CN110881956A - Heart physiological parameter measuring method, device, terminal and computer storage medium - Google Patents
Heart physiological parameter measuring method, device, terminal and computer storage medium Download PDFInfo
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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
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Abstract
The invention provides a method, equipment, a terminal and a computer storage medium for measuring heart physiological parameters, wherein the method is applied to an information acquisition device provided with a vibration sensitive sensor and comprises the following steps: respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information; determining a reference AVC time point for an AVC event based on the first hemodynamic-related information; determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
Description
Technical Field
The invention relates to the field of measurement of heart physiological parameters, in particular to a heart physiological parameter measuring method, device, terminal and computer storage medium.
Background
The way in which the commonly used cardiac function tests acquire parameters is generally divided into two broad categories, the way in which acquisition is based on invasive testing and the way in which acquisition is based on non-invasive testing.
Wherein the manner of acquiring based on the invasive detection comprises acquiring physiological parameters of the heart by means of cardiac catheter techniques, such as coronary angiography; this method of acquiring parameters based on invasive testing is likely to cause damage to the test subject and is inconvenient for repeated testing. The methods for acquiring parameters based on non-invasive detection include methods for generating an electrocardiogram/phonocardiogram, etc., which require a sensor to be attached to a predetermined position on the skin of a human body, and thus, a certain psychological burden is imposed on a detection subject due to long-term use.
In summary, the method of obtaining cardiac function parameters by invasive or non-invasive detection both have physiological or psychological effects on the detected object, and thus is not suitable for long-term detection.
Disclosure of Invention
In view of this, the present invention provides a method, an apparatus, a terminal and a computer storage medium for measuring cardiac physiological parameters, which provide a method for measuring parameters that is almost insensitive to a user by detecting a subject lying on an information acquisition device, and which do not cause trauma to the detected subject, and do not cause physiological or psychological effects, and are advantageous for long-term detection.
The invention proposes the following specific embodiments:
the embodiment of the invention provides a method for measuring physiological parameters of a heart, which is applied to an information acquisition device provided with a vibration sensitive sensor and comprises the following steps:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
determining a reference AVC time point for an AVC event based on the first hemodynamic-related information;
determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
In a particular embodiment, the vibration sensitive sensor is one or more of an acceleration sensor, a velocity sensor, a displacement sensor, a pressure sensor, a strain sensor, a stress sensor, or a sensor that equivalently transforms a physical quantity based on acceleration, velocity, pressure, or displacement.
In a specific embodiment, the strain sensor is a fiber optic sensor.
In a specific embodiment, the shoulder vibration sensitive sensors include a left shoulder vibration sensitive sensor and a right shoulder vibration sensitive sensor;
the left shoulder vibration sensitive sensor is configured to be placed under a left shoulder blade of the subject;
the right shoulder vibration sensitive sensor is configured to be placed under a right shoulder blade of the subject.
In a particular embodiment of the present invention,
the sensing area of the left shoulder vibration sensitive sensor covers the shoulder area corresponding to the left shoulder blade of the object to be detected;
and the sensing area of the right shoulder vibration sensitive sensor covers the shoulder area corresponding to the right shoulder blade of the object to be detected.
In a specific embodiment, the "generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively" includes:
generating first hemodynamic-related information and second hemodynamic-related information by respectively preprocessing the back vibration information and the shoulder vibration information; wherein the preprocessing comprises at least one of filtering, denoising and signal scaling.
In a specific embodiment, the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information" includes:
performing high-frequency component extraction on the first hemodynamics-related information to obtain a first high-frequency component signal waveform curve corresponding to the first hemodynamics-related information;
and performing feature search on the first high-frequency component signal waveform curve by a feature search method to determine a reference AVC time point of an AVC event from the first high-frequency component signal waveform curve.
In a specific embodiment, when the vibration sensitive sensor is an optical fiber sensor, the first high frequency component signal waveform profile includes: a second order differential wave curve or a fourth order differential curve;
in a specific embodiment, the "performing a feature search on the first high-frequency component signal waveform profile by a feature search method to determine a reference AVC time point of an AVC event from the first high-frequency component signal waveform profile" includes:
determining an M-shaped characteristic peak group in the first high-frequency component signal waveform curve by a characteristic search method;
determining a reference AVC time point for an AVC event based on the "M" -shaped feature peak groups.
In a specific embodiment, when the first high-frequency component signal profile is a second-order differential profile, the "determining a reference AVC time point of an AVC event based on the" M "-shaped feature peak group" includes:
selecting a first peak in the M-shaped characteristic peak group as a reference AVC time point of an AVC event;
when the first high-frequency component signal profile is a fourth-order differential profile, the "determining a reference AVC time point of an AVC event based on the" M "-shaped feature peak group" includes:
and selecting the first trough in the M-shaped characteristic peak group as a reference AVC time point of the AVC event.
In a specific embodiment, the first hemodynamic-related information is a plurality of;
the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information," comprising:
respectively determining a first AVC feature point of an AVC event on a high-frequency component signal waveform curve corresponding to each piece of first hemodynamic related information aiming at each piece of first hemodynamic related information;
and placing the waveform curves of the high-frequency component signals on the same time axis for synchronization so as to synthesize the points of the first AVC characteristic points in time to determine the reference AVC time points.
In a specific embodiment, the "determining an AVC feature point for an AVC event based on the reference AVC time point and the second right shoulder hemodynamic related information" includes:
respectively placing high-frequency component signal waveform curves corresponding to the first hemodynamic related information and the second hemodynamic related information of the right shoulder on the same time axis for synchronization;
determining a reference point which is on the same time with the reference AVC time point in a high-frequency component signal waveform curve corresponding to the second right shoulder hemodynamic related information;
and selecting a first trough or a first peak on the left side of the reference point from a high-frequency component signal waveform curve corresponding to the second hemodynamic related information of the right shoulder as an AVC feature point of an AVC event.
In a specific embodiment, when the first trough or the first peak on the left side of the reference point cannot be determined in the waveform curve of the high-frequency component signal corresponding to the second hemodynamic-related information on the right shoulder, the reference AVC time point is taken as the AVC time point of the AVC event.
