CN210204714U

CN210204714U - Multi-sensing blood pressure detection device based on BCG (BCG-shaped code) signals and mattress

Info

Publication number: CN210204714U
Application number: CN201920512974.6U
Authority: CN
Inventors: Kuntao Lu; 卢坤涛; Zhong Liu; 刘众; Yong Yue; 乐勇
Original assignee: Shenzhen Granmore Technology Co Ltd
Current assignee: Shenzhen Granmore Technology Co Ltd
Priority date: 2019-04-16
Filing date: 2019-04-16
Publication date: 2020-03-31
Anticipated expiration: 2029-04-16

Abstract

The utility model is suitable for a blood pressure monitoring technology field provides a many sensing blood pressure check device and mattress based on BCG signal, and many sensing blood pressure check device based on BCG signal includes: the BCG signal acquisition module is provided with a plurality of sensing points and is used for acquiring BCG signals of a plurality of parts of a body, and the BCG signal acquisition module comprises a sensor which is distributed at a plurality of points; the signal processing module is used for carrying out filtering amplification processing on the BCG signal, judging the validity of the BCG signal and extracting the characteristics of the BCG signal, and comprises a signal filtering amplification unit and a BCG signal characteristic extraction module; and the blood pressure calculating module is used for calculating the blood pressure value of the user. The utility model provides a blood pressure measuring device has the blood pressure and measures the advantage that the rate of accuracy is high, can monitor blood pressure, non-contact operation, monitoring are with low costs in succession, more is applicable to real-time supervision heart function in daily life.

Description

Multi-sensing blood pressure detection device based on BCG (BCG-shaped code) signals and mattress

Technical Field

The utility model belongs to the technical field of blood pressure monitoring, concretely relates to many sensing blood pressure check device and mattress based on BCG signal.

Background

Blood pressure is one of the important physiological indexes of human body, and is an important physiological parameter reflecting cardiovascular function, thus becoming an important index for clinical disease diagnosis.

There are four main methods for noninvasive blood pressure measurement currently in use: korotkoff sound, oscillometric, constant volume, and pulse wave methods. The korotkoff method is determined by distinguishing the overflowing sound and the corresponding pressure point in the process of arterial blood flow blockage, but the accuracy of the korotkoff method is greatly influenced by artificial factors, including the subjective feeling and coordination degree of a human body, the position of a cuff, the size of the cuff and the like, the average arterial pressure cannot be directly measured, and most importantly, continuous monitoring cannot be realized. The oscillography is to detect the gas oscillation wave generated by the pulsation of the blood vessel wall in the cuff and directly judge the fluctuation change rule of the pressure in the cuff to judge the blood pressure of the human body. The currently widely used oscillometric criterion is given by a statistical method through a large number of crowd experiments, so that individual measurement differences are easily caused, and continuous monitoring cannot be realized. The constant volume method utilizes the principle that: when the artery blood vessel is in a load state due to the external force, the external pressure is equal to the arterial pressure, the diameter of the blood vessel does not change along with the fluctuation of the blood vessel, and the blood vessel is in a constant volume state, so that the blood pressure is measured, but the method has larger discrete type for measuring the systolic pressure. The pulse wave method is provided according to the characteristic that the pulse wave has positive correlation with the arterial blood pressure along the artery propagation rate, the arterial blood pressure value is indirectly calculated by measuring the Pulse Wave Velocity (PWV), an Electrocardiogram (ECG) and a photoplethysmogram (PPG) need to be measured simultaneously, although continuous monitoring can be realized, electrodes need to be attached, and the use is inconvenient.

SUMMERY OF THE UTILITY MODEL

To the not enough that exists on the prior art, the utility model provides a many sensing blood pressure monitoring devices based on ballistocardiogram (BCG, ballistocardiography) signal to solve present common noninvasive blood pressure detection method and device and be difficult to realize continuous monitoring blood pressure, detect the problem that the rate of accuracy is low.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

a BCG signal based multi-sensor blood pressure detection device comprising:

the BCG signal acquisition module is provided with a plurality of sensing points and is used for acquiring BCG signals of a plurality of parts of a body, and the BCG signal acquisition module comprises a sensor which is distributed at a plurality of points;

the signal processing module is used for carrying out filtering amplification processing on the BCG signal, judging the validity of the BCG signal and extracting the characteristics of the BCG signal, and comprises a signal filtering amplification unit and a BCG signal characteristic extraction module; and

and the blood pressure calculating module is used for calculating the blood pressure value of the user.

