Respiration and heartbeat signal separation method and device based on blind source separation

Abstract

The invention provides a respiration and heartbeat signal separation method and device based on blind source separation. The method comprises the steps that 1, time frequency domain analysis is conducted on all biological radar echo signals, and time-frequency distribution signals of biological radar echoes corresponding to all targets are obtained; 2, on the basis of the time-frequency distribution signals, frequency spectrum centroid curves of all the biological radar echoes are obtained; 3, all the frequency spectrum centroid curves serve as observed signals, blind source separation is conducted, and micro change signals corresponding to all the targets are obtained; 4, filtering is conducted on the micro change signals, and respiratory time-varying signals and heartbeat time-varying signals which correspond to all the targets are obtained. According to the respiration and heartbeat signal separation method and device based on blind source separation, the biological radar echo signals of two target human bodies can be processed, and the respiration and heartbeat signals for each target are separated out.

Description

technical field [0001] The invention relates to the field of biomedical signal processing, in particular to a method and device for separating respiratory and heartbeat signals based on blind source separation. Background technique [0002] Vital parameters such as breathing and heartbeat of the human body are key measurement objects for disease diagnosis and monitoring of human health status. At present, the measurement of vital parameters of breathing and heartbeat has developed from traditional contact measurement methods such as electrocardiogram and breathing belt to non-contact detection methods based on bioradar. Bio-radar emits electromagnetic waves in the microwave or terahertz band, and its echoes are modulated by body surface micro-movements caused by human breathing, heartbeat and other life activities. Measure precisely. [0003] At present, the bio-radar researched at home and abroad is mostly aimed at single human body targets, but in actual family health mo...

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Problems solved by technology

[0003] At present, the bio-radar researched at home and abroad is mostly aimed at single-person human targets, but in actual family health monitoring, the detection target is often not limited to a single individual, for example, real-time monitoring and early warning of the breathing and heartbeat of elderly couples during sleep, If the breathing and heartbeat signal processing method of the conventional biological radar is used, the breathing signals of two people will be mixed together because the breathing signals of the two people are at similar frequencies and the heartbeat signals of the two people will be at similar frequencies, resulting in the inability to detect the breathing of each human target. Effective separation from heartbeat signal

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