自适应滤波和脉冲质量选择的视频呼吸率测量方法

By employing adaptive filtering and pulse quality selection, optical flow information and Chebyshev filtering are used to remove motion noise and select the optimal sub-region. This solves the problems of ambient lighting and motion artifact interference in existing methods and enables stable respiratory rate measurement in various motion scenarios.

CN117462111BActive Publication Date: 2026-07-17HEFEI UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEFEI UNIV OF TECH
Filing Date
2023-11-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing non-contact respiratory rate measurement methods are susceptible to changes in ambient light and motion artifacts, and do not fully utilize the noise reduction information from the rigid motion of the human body, which is not respiratory, leading to measurement instability.

Method used

An adaptive filtering and pulse quality selection method is adopted. The region of interest is located using the Mediapipe pose tool. Optical flow information is used to generate and denoise the signal. The respiratory signal is extracted by combining Chebyshev filtering and pulse quality selection methods. The optimal sub-region is selected for respiratory rate calculation.

Benefits of technology

The robustness and accuracy of respiratory measurement were improved in various spontaneous motion scenarios, interference from non-target areas was reduced, and stable respiratory rate extraction was achieved.

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Abstract

本发明公开了一种基于自适应滤波和脉冲质量选择的视频呼吸率测量方法,其步骤包括:1使用Mediapipe pose检测实时追踪胸腹部的感兴趣区域(ROI),并将ROI划分为多个子区域;2使用稠密逆向搜索(DIS)光流法提取每个子区域内像素点的水平和垂直方向速度变化形成两个方向的运动信息;3在运动场景下使用水平方向运动信息作为噪声参考信号,利用自适应滤波方法去除运动噪声,得到干净的呼吸信号;4使用脉冲质量选择方法计算出最终呼吸率值。本发明能实现在多种自发运动场景下更加鲁棒的呼吸测量,从而能提升测量准确性。
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