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Subject: arrhythmia recognition, pulse extraction, feature extraction, support vector machine, mobile application


Year: 2010


Type: Proceedings



Title: Heartbeat tracking application for mobile devices-arrhythmia recognition module


Author: Nakić, Draško
Author: Madzarov, Gjorgji
Author: Gjorgjevikj, Dejan



Abstract: We want to introduce a lightweight system for arrhythmia recognition. The system is intended for outdoor use and is supposed to be implemented in mobile devices, primarily smart phones and smartwatches. We are only concerned about extracting pulses from an ECG stream and passing them to an Arrhythmia Recognition Module - ARM. These two basic tasks should be completed fast and effectively and give an alert when arrhythmia occurs. The ARM we designed relies on simple algorithm for feature extraction and gives an error of 2.007% with false/positives over false/negatives ratio of 19.


Publisher: IEEE


Relation: Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces



Identifier: oai:repository.ukim.mk:20.500.12188/23138
Identifier: http://hdl.handle.net/20.500.12188/23138



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Heartbeat tracking application for mobile devices-arrhythmia recognition module201027