Smartphone Based Application for Online Premature Ventricular Contraction Detection

Andrius Solosenko

Abstract


The purpose of this work was to develop and investigate the online premature ventricular contraction (PVC) detection method based on the photoplethysmography (PPG). The method was implemented as the application for the Android OS smartphone.  PPG signals are received from the external source via Bluetooth connection. The patient was simulated by transmitting real PPG signals from the PhysioNet portal via personal computer. For the PVC detection, this method relies on the temporal PPG features comprised of the peak to peak intervals. PPG pulses are classified with the artificial neural network. The detection effectiveness of this method was evaluated by sensitivity and specificity.


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BIOMEDICAL ENGINEERING CONFERENCE ORGANIZING COMMITEE,

BIOMEDICAL ENGINEERING INSTITUTE,

KAUNAS UNIVERSITY OF TECHNOLOGY.