In a specific embodiment, the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information" includes:
graphically displaying the first hemodynamic-related information; and displaying prompt information on a graphical display interface; wherein, the prompt information is used for prompting the calibration of the reference AVC time point of the AVC event
Determining a manually calibrated point on the graphical display interface;
the point is set as a reference AVC time point of an AVC event.
In a particular embodiment, the shoulder vibration sensitive sensor comprises: a left shoulder vibration sensitive sensor configured to be placed under a left shoulder of the object to be measured and a right shoulder vibration sensitive sensor configured to be placed under a right shoulder of the object to be measured;
the second hemodynamic-related information comprises left shoulder second hemodynamic-related information generated from left shoulder vibration information;
the method further comprises the following steps:
performing second-order differential processing based on the second hemodynamic information of the left shoulder to generate a second-order differential curve;
setting the highest peak of the second order differential curve in one cardiac cycle as the AVO characteristic point of the AVO event.
In a specific embodiment, the method further comprises:
synchronizing the left shoulder second hemodynamic related information and the right shoulder second hemodynamic related information on the same time axis;
and determining the LVET based on the respective corresponding time points of the AVO characteristic points and the AVC characteristic points in the same cardiac cycle.
In a specific embodiment, the method further comprises:
and outputting the determined information of the LVET and/or AVC characteristic points and/or the information of the AVO characteristic points.
In a specific embodiment, the method further comprises:
respectively carrying out peak search on signal waveforms corresponding to the second hemodynamics related information;
the time corresponding to the waveform between the two adjacent highest peaks is set as one cardiac cycle.
In a specific embodiment, the method further comprises:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through a back vibration sensitive sensor and a shoulder vibration sensitive sensor, and simultaneously acquiring a synchronous detection electrocardiogram of the object to be detected;
a cardiac cycle is determined based on the synchronous detection electrocardiogram.
In a specific embodiment, the number of said back vibration sensitive sensors is one or more;
the back vibration sensitive sensor is configured to be placed under the back of the object to be measured.
In a specific embodiment, the back vibration sensitive sensor is configured to be placed under the vertebra and/or ribs of the subject human body.
In a specific embodiment, the back vibration sensitive sensors are distributed in a strip shape along the height direction of the human body of the object to be measured.
The embodiment of the invention also provides a heart physiological parameter measuring device, which is applied to an information acquisition device provided with a vibration sensitive sensor, and comprises:
the acquisition module is used for respectively acquiring back vibration information and shoulder vibration information of the object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
a generating module for generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
a first determination module to determine a reference AVC time point for an AVC event based on the first hemodynamic-related information;
a second determination module to determine an AVC feature point of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic related information.
The embodiment of the invention also provides a terminal, which is applied to an information acquisition device provided with a vibration sensitive sensor, and comprises:
a processor;
a memory storing executable instructions of the processor;
the processor is configured to:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
determining a reference AVC time point for an AVC event based on the first hemodynamic-related information;
determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
The embodiment of the invention also provides a computer storage medium, which is applied to an information acquisition device provided with a vibration sensitive sensor, wherein a computer program is stored in the computer storage medium, and the computer program is used for executing the following processes:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first hemodynamic-related information and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
procedure C, determining a reference AVC time point for an AVC event based on said first hemodynamic-related information;
process D, determining AVC feature points for an AVC event based on said reference AVC time point and said right shoulder second hemodynamic related information.
The embodiment of the invention also provides a heart physiological parameter measuring system, which comprises: the system comprises an information acquisition device and an information processing device; wherein the information acquisition device comprises one or more vibration-sensitive sensors;
the information acquisition device is used for respectively acquiring back vibration information and shoulder vibration information of the object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
the information processing device is used for respectively generating first hemodynamics related information and second hemodynamics related information based on the back vibration information and the shoulder vibration information; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information; determining a reference AVC time point for an AVC event based on the first hemodynamic-related information; determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
Therefore, the embodiment of the invention provides a method, equipment, a terminal and a computer storage medium for measuring heart physiological parameters, wherein the method is applied to an information acquisition device provided with a vibration sensitive sensor, and comprises the following steps: respectively acquiring back vibration information and shoulder vibration information of a to-be-detected object in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information; generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information; determining a reference AVC time point for an AVC event based on the first hemodynamic-related information; determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information. Therefore, the scheme of the invention provides a parameter measuring method which is almost senseless for users by the way that the detected object lies on the information acquisition device, does not cause wound to the detected object, does not cause physiological or psychological influence, and is beneficial to long-term detection.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic diagram of a heart in accordance with an embodiment of the present invention;
fig. 2 is a schematic diagram of an information acquisition apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an information acquisition device according to an embodiment of the present invention;
FIG. 4 is a flowchart of a method for measuring physiological parameters of a heart according to an embodiment of the present invention;
fig. 5 is a graph of a curve corresponding to hemodynamic related information and a waveform curve of a high frequency component signal corresponding to the curve in a method for measuring a cardiac physiological parameter according to an embodiment of the present invention;
fig. 6 is a graph of a curve corresponding to hemodynamic related information and a waveform curve of a high frequency component signal corresponding to the curve in a method for measuring a cardiac physiological parameter according to an embodiment of the present invention;
fig. 7 is a graph of a curve corresponding to hemodynamic related information and a waveform curve of a high frequency component signal corresponding to the curve in a method for measuring a cardiac physiological parameter according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of a waveform curve of vibration information in a method for measuring a physiological parameter of a heart according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a waveform curve of hemodynamic related information in a method for measuring a physiological parameter of a heart according to an embodiment of the present invention;
fig. 10 is a schematic diagram of a plurality of wave-shaped curves generated after processing second hemodynamic-related information in a method for measuring a cardiac physiological parameter according to an embodiment of the present invention;
FIG. 11 is a block diagram of a cardiac physiological parameter measuring device according to an embodiment of the present invention;
fig. 12 is a block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
Various embodiments of the present invention will be described more fully hereinafter. The invention is capable of various embodiments and of modifications and variations therein. However, it should be understood that: there is no intention to limit various embodiments of the invention to the specific embodiments disclosed herein, but on the contrary, the intention is to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of various embodiments of the invention.
The terminology used in the various embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the invention. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. Terms such as those defined in commonly used dictionaries will be interpreted as having the same meaning as a meaning of a language in the relevant art and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein in various embodiments of the present invention.
