Conference paper
Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device
DTU Electr. Eng., Lyngby, Denmark1
OUH Svendborg Sygehus, Svendborg, Denmark2
DELTA, Horsholm, Denmark3
We have designed and optimized an automatic QRS complex detection algorithm for electrocardiogram (ECG) signals recorded with the DELTA ePatch platform. The algorithm is able to automatically switch between single-channel and multi-channel analysis mode. This preliminary study includes data from 11 patients measured with the DELTA ePatch platform and the algorithm achieves an average QRS sensitivity and positive predictivity of 99.57% and 99.57%, respectively.
The algorithm was also evaluated on all 48 records from the MIT-BIH Arrhythmia Database (MITDB) with an average sensitivity and positive predictivity of 99.63% and 99.63%, respectively.
Language: | English |
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Publisher: | IEEE |
Year: | 2012 |
Pages: | 2913-2916 |
Proceedings: | 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
ISBN: | 1424441196 , 1457717875 , 9781424441198 and 9781457717871 |
ISSN: | 1557170x , 1094687x and 15584615 |
Types: | Conference paper |
DOI: | 10.1109/EMBC.2012.6346573 |