Further, the sensors are respectively arranged at different parts in the direction parallel to the body or in the direction perpendicular to the body. Further, the sensor is a piezoelectric film sensor, a piezoelectric ceramic sensor, a piezoelectric cable sensor, an acceleration sensor, a gyroscope sensor or an optical fiber sensor.

Further, the judging the validity of the BCG signal includes: when the signal intensity is greater than the threshold value 1, the user is considered to be in a body movement state, when the signal intensity is less than the threshold value 2, the monitoring area is considered to be free of people or the signal is weak, and the BCG signal is judged to be invalid under the two conditions; the acquired BCG signal is judged to be valid only when the signal strength is between the threshold 2 and the threshold 1.

Further, the BCG signal feature extraction of each sensing point includes: H. i, J, K recognition of waves and extraction of waveform features including HI intervals, IJ intervals, HIJ pulse widths, IJ amplitudes, JJ intervals, and pulse transit times PPT between sensing points.

Further, the blood pressure calculation unit calculating the blood pressure value of the user according to the BCG signal characteristics includes: obtaining a distance matrix L among all sensing points and respective HI, IJ and HIJ pulse width interval matrixes T of all the sensing points_HI、T_IJ、T_HIJIJ amplitude matrix A of individual sensing points_IJEach sensorJJ interval matrix T of points_JJAnd a pulse wave propagation time matrix T between the individual sensing points_PPTAnd calculating the blood pressure value.

Another object of the embodiment of the present invention is to provide a mattress with the blood pressure detecting device of the present invention, wherein each part of the blood pressure detecting device is placed in the mattress. Further, in the mattress of the present invention, the sensors are arranged in a strip or in a dot matrix.

Compared with the prior art, the beneficial effects of the utility model are that: the multi-sensing blood pressure monitoring method based on the BCG signal overcomes the defects that the BCG signal is weak and is easy to be interfered by the outside so as to cause unstable signal acquisition, and the accuracy of blood pressure measurement is remarkably improved by filtering and amplifying the signal and extracting the characteristic quantity of the signal through the sensors arranged at multiple points.

Drawings

Fig. 1 is a time domain waveform diagram of a typical BCG signal provided by the prior art;

fig. 2 is a flowchart of a multi-sensor blood pressure monitoring method based on BCG signals according to an embodiment of the present invention;

fig. 3 is a schematic structural view of a mattress with a blood pressure detection device provided by the embodiment of the present invention; and

fig. 4 is a schematic structural diagram of another mattress with a blood pressure detecting device according to an embodiment of the present invention.

Detailed Description

In order to make the technical problem, technical solution and advantageous effects to be solved by the present invention more clearly understood, the following description is given in conjunction with the accompanying drawings and embodiments to further explain the present invention in detail. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "part", or "unit" used to indicate elements are used only for convenience of description of the present invention, and "module" and "unit" may be used mixedly without particular limitation.

The embodiment of the utility model provides a multisensory blood pressure monitoring method based on BCG signal, this method includes following step:

(1) the BCG signal acquisition unit with multiple sensing points acquires BCG signals of each part of a body;

(2) the signal processing unit carries out filtering amplification processing on the BCG signal and analyzes the stable state of the body, namely, the validity of the BCG signal is judged;

(3) if the signal is judged to be valid, BCG signal feature extraction is carried out; and

(4) and entering a blood pressure calculating unit according to the BCG signal characteristics, and measuring the blood pressure value of the user.

Ballistocardiogram (BCG) is a non-invasive technique to accurately describe the impact force caused by the contraction of the heart and the ejection of blood and the deceleration of blood flow through large blood vessels via a graphical interface to induce physical activity. Blood is sprayed into blood vessels from the heart during each heart beat, extremely fine acting force is generated on a human body in the spraying process, and a series of human heart function indexes can be obtained by analyzing and calculating the extremely weak reaction force acquired by the BCG recorder.

Specifically, in step (1), the BCG signal acquisition unit with multiple sensing points comprises sensors arranged at different parts in a direction parallel to the body or in a direction vertical to the body, and the signals are accessed into the signal processing unit. Wherein the deployment sites include, for example, heart, head, back, and leg regions to obtain more body information.

Further, the sensor is a piezoelectric film PVDF sensor, a piezoelectric cable sensor, an acceleration sensor, a gyroscope sensor or an optical fiber sensor.

