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
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;
Conference_Titel :
Intelligent Signal Processing (WISP), 2015 IEEE 9th International Symposium on
Conference_Location :
Siena
DOI :
10.1109/WISP.2015.7139157