Example 1
The embodiment of the invention provides a method for measuring cardiac physiological parameters, which is used for acquiring the cardiac physiological parameters
As shown in fig. 1, the structure of the heart and the mechanical process of the heart beat are as follows: heart 10 includes four chambers, right atrium 20 and right ventricle 30 interconnected by tricuspid valve 25, and left atrium 40 and left ventricle 50 interconnected by mitral valve 45. Blood flows from the upper part of the body back to the right atrium 20 via the superior vena cava 15, and from the lower part of the body via the inferior vena cava 17. The myocardium of the right atrium 20 and the papillary muscles 27 of the right ventricle 30 contract simultaneously to open the tricuspid valve 25, thereby allowing blood to flow from the right atrium 20 into the right ventricle 30, and then the tricuspid valve 25 closes when the papillary muscles 27 relax. When the heart muscle of the right ventricle 30 contracts, blood is forced from the right ventricle 30 through the pulmonary valve 35 (the reference numbers refer to the bilateral valves rather than the orifice) into the pulmonary artery 37, which transports the blood to the lungs where it is oxidized. The oxygenated blood is returned to the left atrium 40 via the pulmonary veins 38 and 39. The myocardium of the left atrium 40 and the papillary muscles 47 of the left ventricle 50 contract simultaneously, the mitral valve 45 opens to allow oxygenated blood to flow from the left atrium 40 into the left ventricle 50, and then the papillary muscles 47 relax to close the mitral valve 45. The left ventricle 50 then forces the oxygenated blood through the aortic valve 55 into the aorta 60, which aorta 60 in turn delivers the oxygenated blood to the entire body via the peripheral vasculature.
The periodic beating of the heart results in various changing periodic phenomena, such as the cyclic changes in intracardiac pressure and cardiovascular pressure, atrial and ventricular volumes, the opening and closing of intracardiac valves (including mitral, tricuspid, aortic, pulmonary), blood flow rates, and the like. These changes drive the blood to flow in a certain direction in the blood vessel. Hemodynamics (hemodynamics) is the mechanics of blood flow in the cardiovascular system, and is the object of study on the deformation and flow of blood and blood vessels. "hemodynamic-related information" as described herein refers to any hemodynamic-related information, and may include, but is not limited to, one or more of information related to blood flow production (e.g., systolic relaxation of the heart resulting in ejection of blood), information related to blood flow (e.g., cardiac output co, left ventricular ejection impinging on the aortic arch), information related to blood flow pressure (e.g., systolic arterial pressure, diastolic arterial pressure, mean arterial pressure), and information related to blood vessels (e.g., vascular elasticity). The periodic pulsation of the heart can maintain the blood circulation, so various parameters related to the heart pulsation, such as the opening and closing of the heart valves, the change of the volumes of the atria and the ventricles, and the like, are information related to the hemodynamics.
The scheme discloses a method for obtaining the required physical sign information (such as various parameters in the heart pulsation) from the hemodynamics related information by measuring the vibration information of the human body and then obtaining the hemodynamics related information from the body vibration information. For this purpose, in the present solution, firstly, vibration information of the human body is acquired by using the information acquisition device, and then, hemodynamics related information (including cardiac vibration information and some information of blood flow) is separated from the vibration information.
And extracting AVC (advanced Valve Closure) feature points and AVO (advanced Valve Opening) feature points from the hemodynamics related information.
Fig. 2 and 3 are schematic diagrams of an information acquisition apparatus. The information acquisition device can comprise one or more vibration sensitive sensors, wherein each vibration sensitive sensor can be independently switched on and off to acquire data in a mode of combining a plurality of different vibration sensitive sensors; for example, only the vibration sensitive sensor corresponding to the lower right shoulder and the vibration sensitive sensor corresponding to the lower back of the object to be measured may be turned on to collect data.
The vibration sensitive sensors are arranged at positions corresponding to different preset regions of the human body, and further, the vibration sensitive sensors may comprise any combination of one or more of the following: acceleration sensors, velocity sensors, displacement sensors, pressure sensors, strain sensors, stress sensors, and also sensors that convert physical quantities equivalently based on acceleration, velocity, displacement, or pressure (e.g., electrostatic charge sensitive sensors, gas-filled micro-motion sensors, radar sensors, etc.). Wherein the strain sensor may be a fiber optic strain sensor. The information acquisition devices shown in fig. 2 and 3 include vibration sensitive sensors. When the information acquisition device acquires human body vibration information, an object to be detected needs to lie on the information acquisition device in a supine lying manner, and the vibration sensitive sensor is configured to be arranged below the right shoulder of the object to be detected and can also be configured to be arranged below the left shoulder and the back of the object to be detected. In some embodiments, the information collecting device may also be implemented on a seat such as a chair, and specifically, the information collecting device may be disposed on the seat for the subject to be tested to sit on, or may be disposed on the back of the chair for the subject to be tested to lean against.
In particular, the vibration sensitive sensor may not be in direct contact with the object to be measured.
In some embodiments, the information collecting device may be a mat, the vibration sensitive sensor may be an optical fiber sensor, the object to be measured needs to lie on the mat in a supine resting state, and the vibration sensitive sensor performs vibration monitoring.
The principle of optical fiber sensor measurement human vibration, when external force was exerted on optical fiber sensor, for example the human body lies flat on the mat and when being in the rest state, human breathing, heartbeat etc. can lead to human health to produce little vibrations, and human little body vibration can cause the optic fibre bending, and the optic fibre is crooked to make the parameter of the light through optic fibre change, for example the light intensity changes. The change in light intensity can be processed to characterize body vibrations of the human body.
As shown in fig. 4, a method 100 for measuring a physiological parameter of a heart includes the following steps:
the shoulder vibration sensitive sensor comprises a left shoulder vibration sensitive sensor and a right shoulder vibration sensitive sensor;
the left shoulder vibration sensitive sensor is configured to be placed under a left shoulder blade of the subject;
the right shoulder vibration sensitive sensor is configured to be placed under a right shoulder blade of the subject.
