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Automated real-time atrial fibrillation detection on a wearable wireless sensor platform
2012
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
This paper presents an automated real-time atrial fibrillation (AF) detection approach that relies on the observation of two characteristic irregularities of AF episodes in the electrocardiogram (ECG) signal. The results generated after the analysis of these irregularities are subsequently analyzed in real-time using a new fuzzy classifier. We have optimized this novel AF classification framework to require very limited processing, memory storage and energy resources, which makes it able to
doi:10.1109/embc.2012.6346465
pmid:23366426
dblp:conf/embc/RinconGKAS12
fatcat:mmb23icrijaubf33anzajr7nke