Heartbeat tracking application for mobile devices-arrhythmia recognition module
Date Issued
2010-06-21
Author(s)
Nakić, Draško
Madzarov, Gjorgji
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.
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.
Subjects
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