Further, the sensing area of the left shoulder vibration sensitive sensor covers the shoulder area corresponding to the left shoulder blade of the object to be detected;
and the sensing area of the right shoulder vibration sensitive sensor covers the shoulder area corresponding to the right shoulder blade of the object to be detected.
When the vibration-sensitive sensor is configured to be placed below the object to be measured, the vibration information that the vibration-sensitive sensor can acquire may include vibration caused by respiration, human vibration caused by cardiac contraction and relaxation, human vibration caused by vascular deformation, and human body motion information (which may also be referred to as human body motion information). The body vibration caused by diastole and systole can include body vibration caused by diastole and systole, and body vibration caused by blood flow caused by diastole and systole, such as body vibration caused by blood impacting aortic arch caused by heart ejection. The human body vibration caused by the blood vessel deformation can be human body vibration caused by the conduction of the pulse wave along the blood vessel, wherein the pulse wave is formed by the expansion of the aorta wall caused by the blood ejection of the heart. The body movement information of the human body can comprise leg bending, leg lifting, turning over, shaking and the like. Specifically, when a human body breathes, the whole body, particularly the body part mainly including the thoracic cavity and the abdominal cavity, can be driven to vibrate rhythmically, the systolic and diastolic actions of the human body can also drive the whole body, particularly the body around the heart, the instant blood jetted from the left ventricle to the aorta can impact the aortic arch, the heart and the large blood vessel part connected with the heart as a whole can also move in a series, and the vibration of the body part far away from the heart is weaker.
102, respectively generating first hemodynamics related information and second hemodynamics related information based on the back vibration information and the shoulder vibration information; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
specifically, the "generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively" in step 102 includes:
generating first hemodynamic-related information and second hemodynamic-related information by respectively preprocessing the back vibration information and the shoulder vibration information; wherein the preprocessing comprises at least one of filtering, denoising and signal scaling.
For example, in one embodiment, the vibration information (including the back vibration information and the shoulder vibration information) may be filtered to remove information below 1Hz, the filtering method used may include, but is not limited to, one or more of low-pass filtering, band-pass filtering, iir (infinite Impulse response) filtering, fir (finite Impulse response) filtering, wavelet filtering, zero-phase bilateral filtering, and polynomial fitting smoothing filtering, and the vibration information may be filtered at least once. If the vibration information carries a power frequency interference signal, a power frequency filter can be designed to filter power frequency noise. Some high-frequency noise (for example, above 45 Hz) can be denoised, and the processed information can be subjected to signal scaling according to the situation to obtain information related to hemodynamics.
Further, the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information", comprises:
performing high-frequency component extraction on the first hemodynamics-related information to obtain a first high-frequency component signal waveform curve corresponding to the first hemodynamics-related information;
and performing feature search on the first high-frequency component signal waveform curve by a feature search method to determine a reference AVC time point of an AVC event from the first high-frequency component signal waveform curve.
Specifically, when the vibration sensitive sensor is an optical fiber sensor, the first high-frequency component signal waveform curve includes: a second order differential wave curve or a fourth order differential curve;
in a specific embodiment, the "performing a feature search on the first high-frequency component signal waveform profile by a feature search method to determine a reference AVC time point of an AVC event from the first high-frequency component signal waveform profile" includes:
determining an M-shaped characteristic peak group in the first high-frequency component signal waveform curve by a characteristic search method;
determining a reference AVC time point for an AVC event based on the "M" -shaped feature peak groups.
Specifically, as shown in fig. 5 and 6, the signal curves of the left shoulder, the right shoulder, the back 1, the back 2, and the back 3 (specifically, the curve corresponding to the right shoulder is taken as an example, the curve corresponding to the right shoulder is located on the upper side, the curve corresponding to the vibration information of the right shoulder is located on the lower side, the waveform curve of the high-frequency component signal corresponding to the information related to hemodynamics is located on the lower side, and the distribution in the other signal curves is the same) are sequentially arranged from top to bottom, and in the figure, the back has 3 signals, but the specific number is not limited to this number, and may be one or multiple.
In some embodiments, the right shoulder vibration signal obtained by the right shoulder vibration sensitive sensor has poor quality, and a high-frequency signal component waveform curve (for example, a second-order differential curve) of the right shoulder vibration sensitive sensor has more interference peaks, as shown in a right shoulder signal curve in fig. 5, so that an accurate AVC characteristic peak is difficult to identify when the right shoulder vibration signal is processed alone, and false identification is easily caused.
In this case, the signal regularity of the right shoulder is not very prominent, and experiments show that the difference is very small when the event of AVC is transmitted downwards along the longitudinal direction (height direction) of the human body, so that the AVC characteristic point of the right shoulder can be reinforced or independently judged based on one or more paths of back data. The second order differential waveform curves of the three vibration signals of the back 1, the back 2 and the back 3, which are synchronously acquired with the shoulder vibration signals, present obviously consistent characteristics, that is, present an "M" -shaped characteristic peak group with obvious characteristics (two continuous peaks are connected into an M shape, of course, can also be regarded as a "W" shape, since the waveforms are continuous, the peak-valley position of the "M" shape is shifted backward by one state, that is, the "peak" is switched to the "valley", the "valley" is switched to the "peak", and two continuous valleys are correspondingly connected into a W shape, which is not described herein again), as indicated by a circular dashed frame in fig. 5. Further, the M characteristic peak group identification characteristic point is identified, for example, one peak in the M characteristic peak group is taken as an AVC characteristic point, and as shown in fig. 6, the AVC characteristic points of the second order differential waveforms of the back 1, back 2, and back 3 three-way signals are connected into a time line, so that it is seen that the heights can be kept consistent in time.
Thus, a reference AVC time point for an AVC event can be determined based on the "M" -shaped characteristic peak groups in the high-frequency component signal waveforms of the one or more back vibration signals.
Specifically, the high-frequency component signal waveform may include a second-order differential waveform curve or a fourth-order differential waveform curve, whereby:
when the first high-frequency component signal profile is a second-order differential profile, the "determining a reference AVC time point of an AVC event based on the" M "-shaped feature peak group" includes:
selecting a first peak in the M-shaped characteristic peak group as a reference AVC time point of an AVC event;
when the first high-frequency component signal profile is a fourth-order differential profile, the "determining a reference AVC time point of an AVC event based on the" M "-shaped feature peak group" includes:
and selecting the first trough in the M-shaped characteristic peak group as a reference AVC time point of the AVC event.
