Heartbeat detection method based on cuff device

Abstract

The invention discloses a heartbeat detection method based on a cuff device, which comprise the following steps of: S1, collecting electrocardio-signals and non-physical signals of a moving human body, the non-physical signals comprising acceleration signals, posture signals and geographic location signals of a human body, and wherein utilizing electrocardio-electrodes with plurality of passages to collect electrocardio-signals; S2, extracting the heart clap template of a moving human body; S3, carrying out R-wave extraction of each passage by using the collected electrocardio-signals, the non-physical signals and the heart clap template to obtain a R-wave sequence; S4, and carrying out phase detection to the electrocardio-signals of each passage to obtain the phase differences of each passage with time change because of the position of the electrodes, obtaining the RR interphase sequence according to the information of the phase differences so as to obtain heartbeat signals. The method has the advantages of high accuracy and strong noise removing capacity.

Description

Technical field [0001] The invention relates to the technical field of signal processing, in particular to a heart rate detection method based on a cuff device. Background technique [0002] As people’s quality of life has improved, so has the importance of health. Sports and fitness exercises have become important means to prevent diseases, change lifestyles, and improve the quality of life. During exercise and fitness, real-time monitoring of the physiological state of the human body during exercise is a necessary measure to ensure exercise safety. Human body information during exercise includes physiological information and non-physiological information. [0003] Physiological information includes heart rate, myoelectricity, and skin impedance. Non-physiological information is mainly movement information, including movement speed, acceleration, distance, posture and geographic location information. The heart rate in physiological information is an important indicator. Heart...

AI Technical Summary

Problems solved by technology

[0006] (1) Most of the existing related patent technologies at home and abroad use chest strap electrodes to collect ECG signals. The main problem of this method is that it is not comfortable to wear, especially not suitable for wearing during sports

At the same time, the chest is prone to sweat during exercise, which will affect the accuracy of detection

Therefore, the chest belt type exercise heart rate signal detection device is difficult to be adopted by most users, thus affecting the popularization and application of the technology

[0007] (2) Some of the existing related patent technologies at home and abroad still use the wrist radial artery pulse measurement method to obtain the heart rate. However, this method has the problems of weak pulse signal and easy deviation of the detection position, which can easily affect the accuracy of heart rate detection. sex

Especially not suitable for heart rate detection during exercise

Weak signals are often submerged in large-amplitude motion noise, and most of the noise caused by motion is non-stationary noise, which makes signal detection more difficult

Lead to low heart rate detection rate and low user evaluation

Therefore, the wrist radial artery acquisition method is not suitable for heart rate detection during exercise

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