortic valve opening point and the maximum pressure point of the contraction period in the pulse wave waveform, the quality of the acquired pulse wave waveform can meet the requirements is ensured, and accurate and reliable parameters are provided for calculation of pulse wave velocity (PWV) and/or heart rate parameters.
Description
Technical field
The invention belongs to medical detection technology, relate in particular to a kind of pulse wave recognition methods, system and arterial function detecting instrument.
Background technology
Arteriosclerosis is the complication that links together with hypertension, obesity, diabetes, hyperlipidemia etc., can cause cardiovascular disease and apoplexy etc., and the major reason that cardiovascular disease and apoplexy are caused a disease and disabled just, and increase just with surprising rapidity at present, along with the development trend of China's aged tendency of population, this problem will be more and more serious.Therefore check out in early days the arteriosclerosis shape and carry out preventive measure and just seem particularly important.
The large artery trunks functional status is the important indicator of prevention and diagnosis of cardiovascular relevant disease, and large artery trunks stiffness index and stenosis are the powerful predictive factorses of the potential pathological changes of body.Wherein (Pulse WaveVelocity, PWV) index is used to assess arterial stiffness to pulse wave velocity, and the detection of this index is had important effect for examination and assessment arteriosclerosis.
The parameter that is used to calculate the pulse wave velocity index comprises the parameter of 6 characteristic points of pulse wave, these 6 characteristic points are respectively the opening of aortic valve point and rise a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force, therefore correctly identifying these 6 characteristic points on pulse waveform just seems particularly important, and the prerequisite of correct identification will guarantee that at first the pulse waveform quality that collects meets the demands.
Summary of the invention
The purpose of the embodiment of the invention is to provide a kind of pulse wave recognition methods, is intended to prerequisite that the pulse waveform quality can the meet the demands identification characteristic point wherein of going down.
The embodiment of the invention is achieved in that a kind of pulse wave recognition methods, may further comprise the steps:
Collect the pulse waveform data in human body;
The pulse waveform data that collect are carried out slope calculate, judge whether to exist two successive slope value,, will wherein be defined as rising point if exist greater than default slope threshold value;
In the slope value that calculates, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point;
The beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
The embodiment of the invention also provides a kind of pulse wave recognition system, comprising:
The rising point identification module is used for that the pulse waveform data that collect are carried out slope and calculates, and judges whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point;
The characteristic point identification module, be used for the slope value that calculates at described rising point identification module, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
The embodiment of the invention also provides a kind of arterial function detecting instrument, comprising:
Some pulse wave sensors are used to gather human pulse wave-wave graphic data;
Main frame, be connected with described some pulse wave sensors, the human pulse wave-wave graphic data that is used for that described some pulse wave sensors are collected is carried out slope calculating, judges whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point; Also be used for the slope value that calculating, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively; Also be used for rising pulse wave velocity PWV and/or the hrv parameter that human body is calculated in a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force according to the opening of aortic valve point that identifies.
Embodiment of the invention opening of aortic valve point from pulse waveform rises unique slope characteristics that a starting point and systole maximum pressure are put residing rising wave band, to include the starting point of rising wave band of continuous at least two slope value that increase progressively and terminal point is identified as the opening of aortic valve point and rises a starting point and systole maximum pressure point, can guarantee that the pulse waveform quality that collects can meet the demands, and start with thus and identify remaining characteristic point, thereby provide parameter accurately and reliably for the calculating of pulse wave velocity PWV and/or hrv parameter.
Description of drawings
Fig. 1 is the realization flow figure of the pulse wave recognition methods that provides of the embodiment of the invention;
Fig. 2 is the pulse waveform sketch map that the embodiment of the invention provides;
Fig. 3 is the structure principle chart of the pulse wave recognition system that provides of the embodiment of the invention;
Fig. 4 is the structure principle chart of the arterial function detecting instrument that provides of the embodiment of the invention.
The specific embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
In the embodiment of the invention, the opening of aortic valve point rises unique slope that a starting point and systole maximum pressure are put residing rising wave band from pulse waveform, to include the starting point of rising wave band of continuous at least two slope value that increase progressively and terminal point and be identified as the opening of aortic valve point and rise a starting point and systole maximum pressure point, and start with thus and identify remaining characteristic point.
