A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
A Wearable Sensor Node for Detecting Atrial Fibrillation Using Real-Time Digital Signal Processing
Tekijät: Tuukka Panula, Tero Hurnanen, Jarno Tuominen, Matti Kaisti, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
Toimittaja: IEEE
Konferenssin vakiintunut nimi: IEEE International Conference on Electronics, Circuits and Systems
Julkaisuvuosi: 2018
Kokoomateoksen nimi: 2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Aloitussivu: 681
Lopetussivu: 684
ISBN: 978-1-5386-9116-8
eISBN: 978-1-5386-9562-3
DOI: https://doi.org/10.1109/ICECS.2018.8617931
Verkko-osoite: https://ieeexplore.ieee.org/document/8617931/
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.