Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device

Publication: Research - peer-reviewBook chapter – Annual report year: 2012

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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.
Original languageEnglish
Title of host publicationIEEE Engineering in medicine and biology society conference proceedings
PublisherIEEE
Publication date2012
Pages2913 - 2916
ISBN (print)9781424441198
DOIs
StatePublished

Conference

Conference34th Annual International Conference of the IEEE EMBS
CountryUnited States
CitySan Diego, California
Period28/08/1201/09/12
CitationsWeb of Science® Times Cited: No match on DOI
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