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

Dorthe Bodholt Saadi, Kenneth Egstrup, Jens Branebjerg, Gunnar Andersen, Helge B.D. Sorensen

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

1205 Downloads (Pure)

Abstract

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
Publication statusPublished - 2012
Event34th Annual International Conference of the IEEE EMBS - San Diego, California, United States
Duration: 28 Aug 20121 Sep 2012

Conference

Conference34th Annual International Conference of the IEEE EMBS
CountryUnited States
CitySan Diego, California
Period28/08/201201/09/2012

Fingerprint Dive into the research topics of 'Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device'. Together they form a unique fingerprint.

Cite this