Title :
Automatic detection of atrial fibrillation using MEMS accelerometer
Author :
Tero Koivisto;Mikko P?nk??l?;Tero Hurnanen;Tuija Vasankari;Tuomas Kiviniemi;Antti Saraste;Juhani Airaksinen
Author_Institution :
Technology Research Centrer, University of Turku, Finland
Abstract :
The aim of the study was to assess the applicability of seismocardiogram (SCG) for the detection of atrial fibrillation (AF) in telemonitoring applications. SCG data used in this study consists of simultaneous SCG and ECG recordings of 12 patients during both AF and sinus rhythm (after cardioversion). An SCG-based AF-detection algorithm was developed and its performance tested with the acquired clinical data. The algorithm is able to distinguish AF positive samples from samples with sinus rhythm with high accuracy.
Keywords :
"Electrocardiography","Accelerometers","Rhythm","Micromechanical devices","Reliability","Heart beat","Hospitals"
Conference_Titel :
Computing in Cardiology Conference (CinC), 2015
Print_ISBN :
978-1-5090-0685-4
Electronic_ISBN :
2325-887X
DOI :
10.1109/CIC.2015.7411039