Specifically, in order to ensure better accuracy, the first hemodynamically-related information is multiple;
said "determining a reference AVC time point for an AVC event based on said first hemodynamic-related information" in step 103 comprises:
respectively determining a first AVC feature point of an AVC event on a high-frequency component signal waveform curve corresponding to each piece of first hemodynamic related information aiming at each piece of first hemodynamic related information;
and placing the waveform curves of the high-frequency component signals on the same time axis for synchronization so as to synthesize the points of the first AVC characteristic points in time to determine the reference AVC time points.
Specifically, for example, first hemodynamic-related information corresponding to each of the back 1, the back 2, and the back 3;
and respectively performing first AVC characteristic points of AVC events on the high-frequency component signal waveform curves corresponding to the 3 pieces of first hemodynamic related information.
And determining the reference AVC time point by carrying out modes such as averaging in time on the three first AVC characteristic points.
Furthermore, the determining the AVC event reference AVC time point may also be performed in a manual calibration manner, and in particular, the determining the AVC event reference AVC time point based on the first hemodynamic related information includes:
graphically displaying the first hemodynamic-related information; and displaying prompt information on a graphical display interface; wherein, the prompt information is used for prompting the calibration of the reference AVC time point of the AVC event
Determining a manually calibrated point on the graphical display interface;
the point is set as a reference AVC time point of an AVC event.
Specifically, when the point is manually calibrated, the graphical display interface may preset an amplification display function, and the calibration object may amplify the graphical display interface of the first hemodynamic related information to determine a reference AVC time point of the AVC event. The waveform curve of the first hemodynamic-related information may further include different filtering intervals, for example, any filtering interval between 1 to 45HZ may be set, and the filtering frequency band may be different according to the actual situation, for example, the filtering frequency band may be a 1 to 20HZ interval, a 1 to 30HZ interval, a 1 to 35HZ interval, a 1 to 40HZ interval, a 2 to 20HZ interval, an interval in any sub-range within a 1 to 45HZ range, and the like, and for example, the filtering frequency band may be 3 to 20HZ, 3 to 21HZ, 3 to 40HZ, 3 to 25HZ, 3 to 45HZ, 5 to 20HZ, 5 to 26HZ, 5 to 40HZ, 5 to 45HZ, and the like. The calibration object can autonomously select a filtering interval according to the detail showing degree of the wave curve of the first hemodynamics related information, so as to obtain the first hemodynamics related information with richer details through filtering, and perform feature point calibration.
Specifically, the manually calibrated point needs to be on the waveform curve or the distance between the manually calibrated point and the waveform curve is smaller than a preset value, so that a point generated by mistaken touch (for example, a touch point generated by hand trembling) is prevented from being set as the manually calibrated point; in a specific process, the operation of setting the current manual calibration point as the reference AVC time point of the AVC event of the MC event may be performed only when the calibration object is further confirmed.
Furthermore, in order to prompt the calibration object to perform the calibration operation, prompt information can be displayed on the graphical display interface; and the prompt information is used for prompting manual calibration of a reference AVC time point of the AVC event.
After the reference AVC time point is determined, the following step 104 is performed.
The "determining an AVC feature point of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic information" in specific step 104 includes:
respectively placing high-frequency component signal waveform curves corresponding to the first hemodynamic related information and the second hemodynamic information of the right shoulder on the same time axis for synchronization;
determining a reference point which is on the same time with the reference AVC time point in a high-frequency component signal waveform curve corresponding to the second right shoulder hemodynamic information;
and selecting a first trough or a first peak on the left side of the reference point from a high-frequency component signal waveform curve corresponding to the second right shoulder hemodynamic information as an AVC feature point of an AVC event.
Specifically, as shown in fig. 7, all the second-order differential waveforms are synchronously plotted in the same graph (the positions of the human body corresponding to the left shoulder, the right shoulder, the back 1, the back 2, and the back 3 from top to bottom, respectively), and at this time, it is easier to obtain that the time lines of the first peak of the characteristic peak of the back 1, the back 2, and the back 3 of the three-way second-order differential waveform M keep consistent in height. At this time, under the condition that the signal characteristics of the right shoulder are not obvious, auxiliary judgment can be carried out by depending on the multipath signal characteristics of the back;
in one embodiment, the AVC feature point may be obtained by extrapolating the feature peak (referred to as AVC time point) in the right shoulder signal to the first peak of the second order differential of the right shoulder to the left of the time line. In fig. 5-7, the AVC feature point is selected according to a second derivative curve, taking the first peak of the second cluster, and in some cases, the first valley as the AVC feature point.
In some embodiments, the AVC feature point may also be determined by manual calibration:
specifically, high-frequency component signal waveform curves corresponding to the first hemodynamic related information and the second hemodynamic information of the right shoulder are respectively placed on the same time axis for synchronization, and are displayed in a graphical interface;
determining a manually calibrated point on the graphical display interface;
and if the manually calibrated point is on the waveform curve of the high-frequency component signal corresponding to the second hemodynamic information of the right shoulder, setting the point as a reference AVC time point of the AVC event.
Specifically, on the graphical display interface, the reference point can be displayed in a graphical manner so as to be referenced when manually calibrated.
In other embodiments, when the feature of the second derivative curve is not obvious, a fourth derivative curve may be used, and meanwhile, a peak in the second derivative corresponds to a trough in the fourth derivative, and a trough in the second derivative corresponds to a peak in the fourth derivative, so that if the fourth derivative curve is used for determination, the AVC feature point may be a first peak or trough corresponding to a right shoulder fourth derivative on the left of the reference AVC time point.
Specifically, considering that the waveform in the high-frequency component signal waveform profile may not be significant, in this case, when the first trough or the first peak on the left side of the reference point cannot be determined in the high-frequency component signal waveform profile corresponding to the second hemodynamic-related information on the right shoulder, the reference AVC time point is taken as the AVC time point of the AVC event.
