Body status continuously and real-time monitoring system and method

Abstract

The invention relates to a sound-based body status continuously and real-time monitoring system and method. According to an embodiment, the sound-based body status continuously and real-time monitoring system comprises a sound collecting module, a sound storage module, a sound analyzing module and a sound determining module, wherein the sound collecting module is configured to continuously collecting monitored signals related to sounds produced by a specific body part; the sound storage module is configured to converting the monitored signals into digital sound data and storing the digital sound data; the sound analyzing module is configured to timely cutting the digital sound data into sound fragments and in real time analyze the sound fragments to determine the probability of pathological feature sounds contained in the sound fragments; the sound determining module is configured to determine body status at least on the basis of the probability of the pathological feature sounds. Thesound-based body status continuously and real-time monitoring system can replace medical workers to continuously monitor breath sounds and bowel sounds of a body, intelligently identify abnormal pathological sounds and issue alarming in a visual manner, thereby being applicable to monitoring of intensive care units and postoperative care units.

Description

technical field [0001] The present invention generally relates to the technical field of intelligent medical auxiliary monitoring, and more specifically relates to a system and method for continuous real-time intelligent monitoring of human body status through voice recognition based on machine learning. Background technique [0002] At present, in the medical field, the monitoring of vital signs of the human body includes main indicators such as body temperature, pulse, blood pressure, blood oxygen saturation, chest and abdomen breath sounds, and bowel sounds, among which indicators such as body temperature, pulse, blood pressure, and blood oxygen saturation All have mature digital equipment and can implement continuous long-term monitoring. However, for sound signal indicators such as breath sounds and bowel sounds, the diagnosis still mainly depends on the doctor's sounding through the ear or stethoscope, and there is no digital continuous monitoring method. [0003] For...

AI Technical Summary

Problems solved by technology

For bowel sounds, they are highly random and mixed with interference from internal heart and lung sounds, pulse, etc. At present, they can only rely on the doctor's auscultation and subjective experience, and there is also a lack of effective continuous and real-time monitoring methods

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