Non-contact cardiopulmonary coupling evaluation method

Abstract

The invention discloses a non-contact type cardiopulmonary coupling evaluation method, which comprises the following steps of: correctly detecting a pulse signal and a respiration signal of a shot person by shooting a video image of the upper part of a human body in a quiet state, carrying out cardiopulmonary coupling time domain and frequency domain analysis, and evaluating and measuring the cardiopulmonary coupling strength. The method comprises the following steps: shooting an upper body video of a subject through a camera, performing Gaussian pyramid decomposition and Laplacian pyramid decomposition on the video, and amplifying pulse-related color change and upper body motion information caused by respiration in the video; a head and face region of interest containing pulse information and a thoracic and abdominal region of interest containing respiratory movement are automatically extracted, brightness information in the regions of interest is calculated, so that pulse signals and respiratory signals are extracted, time domain and frequency domain analysis of cardiopulmonary coupling is carried out through synchronization processing of the pulse signals and the respiratory signals, and the accuracy of heart and lung analysis is improved. And carrying out cardiopulmonary coupling evaluation according to the coupling strength.

Description

technical field [0001] The invention relates to a non-contact cardiopulmonary coupling evaluation device and method, which can monitor the subject's pulse and respiratory signals in a non-contact manner, and measure and analyze the cardiopulmonary coupling strength, so as to realize the Early warning of systemic diseases and determination of respiratory status. Background technique [0002] Cardiopulmonary coupling analysis was proposed by C.K.Peng of Harvard Medical School in 2005. It is mainly used in sleep structure, quality analysis, and sleep apnea discrimination. Time-frequency domain parameters, and then analyze the relationship between each parameter and the physiological mechanism, have been applied in the research of sleep apnea, cardiovascular disease and so on. [0003] Cardiopulmonary coupling analysis is used to evaluate the coupling strength of heart rate and respiratory signals, and there are many analysis methods, including time domain analysis, frequency d...

AI Technical Summary

Problems solved by technology

However, due to the different acquisition sites and acquisition parameters required for the video analysis of the subject's breathing and pulse signals, there is still a lack of research on simultaneously acquiring the subject's breathing and pulse through video.

On the other hand, traditional cardiopulmonary coupling analysis is based on ECG signals, which can naturally synchronize breathing and heart rate signals; however, there is still a lack of research on the synchronization of breathing and pulse signals obtained through video analysis.

Therefore, although the video-based analysis method provides a promising technical method for non-contact cardiopulmonary coupling analysis, there are still many technical difficulties and bottlenecks, and it is difficult to meet the needs of cardiopulmonary coupling evaluation.

Images