Specifically, the shoulder vibration sensitive sensor includes: a left shoulder vibration sensitive sensor configured to be placed under a left shoulder of the object to be tested and a right shoulder vibration sensitive sensor configured to be placed under a right shoulder of the object to be tested;
the second hemodynamic information comprises left shoulder second hemodynamic information generated from left shoulder vibration information;
in this regard, in addition to determining AVC feature points on the right shoulder, the method may further comprise:
performing second-order differential processing based on the second hemodynamic information of the left shoulder to generate a second-order differential curve;
setting the highest peak of the second order differential curve in one cardiac cycle as the AVO characteristic point of the AVO event.
Fig. 8 is a waveform curve showing the acquired vibration information of the left shoulder portion of the human body of the object to be measured. Curve 1 is a waveform diagram of the vibration information acquired by the left shoulder vibration sensitive sensor, wherein the horizontal axis represents time, and the vertical axis represents the vibration information subjected to normalization processing, and is dimensionless.
As shown in fig. 9, a curve 2 is a waveform diagram of the hemodynamic-related information generated based on the left shoulder vibration information, in which the horizontal axis represents time, and specifically, the curve 2 is the hemodynamic-related information generated by performing processing such as filtering, denoising, signal scaling, and the like on the curve 1.
As shown in fig. 10, curve 3 is a waveform of the second hemodynamic information of the left shoulder, and curve 4 is a waveform of curve 3 after the second order differential processing. In a cardiac cycle, the peak search is performed on the curve 4, and the highest peak in the cardiac cycle is the AVO feature point.
After the AVO feature points are obtained, the method further includes:
placing the left shoulder second hemodynamic information and the right shoulder second hemodynamic information on the same time axis for synchronization;
and determining the LVET based on the respective corresponding time points of the AVO characteristic points and the AVC characteristic points in the same cardiac cycle.
Specifically, after the AVO feature point and the AVC feature point are determined, respective time points of AVO and AVC in one cardiac cycle, that is, an avot (oral Valve open time) and an avct (oral Valve close time), may be specifically selected, and then the LVET is determined according to the following formula:
LVET＝AVCT-AVOT；
in a specific embodiment, the method further comprises:
and outputting the determined information of the LVET and/or AVC characteristic points and/or the information of the AVO characteristic points.
Specifically, it is also possible to output the information of the LVET and/or AVC feature point and/or the information of the AVO feature point based on the output instruction when necessary, for example, when the output instruction is received.
Specifically, the vibration-sensitive sensor obtains a waveform in continuous time, the waveform comprises data of a plurality of cardiac cycles, and the division of the cardiac cycles is required for a total waveform in a curve, and the specific method is as follows:
performing peak search on a signal waveform corresponding to the second hemodynamic related information;
the time corresponding to the waveform between the two adjacent highest peaks is set as one cardiac cycle.
Specifically, for example, a peak search may be performed on the curve 2, and the waveform between a peak and the next peak is divided into one cardiac cycle, as shown in fig. 9.
In addition, the cardiac cycle can be determined in the following manner:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through a back vibration sensitive sensor and a shoulder vibration sensitive sensor, and simultaneously acquiring a synchronous detection electrocardiogram of the object to be detected;
a cardiac cycle is determined based on the synchronous detection electrocardiogram. The specific synchronous monitoring electrocardiogram is ECG (electrocardiograph);
specifically, the electrocardiogram can be synchronously monitored for a tester, and because the electrocardiogram has electrode connection, the waveform in the electrocardiogram is stable and clear and can be used as the division calibration of the cardiac cycle so as to determine the cardiac cycle.
Further, as shown in fig. 3, the number of the back vibration sensitive sensors is one or more;
the back vibration sensitive sensor is configured to be placed under the back of the object to be measured.
Through the arrangement of the back vibration sensitive sensors, verification can be carried out based on more data, and higher precision is guaranteed.
In one embodiment, the back vibration sensitive sensors are arranged in a strip shape along the height direction of the subject.
The utility model discloses a sensor is responded to in back vibration, theoretically can set up to corresponding back optional position, be rectangular shape distribution along human height direction, the width can change, the class is like can be 1 cm's width, also can be 8 cm's width etc, array density is when the width is narrow, more sensor of being listed as can arranging, later stage acquisition multiseriate data verification accuracy is higher, the width is wide otherwise, nevertheless the width is narrow also to have a lot of wastes, the width is comparatively suitable 6-8cm, 3 preferred ways of arranging, with this can each way data distinguish, it increases the data processing degree of difficulty not have too multichannel data again.
In a specific embodiment, the back vibration sensitive sensor is configured to be placed under the vertebra and/or ribs of the subject human body.
In particular, the back vibration sensitive sensor is preferably positioned under the vertebra and ribs of the human body in view of the better signal quality of the vibration transmitted along the bone and muscle when measuring the vibration.
In addition, in an actual application process, in order to determine an AVC time point of an AVC event, the following method may be used:
acquiring vibration information of an object to be detected in a supine state through one or more vibration sensitive sensors; wherein the vibration sensitive sensor is configured to be placed under the right shoulder of the object to be measured;
generating hemodynamic-related information based on the vibration information;
an AVC time point of an AVC event is determined based on the hemodynamics related information.
Specifically, the vibration information detected at the right shoulder portion may be directly used for processing to obtain hemodynamics related information, and the AVC time point of the AVC event may be determined according to the obtained dynamics related information.
Furthermore, instead of determining the AVC time point of an AVC event directly based on the vibration information measured at the right shoulder, the AVC time point of an AVC event may be determined directly using the vibration information obtained by the back vibration sensitive sensor.
Example 2
The embodiment 2 of the present invention further discloses a cardiac physiological parameter measuring device, which is applied to an information collecting apparatus provided with a vibration sensitive sensor, as shown in fig. 11, and the device includes:
an obtaining module 301, configured to obtain back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor, respectively; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed under a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
a generating module 302 for generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
a first determining module 303 for determining a reference AVC time point for an AVC event based on said first hemodynamic-related information;
a second determination module 304 for determining an AVC feature point of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic related information.
Specifically, embodiment 2 of the present invention also discloses other related technical features, and for specific related technical features, reference is made to the description of embodiment 1.
Example 3
a processor 401;
a memory 402 storing executable instructions of the processor;
the processor 401 is configured to:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
determining a reference AVC time point for an AVC event based on the first hemodynamic-related information;
determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
Specifically, embodiment 3 of the present invention also discloses other related technical features, and for specific related technical features, reference is made to the description of embodiment 1.