Fig. 1 shows the realization flow of the pulse wave recognition methods that the embodiment of the invention provides, and details are as follows:
In step S101, collect the pulse waveform data in human body.
In the embodiment of the invention, the pulse waveform data can collect from carotid artery, radial artery, femoral artery and the distal artery of human body, and can calculate thus the propagation time of pulse wave from carotid artery-radial artery, carotid artery-femoral artery, carotid artery-distal artery, be pulse wave velocity (Pulse Wave Velocity, PWV), can be used for assessing arterial stiffness.The parameter that is used to calculate the pulse wave velocity index comprises that the opening of aortic valve point of pulse wave rises 6 characteristic point parameters such as a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force.Also can calculate simultaneously the hrv parameter of human body by above-mentioned 6 characteristic points.
In step S102, the pulse waveform data that collect are carried out slope calculate, judge whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point.
As shown in Figure 2, comprise a plurality of ascent stages such as B-C, D-E, F-G in the pulse waveform, wherein the ascent stage of B-C has the slope characteristics different with all the other ascent stages, include at least two successive slope value in the B-C section greater than default slope threshold value, so the embodiment of the invention is started with from above-mentioned characteristic and is identified the B-C section the ascent stage at the pulse wave that finds.
In the embodiment of the invention, an at first default slope threshold value P identifies the pulse wave ascent stage, in waveform, gather a plurality of points and slope calculations value, if that finds a certain wave band includes continuous at least two slope value greater than predetermined threshold value P, then the point corresponding with one of them slope value is defined as rising point.
In step S103, in the slope value that calculates, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point.
As indicated above, in the ascent stage of pulse waveform, the slope characteristics that the slope characteristics of B-C section is different with all the other ascent stages, B-C section comprise the greatest gradient value of ascent stage.Present embodiment adopts the self study threshold value to discern whether this ascent stage is the B-C section, suppose that the slope value that some some B1 in this ascent stage puts B2 to its next one is N1, if N1 is greater than P, the threshold value that N1 is obtained as self study then, B2 is N2 to the slope value of its next some B2, if N2 greater than N1, illustrates that then this ascent stage is the B-C section, this ascent stage starting point and terminal point promptly are respectively the opening of aortic valve point and rise a starting point and systole maximum pressure point.
In step S104, systole maximum pressure point beginning zero crossing backward in the pulse waveform data is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
One of ordinary skill in the art will appreciate that all or part of step that realizes in the foregoing description method can instruct relevant hardware to finish by program, described program can be stored in the computer read/write memory medium, and described storage medium can be ROM/RAM, disk, CD etc.
Fig. 3 shows the structural principle of the pulse wave recognition system that the embodiment of the invention provides, and for convenience of description, only shows the part relevant with present embodiment.This recognition system can be the software unit that is built in the arterial function detecting instrument.
With reference to Fig. 3, the human pulse wave-wave graphic data that 31 pairs of rising point identification modules collect is carried out slope calculating, judges whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point.Characteristic point identification module 32 is in the slope value that described rising point identification module calculates, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
Wherein recognition principle is as indicated above, repeats no more herein.
Fig. 4 shows the structural principle of the arterial function detecting instrument that the embodiment of the invention provides, and for convenience of description, equally only shows the part relevant with present embodiment.
With reference to Fig. 4, the pulse artery Function detection instrument that the embodiment of the invention provides comprises main frame 41, some pulse wave sensor 421-42n at least, wherein pulse wave sensor 421-42n is used to gather human pulse wave-wave graphic data, and the waveform that collects transferred to connected main frame 41, pin with hands during concrete enforcement pulse wave sensor 421-42n is fixed on the corresponding site, also can adopt cingulum that pulse wave sensor 421-42n is bound by wrist and sole/back or pulse wave sensor 421-42n is fixed on the wrist with clip.Main frame 41 judges whether the human pulse wave-wave shape quality that pulse wave sensor 421-42n collects meets the demands, and the opening of aortic valve point that identifies pulse waveform after judgement meets the demands rises characteristic points such as a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force, and characteristic point is calculated the PWV and/or the hrv parameter of human body in view of the above.
