Magnetic-inductive electronic stethoscope probe based on mems technology

Abstract

The invention is a magnetic induction electronic stethoscope probe based on MEMS technology, which solves the mutual restriction problem of sensitivity and signal-to-noise ratio existing in heart sound sensors. The electronic stethoscope probe of the present invention includes negative pressure capsules, heart sound probe housings, connectors, chip packaging housings, MEMS acoustic sensor microstructures and sensing films, which are sequentially nested together with mortise and tenon joints, and magnets are arranged on the sensing films. The electronic stethoscope probe of the present invention converts and separates the heart sound signal from the vibration noise of the external environment for specific detection, reduces the influence of environmental noise on the detection of the heart sound signal, improves its anti-interference ability, and improves the accuracy of heart sound detection. At the same time, since the heart sound signal acquired by the sensor is the original signal, the difficulty of the back-end signal processing circuit and the denoising algorithm is reduced.

Description

technical field [0001] The invention relates to the technical field of sensors, in particular to a sensor probe for detecting heart sound signals, in particular to a magnetic induction electronic stethoscope probe based on MEMS technology which can specifically convert heart sound signals and has strong anti-interference ability. Background technique [0002] Since the heart sound signal in clinical practice is an extremely weak vibration signal, a sensor with high sensitivity is required to detect this signal. However, as the sensitivity of the sensor to the heart sound signal increases, its sensitivity to the surrounding environmental noise will also increase in direct proportion; and the frequency range of the normal heart sound is between 20 and 600 Hz, and the frequency overlap with the environmental noise is relatively large. It has brought a huge problem to the filter noise reduction work of the back-end processing circuit. However, the amplitude and frequency of hea...

AI Technical Summary

Problems solved by technology

However, as the sensitivity of the sensor to the heart sound signal increases, its sensitivity to the surrounding environmental noise will also increase in direct proportion; and the frequency range of the normal heart sound is between 20 and 600 Hz, and the frequency overlap with the environmental noise is relatively large. It brings a huge problem to the filtering and noise reduction work of the back-end processing circuit

However, the amplitude and frequency of heart murmur signals often have large uncertainties. If only relying on the algorithm to reduce noise, it is easy to mistake the heart murmur signal containing pathological information as "noise" and process it. The detected heart sound signal loses the significance of pathological research

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