Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23138
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dc.contributor.authorNakić, Draškoen_US
dc.contributor.authorMadzarov, Gjorgjien_US
dc.contributor.authorGjorgjevikj, Dejanen_US
dc.date.accessioned2022-09-27T13:16:08Z-
dc.date.available2022-09-27T13:16:08Z-
dc.date.issued2010-06-21-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23138-
dc.description.abstractWe 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.en_US
dc.publisherIEEEen_US
dc.subjectarrhythmia recognition, pulse extraction, feature extraction, support vector machine, mobile applicationen_US
dc.titleHeartbeat tracking application for mobile devices-arrhythmia recognition moduleen_US
dc.typeProceedingsen_US
dc.relation.conferenceProceedings of the ITI 2010, 32nd International Conference on Information Technology Interfacesen_US
item.grantfulltextopen-
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Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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