Wherein main frame 41 judges that the mode of waveform quality and recognition feature point is as follows: at first the human pulse wave-wave graphic data that some pulse wave sensors are collected is carried out slope calculating, judge whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point; Also be used for the slope value that calculating, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively; Also be used for rising pulse wave velocity PWV and/or the hrv parameter that human body is calculated in a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force according to the opening of aortic valve point that identifies.
1, PWV is exactly that waveform is propagated in radial artery, femoral artery, distal artery and the time difference of the propagation in carotid artery, collect pulse wave from carotid artery, radial artery, femoral artery, distal artery respectively, wherein the pulse wave of everywhere includes a plurality of wave periods, and each wave period includes 6 characteristic points mentioned above.At first on the basis that finds according to every the tremulous pulse quality point in front, judge that by method every tremulous pulse participates in calculating the quality point of PWV, B point, C point or the B-C that can select the B-C ascent stage among Fig. 2 in the ascent stage continuous two slope value greater than one of two points of threshold value P.The quality point array of every tremulous pulse that hypothesis participation is here calculated is respectively: JQTArr[N] (carotid artery), GQTArr[N] (femoral artery), YDQTArr[N] (distal artery), NQTArr[N] t (radial artery).
PWV (neck-oar):
All corresponding mass point difference sums between neck-radial artery are:
Neck--radial artery propagation time meansigma methods (PWV):
PWV (neck-oar)=SumJ-N/N.
PWV (neck-far away):
All corresponding mass point difference sums between neck-telemechanical feeling pulse are:
Neck-telemechanical arteries and veins propagation time meansigma methods (PWV):
PWV (neck-far away)=SumJ-Y/N.
PWV (neck-thigh):
All corresponding mass point difference sums between neck-femoral artery are:
Neck-femoral artery propagation time meansigma methods (PWV):
PWV (neck-thigh)=SumJ-G/N.
2, the computing formula of heart rate is the average RR of HR=60000/, and the front main algorithm is to look for the characteristic point quality point, judge that according to quality point waveform quality is good after, the quality point of each waveform of appearance is in the quality point array after beginning to preserve.Be example with the pulse waveform that collects in carotid artery in the embodiment of the invention, this waveform comprises a plurality of wave periods, each wave period includes 6 characteristic points mentioned above, choose the B point and calculate, the meaning of RR is the difference sum that B is ordered in a B point from each wave period that second period begins and the last wave period.Here establishing and preserving the quality point array is PointArr[N], remember between the rising point of preserving in this array that difference RRi and summation are SumRR, the RR interval, calculated correlation formula and is:
RR[i]＝PointArr[i+1]-PointArr[i](i＝1，2.....N-1)
RR＝SumRR/N-1。
The prerequisite that above PWV and heart rate calculate is to find quality point, calculates on the basis of the quality point that finds and preserve.
Further, pulse artery Function detection instrument can also comprise pulse wave collection pedal 43 and/or display 44, wherein pulse wave collection pedal 43 is used for the pulse waveform data that the some pulse wave sensor 421-42n of main control system 41 receptions collect, and display 44 is used for the result of calculation of display waveform quality judged result and PWV/ hrv parameter.
In the embodiment of the invention, the opening of aortic valve point rises unique slope characteristics that a starting point and systole maximum pressure are put residing rising wave band from pulse waveform, to include the starting point of rising wave band of continuous at least two slope value that increase progressively and terminal point is identified as the opening of aortic valve point and rises a starting point and systole maximum pressure point, can guarantee that the pulse waveform quality that collects can meet the demands, and start with thus and identify remaining characteristic point, thereby provide parameter accurately and reliably for the calculating of pulse wave velocity PWV and/or hrv parameter.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.
Claims (6)
1. a pulse wave recognition methods is characterized in that, may further comprise the steps:
Collect the pulse waveform data in human body;
The pulse waveform data that collect are carried out slope calculate, judge whether to exist two successive slope value,, will wherein be defined as rising point if exist greater than default slope threshold value;
In the slope value that calculates, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point;
The beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
2. pulse wave recognition methods as claimed in claim 1 is characterized in that, the step that the human body that is set forth in collects the pulse waveform data is specially:
Carotid artery, radial artery, femoral artery and distal artery place in human body collect the pulse waveform data.