Example 4
The embodiment 4 of the present invention further discloses a computer storage medium, which is applied to an information acquisition device provided with a vibration sensitive sensor, wherein a computer program is stored in the computer storage medium, and the computer program is used for executing the following processes:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first hemodynamic-related information and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
procedure C, determining a reference AVC time point for an AVC event based on said first hemodynamic-related information;
process D, determining AVC feature points for an AVC event based on said reference AVC time point and said right shoulder second hemodynamic related information.
Specifically, embodiment 4 of the present invention also discloses other related technical features, and for specific related technical features, reference is made to the description of embodiment 1.
Example 5
Embodiment 5 of the present invention further provides a system for measuring cardiac physiological parameters, including: the system comprises an information acquisition device and an information processing device; wherein the information acquisition device comprises one or more vibration-sensitive sensors;
the information acquisition device is used for respectively acquiring back vibration information and shoulder vibration information of the object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration sensitive sensor is a vibration sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
the information processing device is used for respectively generating first hemodynamics related information and second hemodynamics related information based on the back vibration information and the shoulder vibration information; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information; determining a reference AVC time point for an AVC event based on the first hemodynamic-related information; determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
Specifically, embodiment 5 of the present invention also discloses other related technical features, and for specific related technical features, reference is made to the description of embodiment 1. Further, the information collecting device in embodiment 5 of the present invention is the same as the information collecting device in embodiment 1, and the function of the information processing device corresponds to the method in embodiment 1.
Example 6
The embodiment 6 of the invention also discloses a heart physiological parameter measuring method which is applied to an information acquisition device provided with a vibration sensitive sensor and comprises the following steps:
102, generating relevant information of the hemodynamics based on the vibration information;
Specifically, embodiment 6 of the present invention also discloses other related technical features, and for specific related technical features, reference is made to the description of embodiment 1. Further, the information collecting apparatus in embodiment 5 of the present invention is identical to the information collecting apparatus in embodiment 1.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or processes in the figures are not necessarily required to practice the present invention.
Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above-mentioned invention numbers are merely for description and do not represent the merits of the implementation scenarios.
The above disclosure is only a few specific implementation scenarios of the present invention, however, the present invention is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present invention.
Claims (27)
1. A heart physiological parameter measuring method is applied to an information acquisition device provided with a vibration sensitive sensor, and is characterized by comprising the following steps:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
determining a reference AVC time point for an AVC event based on the first hemodynamic-related information;
determining an AVC time point for an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
2. A method of measuring physiological parameters of the heart according to claim 1, wherein said vibration sensitive sensor is one or more of an acceleration sensor, a velocity sensor, a displacement sensor, a pressure sensor, a strain sensor, a stress sensor, or a sensor that equivalently transforms physical quantities based on acceleration, velocity, pressure, or displacement.
3. A method of measuring physiological parameters of the heart according to claim 2, wherein said strain sensor is an optical fiber sensor.
4. The method as claimed in claim 1, wherein the shoulder vibration-sensitive sensor comprises a left shoulder vibration-sensitive sensor and a right shoulder vibration-sensitive sensor;
the left shoulder vibration sensitive sensor is configured to be placed under a left shoulder blade of the subject;
the right shoulder vibration sensitive sensor is configured to be placed under a right shoulder blade of the subject.
5. The method as claimed in claim 4, wherein the measuring step is performed by a computer,
the sensing area of the left shoulder vibration sensitive sensor covers the shoulder area corresponding to the left shoulder blade of the object to be detected;
and the sensing area of the right shoulder vibration sensitive sensor covers the shoulder area corresponding to the right shoulder blade of the object to be detected.
6. The method as claimed in claim 1, wherein the step of generating the first hemodynamic-related information and the second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively, comprises:
generating first hemodynamic-related information and second hemodynamic-related information by respectively preprocessing the back vibration information and the shoulder vibration information; wherein the preprocessing comprises at least one of filtering, denoising, and signal scaling.
7. A cardiac physiological parameter measurement method according to claim 1, wherein said "determining a reference AVC time point for an AVC event based on said first hemodynamic related information" comprises:
performing high-frequency component extraction on the first hemodynamics-related information to obtain a first high-frequency component signal waveform curve corresponding to the first hemodynamics-related information;
and performing feature search on the first high-frequency component signal waveform curve by a feature search method to determine a reference AVC time point of an AVC event from the first high-frequency component signal waveform curve.
8. A method as claimed in claim 7, wherein when said vibration sensitive sensor is an optical fiber sensor, said first high frequency component signal waveform profile comprises: a second order differential wave curve or a fourth order differential curve.
9. A cardiac physiological parameter measuring method according to claim 8, wherein said performing a feature search on said first high frequency component signal waveform profile by a feature search method to determine a reference AVC time point of an AVC event from said first high frequency component signal waveform profile, comprises:
determining an M-shaped characteristic peak group in the first high-frequency component signal waveform curve by a characteristic search method;
determining a reference AVC time point for an AVC event based on the "M" -shaped feature peak groups.
10. A cardiac physiological parameter measuring method according to claim 9, wherein when said first high frequency component signal waveform profile is a second order differential waveform profile, said "determining a reference AVC time point of an AVC event based on said" M "-shaped feature peak group" comprises:
selecting a first peak in the M-shaped characteristic peak group as a reference AVC time point of an AVC event;
when the first high-frequency component signal profile is a fourth-order differential profile, the "determining a reference AVC time point of an AVC event based on the" M "-shaped feature peak group" includes:
and selecting the first trough in the M-shaped characteristic peak group as a reference AVC time point of the AVC event.
11. The method of claim 1, wherein the first hemodynamic-related information is a plurality of information;
the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information," comprising:
respectively determining a first AVC feature point of an AVC event on a high-frequency component signal waveform curve corresponding to each piece of first hemodynamic related information aiming at each piece of first hemodynamic related information;
and placing the waveform curves of the high-frequency component signals on the same time axis for synchronization so as to synthesize the first AVC characteristic points to determine reference AVC time points.
