Static human heartbeat and respiration signal separation and reconstruction method based on OMP

Abstract

The invention provides a static human body heartbeat and respiration signal separation and reconstruction method based on OMP. The method comprises the steps of firstly, acquiring distance informationof a human body target through analysis and calculation according to actual human body target detection data, and constructing a distance time graph; then performing direct current offset correctionon the I / Q signals, and calculating phase information through an arc tangent function; performing phase unwrapping on the detected to-be-detected human body target based on an extended DACM algorithmof derivation operation, solving the problem of phase ambiguity, and performing phase difference to enhance heartbeat signals; and using two two-stage cascaded four-order IIR band-pass filters for separating heartbeat signals from breathing signals, and finally completing separation and reconstruction of the breathing signals and the heartbeat signals through a compressed sensing theory and an OMPalgorithm. The invention innovatively provides the static human body heartbeat and respiratory signal separation and reconstruction method based on orthogonal matching pursuit, the influence of harmonic waves and noise on heart rate and respiratory rate estimation is effectively reduced, and the accuracy of final heartbeat and respiratory rate estimation is greatly improved.

Description

technical field [0001] The invention is mainly used for life signal detection, and particularly relates to an OMP-based method for separating and reconstructing static human heartbeat and breathing signals. Background technique [0002] Traditional vital signal detection methods include pressure sensor method, electrocardiogram method and other methods. However, these methods achieve the purpose of monitoring heartbeat and breathing signals through direct contact with the body, making the subject feel uncomfortable or even unable to detect. At the same time, because various physiological activities of the human body cause body surface micro-movements, the detection results of the contact method will be disturbed by the body surface micro-movements. The non-contact life signal detection technology can detect breathing and heartbeat signals without touching the body, and can provide a more relaxed and comfortable experience for the human body. The non-contact monitoring sens...

AI Technical Summary

Problems solved by technology

However, because the chest displacement caused by breathing movement is much greater than the heartbeat, the amplitude of the breathing signal in the vital signal is much larger than that of the heartbeat signal, so the amplitude of the high-order harmonics of the breathing signal may exceed the amplitude of the heartbeat signal, causing great interference to the extraction of the heartbeat signal

When the spectrum of signal and noise overlaps, the accuracy of respiration and heartbeat signal estimation is severely degraded, and even cannot be recovered

It is worth noting that some researchers have proposed empirical mode decomposition to separate breathing and heartbeat signals, but its computational overhead is very large

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