Non-contact blood pressure measurement based on pulse transit time

Chen, Pengyong; Zhou, Zuofeng; Zhao, Ting; Cao, Jianzhong; Yang, Hongtao

doi:10.1117/12.2503036

Cited by 1 publication

(1 citation statement)

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“…The CHROM model reduces the effect of motion and light reflected from the skin that does not possess a pulsatile or blood flow component. Fan et al ( 59 ) and Chen et al ( 53 ) (30 s of video, at 60 fps) ( 53 ) adapted CHROM to extract PPG signals from still videos of the face and hand, calculating PTT as the time difference between peaks or the phase difference between waveforms respectively. In both cases, subjects were sitting with facing toward the camera and hand raised.…”

Section: Non-contact Video Camera Measurement Of Blood Pressurementioning

confidence: 99%

Smartphones and Video Cameras: Future Methods for Blood Pressure Measurement

Steinman

Barszczyk

Sun

et al. 2021

Front. Digit. Health

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Regular blood pressure (BP) monitoring enables earlier detection of hypertension and reduces cardiovascular disease. Cuff-based BP measurements require equipment that is inconvenient for some individuals and deters regular home-based monitoring. Since smartphones contain sensors such as video cameras that detect arterial pulsations, they could also be used to assess cardiovascular health. Researchers have developed a variety of image processing and machine learning techniques for predicting BP via smartphone or video camera. This review highlights research behind smartphone and video camera methods for measuring BP. These methods may in future be used at home or in clinics, but must be tested over a larger range of BP and lighting conditions. The review concludes with a discussion of the advantages of the various techniques, their potential clinical applications, and future directions and challenges. Video cameras may potentially measure multiple cardiovascular metrics including and beyond BP, reducing the risk of cardiovascular disease.

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Section: Non-contact Video Camera Measurement Of Blood Pressurementioning

confidence: 99%