000222366 001__ 222366
000222366 005__ 20180913063932.0
000222366 037__ $$aCONF
000222366 245__ $$aImaging Photoplethysmography: What are the Best Locations on the Face to Estimate Heart Rate?
000222366 269__ $$a2016
000222366 260__ $$c2016
000222366 336__ $$aConference Papers
000222366 520__ $$aThe potential of imaging photoplethysmography for cardiovascular monitoring applications has been demonstrated recently. Various processing schemes have been proposed to extract heart rate (HR) from a defined region of interest (ROI) on the face. However, the reasons that motivate the choice of the ROI are often unclear. This study aimed at investigating the spatial distribution of the HR-related information on the subject face, based on a partition into 260 small ROIs. A power spectral density (PSD) analysis was performed to determine the amount of HR-related information in each ROI. Normalized color maps were used to visualize the spatial distribution of the HR-information and clearly showed that color fluctuations due to blood volume changes are always more pronounced in the forehead region. After face segmentation, for the R/G/B/NIR channels, average percentages of power of 27%/43%/27%/36% for the forehead region, 17%/28%/18%/21% for the cheek region and 16%/24%/16%/20% for the whole face were obtained.
000222366 6531_ $$aImaging Photoplethysmography
000222366 700__ $$0248097$$aFallet, Sibylle$$g183806
000222366 700__ $$aMoser, Virginie
000222366 700__ $$0247964$$aBraun, Fabian$$g241315
000222366 700__ $$0240458$$aVesin, Jean-Marc$$g106643
000222366 7112_ $$aComputing in Cardiology 2016$$cVancouver, British Colombia$$dSeptember 11-14, 2016
000222366 909C0 $$0252331$$pASPG
000222366 909CO $$ooai:infoscience.tind.io:222366$$pconf$$pSTI
000222366 917Z8 $$x183806
000222366 937__ $$aEPFL-CONF-222366
000222366 973__ $$aEPFL$$rNON-REVIEWED$$sPUBLISHED
000222366 980__ $$aCONF