A method for analyzing cardiac shock signals to calculate short-term heart rate values

Abstract

The invention relates to a method for calculating a short-term heart rate by analyzing a heart shock signal. The method comprises the following steps: establishing a BCG and ECG signal database in advance, and obtaining a connectionist model of each time interval and a threshold value thereof of a BCG signal in a short term; taking one-order difference arithmetic from the BCG signal, and then converting into an energy signal; taking the maximum value in the energy signal; removing overlarge amplitude coordinate points, calculating time intervals of the rest adjacent maximum values, and substituting into the connectionist model to obtain the threshold value of each time interval; repeatedly carrying out time interval threshold value filtering until all the time intervals are respectively more than the minimum of the threshold values; and removing the time intervals more than the maximum value of the threshold values, and then calculating the average heart rate. The method provided by the invention has the advantage that the short-term average heart rate can be rapidly and accurately obtained under the condition of low calculation amount.

Description

technical field [0001] The present invention relates to a method for heart rate measurement, in particular to a method for analyzing cardiac shock signals to calculate short-term heart rate values. Background technique [0002] With the progress of society, the concept of preventive medicine and health management has gradually received attention, and the monitoring of physiological signals has become a popular research project. The non-invasive or non-contact monitoring method can give the subjects better comfort when measuring physiological signals, and is suitable for the general public to use at home, thus attracting the attention of many researchers. Among them, the use of ballistocardiogram (BCG) to monitor cardiovascular function has become a widely discussed research project in recent years. [0003] The most common way to monitor heart function is to use electrocardiogram (ECG), the principle is that changes in electrical potential during heart activity can be refle...

AI Technical Summary

Problems solved by technology

[0011] Although the above-mentioned patents all propose feasible heart rate calculation systems or methods, the methods may only be applicable to signal analysis without interference, or may not be suitable for short-term heart rate calculations, so there is still room for improvement

The first patent is mainly for the measurement of lying down during sleep, and may not be applicable to BCG signals obtained in other postures

The number of samples measured in the second patent and related paper research is only 17 people, and the accuracy of the measurement for most people is not stated in the patent

Although the method of the third patent is simple and effective, it requires the user to keep still to avoid the occurrence of large noise, such as the interference of movement causing inaccurate calculations

The fourth patent obtains the heartbeat through the identification of the feature vector. Although it can improve the accuracy and is not easily affected by irregular heartbeats, the computational resources required are relatively high, and the proposed method needs to be learned from individual signals first. stage, it is quite effective for long-term heart rate monitoring, but less suitable for short-term heart rate calculation

Although the fifth patent can greatly reduce the amount of calculation, how to determine the time threshold (threshold) in the two-dimensional sorting is not explained in detail, and this patent only discusses the BCG signal obtained in a sitting or lying position, and does not mention Whether it is applicable to the signal obtained by standing position

Although the sixth patent can obtain a fairly high accuracy rate, because it is necessary to measure the impedance value of the human body, the heart rate must be measured barefoot, which causes inconvenience during the measurement.

Since the BCG signal varies greatly among individuals, the use of a fixed ratio for the threshold will inevitably reduce the accuracy of heart rate calculation for some subjects.

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