In step (2), the signal processing unit amplifies the acquired weak BCG signal and filters the environmental interference signal, so as to extract the strength of the BCG signal, further analyze the stable state of the body, namely judge the validity of the acquired signal: when the signal intensity is greater than the threshold value 1, the user is considered to be in a body movement state, when the signal intensity is less than the threshold value 2, the monitoring area is considered to be free of people or the signal is weak, and the BCG signal is judged to be invalid under the two conditions; the acquired BCG signal is judged to be valid only when the signal strength is between the threshold 2 and the threshold 1. Then, the effective signals are subjected to the next BCG signal characteristic quantity extraction, so that the accuracy of blood pressure measurement is improved.

Specifically, the step (3) performs feature quantity extraction on the effective BCG signal acquired in the step (2), wherein the BCG signal feature extraction of each sensing point comprises H, I, J, K wave identification and waveform feature extraction, and the waveform features comprise: HI interval, IJ interval, HIJ pulse width, IJ amplitude, JJ interval, and pulse wave transit time PPT between sensing points.

As shown in fig. 1, a time domain waveform of a typical BCG signal is shown, the amplitude of the waveform represents information such as cardiac pumping strength and blood flow acceleration of a subject, the width of the waveform represents the duration of diastole and systole, the typical BCG signal includes H, I, J, K, L, M, N waves, wherein the systole of the heart is generally considered to be generated at I, J, K waves, L, M, N waves are generated at diastole, and J waves are the maximum amplitude points in the BCG signal per cycle. Referring to fig. 1, for the identification of the BCG signal H, I, J, K wave of a single sensing point, the identification method specifically includes: the peak-valley value detection is carried out on the signal after the BCG filtering amplification, the point with the highest peak value and the distance between the highest points are found out, whether the J wave is detected or not is judged, after the J wave is calibrated, H, I, K waves can be calibrated in sequence according to the peak-valley value detected nearby the J wave, one maximum value point adjacent to the J wave is an H wave, and two minimum value points adjacent to the J wave are an I wave and a K wave.

Further, the calculation method of the pulse wave conduction time PPT between the sensing points comprises the following steps: and obtaining the J waves of all the sensing points, and solving the time difference (less than a JJ interval) of the J waves between the sensing points, namely the pulse wave conduction time PPT between the sensing points.

Specifically, the blood pressure calculating unit in step (4) calculates the value of blood pressure, i.e. BP, based on the BCG signal characteristic quantity obtained in step (3)＝F(L，T_HI，T_IJ，T_HIJ，A_IJ，T_JJ，T_PPT) Where the specific formula for the F function is not expanded here, L is the distance matrix between the individual sensor points, T_HI、T_IJ、T_HIJFor the respective HI, IJ, HIJ pulse width interval matrix, A, of the individual sensor points_IJFor the IJ amplitude matrix, T, of the individual sensing points_JJA JJ interval matrix, T, for each sensing point_PPTIs a pulse wave transit time matrix between the sensing points.

In a specific application, the BCG signal acquisition unit with multiple sensing points, the signal processing unit and the blood pressure calculating unit are all implanted into the mattress. When the testee is in a sleep state, the heart function of the testee can be monitored in real time, and more accurate and comprehensive data can be obtained if the testee insists on long-term use. The non-contact blood pressure measuring method has better user experience and is easy to popularize and use.

Fig. 2 is a flowchart of a multi-sensor blood pressure monitoring method based on BCG signals according to an embodiment of the present invention, which specifically includes the following steps:

s1, acquiring BCG signals of the heart area and the leg area through sensors arranged in the heart area and the leg area of the human body;

s2, the signal processing module performs band-pass filtering amplification on the acquired original BCG signal, wherein the band-pass frequency range is 0.8 Hz-10 Hz;

s3, acquiring a 2S data window of the processed BCG signal, and carrying out amplitude monitoring and data validity judgment; when the signal intensity is greater than the threshold value 1, the user is considered to be in a body movement state at the moment, when the signal intensity is less than the threshold value 2, the monitoring area is considered to be free of people or the signal is weak, and the BCG signal is judged to be invalid under the two conditions; the threshold value 1 is larger than the threshold value 2, and the BCG signal is judged to be effective only when the signal strength is between the threshold value 2 and the threshold value 1;

s4, collecting a 10S data window of the effective BCG signal, detecting a peak-valley value, and calibrating H, I, J, K waves of each cycle of the BCG signal in the window;

s5, calculating the BCG signal per acquired S4HI interval, IJ interval, HIJ pulse width, IJ amplitude, JJ interval of each cycle, and calculating the average thereof: t is_HI，T_IJ，T_HIJ，A_IJ，T_JJ；

S6, calculating the J wave time difference corresponding to all the periods of the BCG signals of the head and the legs acquired at S4, and calculating the average value T of the J wave time difference_PPT(ii) a And

and S7, calculating the blood pressure value according to the BCG signal characteristic quantity extracted in S5 and S6.

