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http://hdl.handle.net/20.500.12188/23138| Title: | Heartbeat tracking application for mobile devices-arrhythmia recognition module | Authors: | Nakić, Draško Madzarov, Gjorgji Gjorgjevikj, Dejan |
Keywords: | arrhythmia recognition, pulse extraction, feature extraction, support vector machine, mobile application | Issue Date: | 21-Jun-2010 | Publisher: | IEEE | Conference: | Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces | 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. | URI: | http://hdl.handle.net/20.500.12188/23138 |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| ITI2010-10-14-106.pdf | 560.64 kB | Adobe PDF | View/Open |
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