6533b86efe1ef96bd12cba3a
RESEARCH PRODUCT
Toward the development of a remote photoplethysmographic sensor
Serge Bobbiasubject
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingImage processing[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Superpixels segmentation[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingTraitement d’imagesPhotopléthysmographie sans contactRemote photoplethysmographySegmentation en superpixels[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Biomedical engineeringIngénierie biomédicale[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdescription
Heart-rate estimation performed with remote photoplethysmography is a very active research field. Since pioneer works in 2010, which demonstrated the feasibility of the measure with low-grade consumers’ camera (webcam), the number of scientific publications have increased significantly in the domain. Hence, we observe a multiplication of the methods in order to retrieve the photoplethysmographic signal which hasled to an increased precision and quality of the heartrate estimation. Region of interest segmentation is a key step of the processing pipeline in order to maximize the quality of the measured signal. We propose a new method to perform remote photoplethysmographic measurement using an implicit living skin identification method. Hence, we have shown that our approach lead to an improvement in both quality of the signalmeasured and precision of the heart-rate estimation by favoring more contributive area. As we are working with hardware integration constraint, we propose a new superpixels segmentation method which requires significantly less computation power than state of the art methods by reducing the algorithmic complexity of this step. Moreover, we have demonstrated the integration and real time capabilities by implementing our solution to anembedded device. All of our proposed method have been evaluated through dierent experimentations. Our new segmentation method, called IBIS, have been compared to state of the art methods to quantify the quality of the produced segmentation. To quantify the impact of ourapproach on the quality of the photoplethysmographic measure, we have implemented and compared state of the art methods with our proposed method. For both the superpixels segmentation and remote heart-rate estimation, our methods have shown great results and advantages compared to state of the art ones. Our works have been reviewed by the scientific community through several conference presentations and journal publications.
year | journal | country | edition | language |
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2019-01-01 |