3. a pulse wave recognition system is characterized in that, comprising:
The rising point identification module is used for that the pulse waveform data that collect are carried out slope and calculates, and judges whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point;
The characteristic point identification module, be used for the slope value that calculates at described rising point identification module, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively.
4. an arterial function detecting instrument is characterized in that, comprising:
Some pulse wave sensors are used to gather human pulse wave-wave graphic data;
Main frame, be connected with described some pulse wave sensors, the human pulse wave-wave graphic data that is used for that described some pulse wave sensors are collected is carried out slope calculating, judges whether to exist two successive slope value greater than default slope threshold value, if exist, will wherein be defined as rising point; Also be used for the slope value that calculating, look for zero crossing as starting point, look for zero crossing as terminal point backward forward from the rising point position, this starting point and terminal point are identified as the opening of aortic valve point respectively rise a starting point and systole maximum pressure point, the beginning of systole maximum pressure point described in described pulse waveform data zero crossing backward is identified as aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force respectively; Also be used for rising pulse wave velocity PWV and/or the hrv parameter that human body is calculated in a starting point, systole maximum pressure point, aortectasia hypotensive point, left ventricular diastolic starting point, counter tide ripple starting point and counter tide ripple maximal pressure force according to the opening of aortic valve point that identifies.
5. arterial function detecting instrument as claimed in claim 4 is characterized in that, described arterial function detecting instrument also comprises:
Pulse wave is gathered pedal, and it is connected with described main frame, is used to control described main frame and receives the pulse waveform data that described some pulse wave sensors collect.
6. as claim 4 or 5 described arterial function detecting instruments, it is characterized in that, after the waveform quality of the human pulse ripple that continuous 5 the described some pulse wave sensors of judgement of described main frame collect meets the requirements, calculate the pulse wave velocity PWV and/or the hrv parameter of human body.
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Cited By (7)
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| CN103239218A (en) * | 2013-05-23 | 2013-08-14 | 中国科学院上海微系统与信息技术研究所 | Pulse monitoring device and system |
| CN106377238A (en) * | 2016-11-22 | 2017-02-08 | 浙江脉联医疗设备有限公司 | Correcting method for pulse wave propagation time related to diastolic pressure |
| CN106580299A (en) * | 2015-10-14 | 2017-04-26 | 冯文强 | Signal processing method and device used for heart rate measurement and intelligent watch |
| CN106580303A (en) * | 2016-11-22 | 2017-04-26 | 浙江脉联医疗设备有限公司 | Method for correcting systolic pressure-related pulse wave propagation time |
| WO2018095291A1 (en) * | 2016-11-22 | 2018-05-31 | 浙江脉联医疗设备有限公司 | Correction method for pulse wave propagation time related to diastolic blood pressure and systolic blood pressure |
| CN113827197A (en) * | 2020-06-08 | 2021-12-24 | 华为技术有限公司 | Pulse detection method, terminal equipment and intelligent shoe |
| CN113854976A (en) * | 2021-10-26 | 2021-12-31 | 南京大学 | Automatic screening method for pulse waveform with tidal wave in pulse signal |
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| CN103239218A (en) * | 2013-05-23 | 2013-08-14 | 中国科学院上海微系统与信息技术研究所 | Pulse monitoring device and system |
| CN106580299A (en) * | 2015-10-14 | 2017-04-26 | 冯文强 | Signal processing method and device used for heart rate measurement and intelligent watch |
| CN106377238A (en) * | 2016-11-22 | 2017-02-08 | 浙江脉联医疗设备有限公司 | Correcting method for pulse wave propagation time related to diastolic pressure |
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| WO2018095291A1 (en) * | 2016-11-22 | 2018-05-31 | 浙江脉联医疗设备有限公司 | Correction method for pulse wave propagation time related to diastolic blood pressure and systolic blood pressure |
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| CN113827197A (en) * | 2020-06-08 | 2021-12-24 | 华为技术有限公司 | Pulse detection method, terminal equipment and intelligent shoe |
| CN113854976A (en) * | 2021-10-26 | 2021-12-31 | 南京大学 | Automatic screening method for pulse waveform with tidal wave in pulse signal |
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