Key result
Video imaging analysis correlates highly with conventional methods for cardiac and respiratory measurements.
Why the study?
Remote measurement of physiological signs and lifestyle indicators requires effective non-contact methods to extract cardiopulmonary signals from various body regions.
Does video imaging analysis accurately measure cardiopulmonary signals from different body regions compared to conventional reference methods?
Does video imaging analysis accurately measure cardiopulmonary signals from different body regions compared to conventional reference methods?
Effect estimate: PCC 0.98 (cardiac) and 0.93 (respiratory)
Video imaging analysis using colour- and motion-based methods provides accurate, non-contact measurement of cardiac and respiratory rates from various body regions.
Remote cardiopulmonary signal extraction from multiple body sites is feasible; leaves open clinical validation before practice adoption.
Activity of the cardiovascular and respiratory systems causes some imperceptible physiological and physical effects in different regions of the human body, which can be highly informative in clinical and biomedical settings, where physiological signs and lifestyle indicators are required to be measured remotely. The possibility of extracting cardiopulmonary signals from many different ROIs (face, forehead, head, palm, wrist, arm, neck, leg and chest), based on cost effective systems without any biological effects on humans, has been investigated in this paper using different image and signal processing techniques. The experimental results of all proposed systems (the colour-based method and the motion-based method) approved their effectiveness, high correlation coefficients (PCC = 0.98 for cardiac measurements and 0.93 for respiratory measurements) and low error rates (RMSE = 1.97 beats/min for cardiac measurements and 1.98 breaths/min for respiratory measurements) in comparison with those obtained from conventional reference methods. Therefore, the proposed systems in this paper may be of value for upcoming non-contact monitoring systems in the diagnostic and health care applications.
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Al‐Naji et al. (2018) studied this question. Video imaging analysis (colour-based and motion-based methods) vs. Conventional reference methods was evaluated on Cardiac and respiratory measurements (PCC 0.98 (cardiac) and 0.93 (respiratory)). Video imaging analysis demonstrated high correlation with conventional reference methods for cardiac (PCC=0.98) and respiratory (PCC=0.93) measurements.