The embodiment of the utility model provides a blood pressure check device still provides, adopts above-mentioned multisensing blood pressure monitoring method, and the device includes signal acquisition module, signal processing module and blood pressure calculation module, and wherein sensor, signal processing module that signal acquisition module includes that regional multiple spot lays include signal filtering amplification unit and BCG signal characteristic extraction module.

Fig. 3 is a mattress with a blood pressure detecting device according to an embodiment of the present invention, as shown in fig. 3, the mattress 4 includes a belt sensor 11 in the heart region, a belt sensor 12 in the leg region, a signal filtering and amplifying unit 21, a BCG signal feature extraction module 22, a blood pressure calculation module 23, and a wireless data transmission module 3, and these sensors and modules are all disposed inside the mattress. The strip sensors 11 and 12 are respectively used for collecting BCG signals of the heart and the legs, the strip sensors may be optical fiber sensors, piezoelectric film sensors or piezoelectric cable sensors, and then the signals are transmitted to the signal filtering and amplifying unit 21 for filtering and amplifying, the BCG signal feature extraction module 22 extracts feature quantities of the signals, and finally the signals enter the blood pressure calculation module 23 to measure blood pressure values, and the measurement results can be displayed on the terminal device through the wireless data transmission module 3.

Fig. 4 shows another mattress with a blood pressure detecting device according to an embodiment of the present invention, as can be seen from the figure, the mattress 4 includes

lattice sensors

111, 112 and 113 in the heart region,

lattice sensors

121, 122 and 123 in the back region,

lattice sensors

131, 132 and 133 in the leg region, a signal filtering and amplifying unit 21, a BCG signal feature extraction module 22, a blood pressure calculation module 23 and a wireless data transmission module 3, and these sensors and modules are all disposed inside the mattress. The lattice sensor can be a piezoelectric film, piezoelectric ceramics, an acceleration sensor or a gyroscope sensor. The working principle of the mattress is the same as the above embodiments.

In the aspect of sensor arrangement, besides the strip arrangement and the dot matrix arrangement, other arrangement modes can be adopted according to human body characteristics.

The mattress can be a common mattress, for example, the upper part of the mattress comprises a spongy cushion, and the lower part of the mattress is provided with a device for adjusting the hardness. The sensor is embedded in the digging hole in the spongy cushion, so that sensing signals can be received, and discomfort can not be brought to a user of the mattress; the signal processing module and the blood pressure calculating module are also arranged in the mattress, and are buried in the mattress in a thickness which is not interfered by the weight of a user. The above arrangement should be well known to those skilled in the art.

It is to be understood that both the singular and the plural of elements and components may be used if not explicitly limited in number, and that no limitation to the number of elements or components is intended in scope.

The above description is only exemplary of the present invention and should not be taken as limiting the scope of the present invention, as any modifications, equivalents, improvements and the like made within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims

1. A BCG signal based multi-sensor blood pressure detection device comprising:

the BCG signal acquisition module comprises a sensor which is arranged in multiple points;

the signal processing module comprises a signal filtering and amplifying unit and a BCG signal feature extraction module; and

and a blood pressure calculating module.

2. The multi-sensor blood pressure monitor of claim 1, wherein said sensors are respectively disposed at different locations in a body-parallel direction or a body-perpendicular direction.

3. The multi-sensing blood pressure sensing device of claim 2, wherein said sensor is a piezoelectric film sensor, a piezoelectric ceramic sensor, a piezoelectric cable sensor, an acceleration sensor, a gyroscope sensor, or an optical fiber sensor.

4. A mattress comprising a multi-sensor blood pressure detection device according to any one of claims 1-3.

5. The mattress of claim 4 wherein said sensors are in a strip or dot matrix arrangement.

6. The mattress of claim 5, wherein the multi-sensor blood pressure detection device is disposed within the mattress.

7. The mattress of claim 4, further comprising a wireless data transmission module disposed within the mattress.