Magnetic induction type electronic stethoscope probe based on MEMS technology

Abstract

The invention relates to a magnetic induction type electronic stethoscope probe based on an MEMS technology, and solves the problem that the sensitivity and the signal-to-noise ratio of an existing heart sound sensor are mutually restricted. The electronic stethoscope probe comprises a negative pressure bag, a heart sound probe shell, a connecting body, a chip packaging shell, an MEMS acoustic sensor microstructure and an induction film which are sequentially nested together in a mortise and tenon joint mode, and a magnet is arranged on the induction film. According to the electronic stethoscope probe, heart sound signals are converted and separated from external environment vibration noise for specific detection, the influence of the environment noise on heart sound signal detection is reduced, the anti-interference capability of the electronic stethoscope probe is improved, and the heart sound detection accuracy is improved. Meanwhile, the heart sound signals acquired by the sensor are original signals, so that the difficulty of a rear-end signal processing circuit and a 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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