Signal processing method for borborygmus signal monitoring system

Abstract

The invention discloses a signal processing method for a borborygmus signal monitoring system. According to the method, after borborygmus data are quantized into digital signals with sampling rate of Fs by a microphone, the digital signals are treated based on the self-adaptive filtering algorithm and sectioned according to window length, the signal frequency spectrum of each signal section is solved by means of the fast Fourier transform algorithm, the signal frequency spectra are firstly applied to intensity detection, then subjected to correlation-based detection and analysis with a median frequency spectrum model within the frequency band to be tested, and finally sent to a comparator to be compared with a reference value, only the signals with correlation coefficients high enough can be shown in a data window as borborygmus signals and presented by the output result 1, and 0 is output otherwise. On this basis, RIM, IMF and AMT are also provided to be used for evaluating the intestinal tract activity condition of a testee. The method is used for the wearable human body borborygmus signal monitoring system and can be implanted in equipment hardware or a monitoring server in hospital, and the position of a borborygmus of the testee can be marked according to borborygmus signals input into the system, so that technical support is provided for a doctor to offer reasonable postoperative rehabilitation nursing to abdominal surgery patients.

Description

technical field [0001] The invention belongs to the technical field of signal processing of medical monitoring equipment, and relates to a signal processing method for a bowel sound signal monitoring system. Background technique [0002] Bowel sounds reflect the state of human digestive tract activity and provide important clinical reference data for doctors. Whether and when bowel motility returns in patients who have undergone abdominal surgery determines the postoperative care and feeding regimen. However, at this stage, the recovery of the intestinal motility of the patient is detected by judging whether the patient has bowel sounds, and whether to provide the patient with nutrient solution, liquid food or solid food still relies on the subjective experience of the doctor, which is often conservative. estimate. This is not conducive to the chief doctor's immediate teaching guidance for doctors in clinical practice, and it is not conducive to reducing the hospital's ope...

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Problems solved by technology

[0007] Bayesian algorithm, STFT (short-time Fourier transform) or Wigner-Ville distribution are often used in signal processing and analysis, but the calculation time is long, the space complexity consumption is very large, and it is not suitable for the fast processing and calculation of wearable small hardware. Difficult to apply in clinical practice

In addition, although there are precedents for providing doctors with direct diagnosis and treatment data based on processed bowel sounds, these studies still use highly subjective intestinal activity evaluation, and do not objectively identify, compare and mark the location of bowel sounds Quantitative method

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