Automatic Selection of Webcam Photoplethysmographic Pixels Based on Lightness Criteria Photoplethysmographic Pixels Selection Based on Lightness Segmentation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Medical and Biological Engineering Année : 2017

Automatic Selection of Webcam Photoplethysmographic Pixels Based on Lightness Criteria Photoplethysmographic Pixels Selection Based on Lightness Segmentation

Résumé

We propose, in this study, an original method that was developed to remotely measure the instantaneous pulse rate using photoplethysmographic signals that were recorded from a low-cost webcam. The method is based on a prior selection of pixels of interest using a custom segmentation that used the face lightness distribution to define different sub-regions. The most relevant subregions are automatically selected and combined by evaluating their respective signal to noise ratio. Performances of the proposed technique were evaluated using an approved contact sensor on a set of 7 healthy subjects. Different experiments while reading, with motion or while performing common tasks on a computer were conducted in the laboratory. The proposed segmentation technique was compared with other benchmark methods that were already introduced in the scientific literature. The results exhibit high degrees of correlation and low pulse rate absolute errors, demonstrating that the segmentation we propose in this study outperform available region-of-interest selection methods.
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Dates et versions

hal-03147674 , version 1 (20-02-2021)

Identifiants

Citer

Frédéric Bousefsaf, Choubeila Maaoui, Alain Pruski. Automatic Selection of Webcam Photoplethysmographic Pixels Based on Lightness Criteria Photoplethysmographic Pixels Selection Based on Lightness Segmentation. Journal of Medical and Biological Engineering, 2017, 37 (3), pp.374-385. ⟨10.1007/s40846-017-0229-1⟩. ⟨hal-03147674⟩
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