Refereed article in conference proceedings (A4)

A Wearable Sensor Node for Detecting Atrial Fibrillation Using Real-Time Digital Signal Processing

List of Authors: Tuukka Panula, Tero Hurnanen, Jarno Tuominen, Matti Kaisti, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto

Conference name: IEEE International Conference on Electronics, Circuits and Systems

Publication year: 2018

Book title *: 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

ISBN: 978-1-5386-9116-8

eISBN: 978-1-5386-9562-3




Atrial fibrillation (AF) is the most common chronic arrhythmia affecting nearly nine million people in the European Union only. Ischemic stroke is the most feared condition caused by AF with a 4.8 times higher risk of occurrence among AF patients compared to rest of population. The asymptomatic nature of AF causes many people to be left untreated. Previous studies have shown that detecting AF using mechanocardiography, e.g. recording mechanical movement caused by cardiac activity with motion sensors, is possible. We propose a custom Bluetooth enabled wearable device for measuring mechanocardiographic signals. On-board real-time signal processing is applied in order to determine whether the patient is suffering from AF. Preclinical measurement results suggest that the algorithm is able to distinguish between AF and normal sinus rhythm.

Last updated on 2021-24-06 at 09:40