Multi-camera-based non-contact type vital sign parameter seamless detection method

Abstract

The invention provides a multi-camera-based non-contact type vital sign parameter detection method. The method is characterized in that P cameras are used for simultaneously collecting video signals of the upper half of the human body, and color channel data containing the largest number of region-of-interest pixels in the P cameras is selected to form a pixel mean value optimization set; then, anoverall average empirical mode decomposition method is adopted for decomposition, and the optimal intrinsic mode component is determined by setting a vital sign parameter range; finally, a peak valuedetection algorithm is adopted for the best intrinsic mode component to obtain a vital sign parameter detection result. The invention provides the multi-camera-based non-contact type vital sign parameter seamless detection method so that the defect of a non-contact type vital sign parameter detection technology using a single camera can be overcome, and therefore non-contact, continuous and accurate vital sign parameter detection of clinical disease diagnosis and treatment and daily health monitoring is achieved.

Description

technical field [0001] The invention belongs to the technical field of medical information detection, and in particular relates to a non-contact vital sign parameter seamless detection method based on multiple cameras. Background technique [0002] Vital sign parameters, such as heart rate and respiration rate, are physiological indicators for routine clinical diagnosis and are of great significance to the diagnosis, treatment and monitoring of chronic diseases. [0003] Conventional vital sign parameter detection equipment generally needs to be in direct contact with the human body. Due to its high accuracy, it is widely used in clinical medicine, first aid, and community medical care. However, some contact measurement methods need to be wiped with conductive gel or alcohol, and some need to be bound with a chest strap, or use an adsorption electrode to act on the human body, or use a spring clip to clip on the earlobe or fingers. These electrode contact methods may cause ...

AI Technical Summary

Problems solved by technology

Existing studies generally use a single camera to collect individual face video, but when the individual moves in the test environment, the single camera may not be able to detect the face, so that the non-contact vital sign parameter detection based on the camera cannot be realized, resulting in life Discontinuity of sign parameter detection

Images