Method and application for acquiring HRV based on piezoelectric sensor

Abstract

The invention provides a method for acquiring HRV based on a piezoelectric sensor. The method comprises the steps that non-contact signals are collected; BCG signals are separated; the BCG signals aresubjected to noise reduction treatment; HRV time domain parameters are calculated; HRV frequency domain parameters are parsed. According to the method, the problem is solved that existing wearable products need to be directly in contact with objects to be tested when collecting signals and limit motion of the objects to be tested so that inconvenience can be caused, a pressure sensor is used forcollecting the signals, whole physical characteristics of the BCG signals can be completed retained, and analysis based on the BCG signal cardiac cycle, the HRV and the like is more precisely supported. According to the method for acquiring HRV based on the piezoelectric sensor, HRV time domain parameters SDNN and PNN50 and HRV frequency domain parameters TP, HF, LF and LF / HF can be precisely acquired and are matched with various established healthy models, analysis of the individualized health trend, anti-pressure ability, fatigue index, sleeping ability and the like of testers is achieved, and then the heart health trend, anti-pressure ability, fatigue index and sleeping ability of the testers can be precisely judged.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and application for acquiring HRV based on piezoelectric sensing. Background technique [0002] Heart rate variability (HRV) refers to the change of heart rate rhythm over time. HRV is to analyze the subtle time changes and their regularity of each cardiac cycle. This kind of change is often difficult to detect on the conventional electrocardiogram recorded on the body surface or is negligible because it is small. The regular sinus rhythm that is customarily described on the conventional electrocardiogram is by no means equal to the absence of heart rate variation. The research object of HRV is only the time difference between successive cardiac cycles. Listing the differences between each cardiac cycle in the human body can show that a large number of seemingly disordered parameters reflect the continuous instantaneous fluctuation of heart rate. The fluctuation of he...

AI Technical Summary

Problems solved by technology

However, when using this method for data collection, it still needs to be in contact with the human body, that is, it still needs to be assisted by wearing equipment. In this way, the measured patient needs to wear a Holter monitor or other proprietary measurement equipment, and many actions of the user will be restricted.

[0007] There are also some scientific studies that have proposed the use of non-contact piezoelectric sensing methods to obtain HRV signals, but because the physiological signals of the ballistocardiogram (BCG) collected by piezoelectric sensing are passively sensed, the obtained signals are complicated and difficult to process. A very good processing method, many studies are ultimately unable to obtain accurate HRV signals because of the inability to process complex ballistocardiogram (BCG) signals, and thus cannot achieve industrialization

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