In-bed and off-bed detection method, detection system, equipment and storage medium

Abstract

The invention provides an in-bed and off-bed detection method. The method comprises the following steps: providing a neural network and a training signal, and dividing the training signal into a static signal, a body movement signal, a discharge signal and a stable signal as a template signal group; training the neural network to obtain a trained neural network; inputting continuous online signals collected within a predetermined time period as unit input signals into the trained neural network, and outputting state information corresponding to the unit input signals by the trained neural network; comparing the state information of two unit input signals adjacent in time sequence according to a preset rule, and outputting an in-bed result or an off-bed result; and judging the in-bed state and the off-bed state according to the in-bed result or the off-bed result, so that the in-bed and off-bed judgment accuracy is improved, and the detection time delay is reduced. The invention further provides a detection system which comprises a signal processing module, a training module and a judgment module. The invention further provides equipment and a storage medium.

Description

technical field [0001] The present invention relates to the technical field of signal detection, in particular to a detection method, detection system, equipment and storage medium for in-bed and out-of-bed detection. Background technique [0002] Ballistocardiography (BCG, ballistocardiography) is a non-invasive, non-contact cardiovascular function monitoring signal, which refers to the use of instruments sensitive to pressure changes to capture the pressure change signals generated by a series of corresponding weak movements of the human body caused by heart beats. , and convert this pressure change signal into an electrical signal and draw it into a waveform and record it. This waveform signal is the BCG signal. [0003] Most of the existing methods for judging in-bed and out-of-bed are based on the threshold method of the amplitude and energy of BCG signal. If the amplitude and energy thresholds are set according to experience, if the amplitude and energy of the current...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a bed-leaving detection method, detection system, equipment and storage medium to solve the problem of low accuracy in judging whether to leave the bed and a large delay in detecting the bed-leaving

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