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SVM Based Classification & Remote Detection Of Photoplethysmorgraphic Signal

Author(s):

Shrutkirti Kalkhaire , Jspm's BSIOTR, Wagholi; Prof. V. G. Puranik, Jspm's BSIOTR, Wagholi

Keywords:

Photoplethysmography (PPG), Blood Volume Pulse (BVP), Heart Rate Variability (HRV)

Abstract

Cardiology is one of the medicine branch which deals with the heart diseases. Here we present the new system for monitoring the heart by using ambient light and digital camera. Photoplethysmography is the new technique which deals with the heart and we can measure heart rate, heart rate variability, and respiration rate and oxygen saturation. But due to rapid advancement in the imaging devices there is trend to convert traditional PPG into remote PPG. Remote photoplethysmography is most recent method for measuring the heart rate according to skin color variations. Firstly we have to consider ROI for experiment and hence Viola Jones algorithm is used for the face detection. The peak-to-peak time between systolic and diastolic point is related to the heart rate. After extraction of BVP pulse, we are extending our work toward classification of these pulses in to six different types as Normal Sinus Rhythm (NSR), Premature Ventricular Contraction (PVC), Atrial Premature Contraction (APC), Ventricular Tachycardia (VT), Ventricular Fibrillation (VF) and Supraventricular Tachycardia (SVT). For classication we will use Support Vector Machine Classier (SVM).

Other Details

Paper ID: IJSRDV4I50362
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 461-463

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