Automatic QRS complex detection algorithm designed for a novel wearable, wireless electrocardiogram recording device.
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.
Ørsteds Plads, Bldg. 349, DK-2800 Kgs. Lyngby. dbni@elektro.dtu.dk
Dorthe B
DB
Nielsena
Kenneth
K
Egstrup
Jens
J
Branebjerg
Gunnar B
GB
Andersen
Helge B D
HB
Sorensen
D000465:Algorithms; D004562:Electrocardiography / Q000295:instrumentation*; D006801:Humans; D059015:Wireless Technology / Q000295:instrumentation*