A background noise suppression method for human physiological parameter detection based on IPPG technology

By using the IPPG technology to detect human physiological parameters, skin tissue videos are acquired and processed. The RGB channels are separated to remove noise, the smallest blood volume frame is locked, and image quantization noise is processed. This solves the problem of inaccurate detection caused by human background noise, improves detection accuracy, and assists in disease diagnosis.

CN117372277BActive Publication Date: 2026-07-17BEIJING INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF TECH
Filing Date
2022-06-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing IPPG technology suffers from low accuracy in detecting human physiological parameters due to complex background noise, which affects the accuracy of disease diagnosis.

Method used

By acquiring videos of the subject's skin tissue, image processing was performed, regions of interest were selected, pixel mean was calculated, RGB channels were separated to remove high-frequency noise, image frames with the smallest or largest blood volume were locked, and grayscale expectation processing was performed on multiple consecutive frames to remove image quantization noise and extract physiological parameters.

Benefits of technology

It improves the accuracy of human physiological parameter detection, reduces the influence of background noise, and assists doctors in making better disease diagnoses.

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Abstract

The present application relates to a kind of background noise suppression method of human physiological parameter detection based on IPPG technology, belong to physiological signal detection field.The present application obtains the curve of image gray along time sequence by IPPG technology to video image processing, that is, the embodiment of blood volume change caused by cardiac systole in image light intensity periodic change.By locking the phase information of systole or diastole of heart, i.e., the optical characteristics extraction and analysis of the image of blood volume minimum or maximum moment acquired by imaging sensor, the influence of human background dynamic change on physiological signal detection when extracting physiological parameter information from image information at any time can be avoided, to achieve the purpose of suppressing human time-varying background noise.The present application carries out background noise suppression for the fluctuation of human physiological background information, such as metabolism, emotion, blood pressure, body temperature, sweating and health status, etc., when different technologies are used for human physiological parameter detection, which leads to the problem of low accuracy of physiological parameter detection, and improves the detection accuracy of physiological parameter.
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