Heartbeat detection method based on ballistocardiogram

Abstract

The invention relates to a heartbeat detection method based on a ballistocardiogram. The heartbeat detection method comprises steps of signal filtering, template extraction, similarity comparison, dynamic threshold positioning and the like. The method specifically includes: signal filtering: suppressing high-frequency interference and low-frequency drift noise in the received BCG signal through adigital FIR band-pass filter; template extraction: requiring a testee to remain stationary for a period of time TA at the beginning of the test; calculation of correlation coefficient: in a relativelyshort time, the extracted template has an extremely high linear correlation with the correct waveform collected in real time, and Pearson correlation coefficient can indicate the similarity between the sample collected in real time and the template extracted in the step; and a multi-parameter adaptive adjustment and judgment algorithm, which can further improve accuracy of heartbeat position judgment. The method can quickly extract BCG template waveform suitable for a current subject, and obtain accurate heartbeat position through waveform comparison and detection optimization algorithm, andprovides a basis for heart rate analysis based on non-invasive heartbeat chart.

Description

technical field [0001] The invention belongs to the field of biomedicine, and in particular relates to a heartbeat detection method based on a ballistocardiogram. Background technique [0002] Heartbeat detection and the analysis of the heart rate change rate based on the detection can effectively evaluate the activity state of the sympathetic and parasympathetic nerves of the subject, thereby inferring various physiological and psychological state information such as emotional changes, stress levels, and sleep quality of the subject , It is of positive significance to the health monitoring and health care of the subjects. Traditional heartbeat detection based on ECG (electrocardiogram) has the advantages of obvious signal characteristics, easy detection, simple algorithm, and high detection accuracy. Great restrictions are imposed on the normal activities of the subjects during the test. Compared with the acquisition of ECG, the BCG system generally uses non-contact senso...

AI Technical Summary

Problems solved by technology

In order to obtain higher-precision detection, Chinese patents CN103156622A and CN104605858A point out that the use of waveform image recognition has become the mainstream trend, and the corresponding standard BCG waveform is selected by using external image, motion and other sensors to obtain the body posture, motion and other states of the subject As a graphic comparison reference to detect heartbeat information, but has the following disadvantages: 1. Additional sensors increase the cost of detection and reduce the convenience of detection; 2. The standard BCG waveform used as a reference has typical characteristics, but it is not well applicable. for each subject

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