Key result
A low-cost, vision-based embedded heart rate device using an ARM processor and a new method for determining the heartbeat crest was designed and implemented.
The study presents the design and implementation of a low-cost, vision-based, non-contact embedded heart rate detector using an ARM processor.
At present, the study of non-contact heart rate measurement based on vision is mostly a theoretical method. A few of the relevant algorithms are only described by the MATLAB script language. The specific research and design are still basically blank. Contact-type heart rate measurement devices, while accurate, are expensive, inconvenient to carry, and have a limited range of applications. Existing non-contact heart rate devices require a dedicated light source for measurement. Therefore, aiming at the above issues, this paper studies the design and implementation of a non-contact embedded device based on vision, proposes a design scheme, and perfects the currently known non-contact heart rate detection theory based on actual test results. Combining the high performance, low cost, and low power consumption of the ARM processor, a new method for determining the heartbeat crest is proposed, and a low-cost vision-based embedded heart rate device is designed and implemented for the first time.
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Lu et al. (2018) studied Heart rate measurement. Vision-based non-contact embedded heart rate device was evaluated on Heart rate detection. A low-cost, vision-based embedded heart rate device using an ARM processor and a new method for determining the heartbeat crest was designed and implemented.
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