Conference proceeding
Comparison of QRS peak detection algorithms in extracting HRV signal
Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136), v 1, pp 302-305
1997
Abstract
Heart Rate Variability (HRV) represents an instantaneous heart rate signal including the beat-to-beat fluctuation in heart rate. In obtaining this signal, nonlinear filtering with thresholding is a common approach by which QRS complex in the ECG signal can be detected. In this paper, two QRS detection algorithms are described and compared. These algorithms involve adaptive thresholding and fixed thresholding methods, respectively. Each algorithm has its advantages and disadvantages in terms of accuracy and speed. Future work can be done to improve the algorithms with a better tradeoff between accuracy and speed. By processing the accurate and real time HRV signals, useful physiological information can be obtained.
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4 citations in Scopus
Details
- Title
- Comparison of QRS peak detection algorithms in extracting HRV signal
- Creators
- Hong Wan - School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104Joseph P Cammarota - School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104Ata Akin - Drexel UniversityHun H Sun - Drexel University
- Publication Details
- Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136), v 1, pp 302-305
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Scopus ID
- 2-s2.0-0031294970
- Other Identifier
- 991019353618904721