12. The method of claim 1, wherein the determining the AVC feature points for an AVC event based on the reference AVC time point and the second right shoulder hemodynamic related information comprises:
respectively placing high-frequency component signal waveform curves corresponding to the first hemodynamic related information and the second hemodynamic related information of the right shoulder on the same time axis for synchronization;
determining a reference point which is on the same time with the reference AVC time point in a high-frequency component signal waveform curve corresponding to the second right shoulder hemodynamic related information;
and selecting a first trough or a first peak on the left side of the reference point from a high-frequency component signal waveform curve corresponding to the second hemodynamic related information of the right shoulder as an AVC feature point of an AVC event.
13. A method of measuring a physiological parameter of a heart as recited in claim 1, the method further comprising:
and when the first trough or the first peak on the left side of the reference point cannot be determined in the waveform curve of the high-frequency component signal corresponding to the second hemodynamic-related information of the right shoulder, taking the reference AVC time point as the AVC time point of the AVC event.
14. The method as claimed in claim 1, wherein the measuring step comprises,
the "determining a reference AVC time point for an AVC event based on the first hemodynamic-related information," comprising:
graphically displaying the first hemodynamic-related information; and displaying prompt information on a graphical display interface; wherein, the prompt information is used for prompting the calibration of the reference AVC time point of the AVC event
Determining a manually calibrated point on the graphical display interface;
the point is set as a reference AVC time point of an AVC event.
15. A method of measuring a physiological parameter of the heart as recited in claim 1, wherein said shoulder vibration sensitive sensor comprises: a left shoulder vibration sensitive sensor configured to be placed under a left shoulder of the object to be tested and a right shoulder vibration sensitive sensor configured to be placed under a right shoulder of the object to be tested;
the second hemodynamic-related information comprises left shoulder second hemodynamic-related information generated from left shoulder vibration information;
the method further comprises the following steps:
performing second-order differential processing based on the second hemodynamic information of the left shoulder to generate a second-order differential curve;
setting the highest peak of the second order differential curve in one cardiac cycle as the AVO characteristic point of the AVO event.
16. A method of measuring a physiological parameter of the heart as recited in claim 15, further comprising:
synchronizing the left shoulder second hemodynamic related information and the right shoulder second hemodynamic related information on the same time axis;
and determining the LVET based on the respective corresponding time points of the AVO characteristic points and the AVC characteristic points in the same cardiac cycle.
17. A method of measuring a physiological parameter of the heart as recited in claim 16, further comprising:
and outputting the determined information of the LVET and/or AVC characteristic points and/or the information of the AVO characteristic points.
18. A method as claimed in claim 16 or 17, further comprising:
performing peak search on a signal waveform corresponding to the second hemodynamic related information;
the time corresponding to the waveform between the two adjacent highest peaks is set as one cardiac cycle.
19. A method as claimed in claim 16 or 17, further comprising:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through a back vibration sensitive sensor and a shoulder vibration sensitive sensor, and simultaneously acquiring a synchronous detection electrocardiogram of the object to be detected;
a cardiac cycle is determined based on the synchronous detection electrocardiogram.
20. A method as claimed in claim 1, wherein the number of said back vibration sensitive sensors is one or more;
the back vibration sensitive sensor is configured to be placed under the back of the object to be measured.
21. A method as claimed in claim 1, wherein said back vibration sensitive sensor is configured to be placed under the vertebra and/or ribs of said subject.
22. The method as claimed in claim 1, wherein the back vibration-sensitive sensors are distributed along the height direction of the subject.
23. A cardiac physiological parameter measuring apparatus applied to an information acquisition device provided with a vibration sensitive sensor, the apparatus comprising:
the acquisition module is used for acquiring back vibration information and shoulder vibration information of the object to be detected in a supine state by one or more shoulder vibration sensitive sensors and back vibration sensitive sensors respectively; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
a generating module for generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
a first determination module to determine a reference AVC time point for an AVC event based on the first hemodynamic-related information;
a second determination module to determine an AVC feature point of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic related information.
24. A terminal is applied to an information acquisition device provided with a vibration sensitive sensor, and is characterized by comprising:
a processor;
a memory storing executable instructions of the processor;
the processor is configured to:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
determining a reference AVC time point for an AVC event based on the first hemodynamic-related information;
determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
25. A computer storage medium for an information acquisition device provided with a vibration-sensitive sensor, wherein the computer storage medium stores a computer program for executing the following procedures:
respectively acquiring back vibration information and shoulder vibration information of an object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
generating first hemodynamic-related information and second hemodynamic-related information based on the back vibration information and the shoulder vibration information, respectively; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information;
procedure C, determining a reference AVC time point for an AVC event based on said first hemodynamic-related information;
process D, determining AVC feature points for an AVC event based on said reference AVC time point and said right shoulder second hemodynamic related information.
26. A cardiac physiological parameter measurement system, comprising: the system comprises an information acquisition device and an information processing device; wherein the information acquisition device comprises one or more vibration-sensitive sensors;
the information acquisition device is used for respectively acquiring back vibration information and shoulder vibration information of the object to be detected in a supine state through one or more shoulder vibration sensitive sensors and a back vibration sensitive sensor; wherein the back vibration-sensitive sensor is a vibration-sensitive sensor configured to be placed under the back of the object to be measured; the shoulder vibration sensitive sensor is a vibration sensitive sensor configured to be placed below a shoulder of the object to be measured; the shoulder vibration information comprises right shoulder vibration information;
the information processing device is used for respectively generating first hemodynamics related information and second hemodynamics related information based on the back vibration information and the shoulder vibration information; the second hemodynamic-related information comprises right shoulder second hemodynamic-related information generated from right shoulder vibration information; determining a reference AVC time point for an AVC event based on the first hemodynamic-related information; determining AVC feature points of an AVC event based on the reference AVC time point and the right shoulder second hemodynamic-related information.
27. A heart physiological parameter measuring method is applied to an information acquisition device provided with a vibration sensitive sensor, and is characterized by comprising the following steps:
acquiring vibration information of an object to be detected in a supine state through one or more vibration sensitive sensors; wherein the vibration sensitive sensor is configured to be placed under the right shoulder of the object to be measured;
generating hemodynamic-related information based on the vibration information;
an AVC time point of an AVC event is determined based on the hemodynamics related information.
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