Position-independent respiration monitoring method based on acoustic environment response

Abstract

The invention provides a position-independent respiration detection method based on acoustic environment response. The position-independent respiration detection method comprises the following steps that a sound wave emitter and a receiver are arranged indoors, wherein the sound wave emitter circularly emits an excitation signal, and the excitation signal is an extremely short broadband signal andis formed by splicing a windowed frequency modulation signal and a 0 sequence; the receiver receives a signal with the same length as the excitation signal in real time, and continuously calculates aCFR sequence in a set frequency band; then, a matrix with a fifo function is filled continuously, de-trending is performed on each frequency point in a time dimension and autocorrelation is calculated after filling, and then several sections of CFR sequences with the strongest autocorrelation are extracted and normalizing of the CFR sequences is carried out; and finally, continuous waveform synthesis is carried out on the sequences, and polling is performed to realize respiratory monitoring of an object in a resting state. The problem that traditional respiration detection based on acoustic ranging and the respiratory airflow Doppler effect is sensitive to the direction of an object can be solved, and respiration detection irrelevant to the position can be achieved.

Description

technical field [0001] The invention belongs to the technical field of respiration monitoring, and in particular relates to a sleep respiration monitoring method that utilizes sound wave signals indoors in a non-contact manner and does not need a transceiver device to face an object. Background technique [0002] Respiration is one of the most basic and important physiological signs of animals. Humans or livestock are prone to respiratory diseases, which can lead to varying degrees of pathological breathing processes. For example, compared with normal breathing, some diseases can cause breathing There are different symptoms such as shortness of breath, dyspnea, and dyspnea. Therefore, continuous respiratory monitoring is an important means to judge their health status, and then carry out disease prevention and control. With the rapid development of sensing technology and information technology, nondestructive and automatic respiratory monitoring technology has gradually bec...

AI Technical Summary

Problems solved by technology

The contact method uses specific sensors such as pressure-sensitive, gas-sensitive or heat-sensitive in wearable devices to achieve respiratory monitoring by measuring chest and abdomen movement, breathing sound, respiratory airflow, etc., but it is expensive, intrusive, and must be monitored at any time Difficulty in carrying

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