Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device
Publication: Research - peer-review › Book chapter – Annual report year: 2012
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.
|Title of host publication||IEEE Engineering in medicine and biology society conference proceedings|
|Pages||2913 - 2916|
|Conference||34th Annual International Conference of the IEEE EMBS|
|City||San Diego, California|
|Period||28/08/12 → 01/09/12|
|Citations||Web of Science® Times Cited: No match on DOI|
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