DocumentCode
716202
Title
R-peak detection algorithm based on differentiation
Author
Arteaga-Falconi, Juan ; Al Osman, Hussein ; El Saddik, Abdulmotaleb
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
fYear
2015
fDate
15-17 May 2015
Firstpage
1
Lastpage
4
Abstract
This paper presents an R peak detection algorithm for ECG signals based on the second derivative. Such R peak detection techniques offer low average time error and are computationally inexpensive. However, previously proposed methods based on the second derivatives suffer from low sensitivity and positive predictivity. In this study, we introduce a new mechanism at the peaks detector stage to resolve the aforementioned issues. We compared our proposed algorithm to an existing one that is also based on second derivative. The obtained results show an improvement in terms of sensitivity and positive predictivity, while maintaining a low average time error.
Keywords
differentiation; electrocardiography; medical signal detection; ECG signals; R-peak detection algorithm; differentiation; positive predictivity; second derivatives; sensitivity; Databases; Detection algorithms; Electrocardiography; Heart rate variability; Prediction algorithms; Sensitivity; Transforms; ECG detection; QRS detection; R-Peak detection algorithm; Second Derivative ECG detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing (WISP), 2015 IEEE 9th International Symposium on
Conference_Location
Siena
Type
conf
DOI
10.1109/WISP.2015.7139157
Filename
7139157
Link To Document