1.
Annu Int Conf IEEE Eng Med Biol Soc
; 2009: 1371-4, 2009.
Article
in English
| MEDLINE
| ID: mdl-19964757
ABSTRACT
This paper addresses the issue of heart rate detection from noisy ECG data, and presents a method with low complexity and low memory requirements that can detect QRS complex in the presence of noise and muscle artifacts. On the MIT-BIH arrhythmia database we were able to detect 99.3% of QRS complexes with 0.47% false detection. This method can also be applied to heart rate detection using phonocardio signals.