Analisis Photoplethysmography Jarak Jauh dalam berbagai Kondisi Pencahayaan

Abstract

One of the limitations of photoplethysmography (PPG) using a contact sensor to estimate the heart rate is that the sensor must be attached directly to the patient's body. rPPG (remote-Photoplethysmography) can remotely monitor a patient's heart ratebased on an image. However, rPPG  has  limitations  in  instances  where  this  technology  is  directly  affected  by  the  lighting conditions  and  direction  of  the  observed  subject. This  study  used  rPPG  based  on  the  Green Channel and HSV (Hue, Saturation, and Value) color model to estimate heart rate under different lighting  conditions. Analysis,  computational  methods,and  image  transformation  functions  are used for data selection, denoising, colormodel conversion, spectral analysis, and visualization to  extract  biomedical  signals from  inputs. The  estimatedheart  rate was then derivedusing spectral  analysis  on videostaken  from  an  area  of  interest  on  the  forehead. Compared  to  the ground truth, theaverage percentage error from the facial lighting tests conducted at 260 lux, 19 lux, and 11 lux for the Green Channel color modelis 0.038, 0.118, and 0.229, which is less than the HSV's error of 0.095, 0.212, and 0.247.