Article: Beat detection algorithm for ECG and arterial blood pressure waveforms using empirical mode decomposition: a unified approach Journal: International Journal of Signal and Imaging Systems Engineering (IJSISE) 2015 Vol.8 No.1/2 pp.68 - 79 Abstract: Beat detection algorithms for electrocardiogram (ECG) and pressure signals are extremely important for clinical applications. The accurate detection of R-peak locations in ECG signal is extremely important for its further processing with regard to cardiac health monitoring and for Heart Rate Variability (HRV) studies. Beat detection algorithms for pressure signals have many clinical applications including pulse oximetry, cardiac arrhythmia detection, and cardiac output monitoring. This paper presents a reliable unified algorithm for R-peak detection in ECG and systolic peak detection in Arterial Blood Pressure (ABP) signal using empirical mode decomposition. The proposed beat detection algorithm was tested on different data records of MIT-BIH arrhythmia database, Fantasia database, self-recorded signals and MIMIC database. The proposed algorithm achieved an overall sensitivity Se = 99.98% and a positive predictivity +P = 99.89% for ECG signals and an overall sensitivity Se = 99.58% and a positive predictivity +P = 99.85% for ABP signals. Inderscience Publishers - linking academia, business and industry through research

Title: Beat detection algorithm for ECG and arterial blood pressure waveforms using empirical mode decomposition: a unified approach

Authors: Suraj Kumar Bhati; Omkar Singh; Ramesh K. Sunkaria

Addresses: Department of Electronics and Communication Engineering, Lovely Professional University, Jalandhar, Delhi G.T. Road, Phagwara 144402, Punjab, India ' Department of Electronics and Communication Engineering, Lovely Professional University, Jalandhar, Delhi G.T. Road, Phagwara 144402, Punjab, India ' Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Jalandhar 144 011, Punjab, India

Abstract: Beat detection algorithms for electrocardiogram (ECG) and pressure signals are extremely important for clinical applications. The accurate detection of R-peak locations in ECG signal is extremely important for its further processing with regard to cardiac health monitoring and for Heart Rate Variability (HRV) studies. Beat detection algorithms for pressure signals have many clinical applications including pulse oximetry, cardiac arrhythmia detection, and cardiac output monitoring. This paper presents a reliable unified algorithm for R-peak detection in ECG and systolic peak detection in Arterial Blood Pressure (ABP) signal using empirical mode decomposition. The proposed beat detection algorithm was tested on different data records of MIT-BIH arrhythmia database, Fantasia database, self-recorded signals and MIMIC database. The proposed algorithm achieved an overall sensitivity S_e = 99.98% and a positive predictivity +P = 99.89% for ECG signals and an overall sensitivity S_e = 99.58% and a positive predictivity +P = 99.85% for ABP signals.

Keywords: ECG signals; electrocardiograms; R-peak locations; HRV; heart rate variability; ABP; arterial blood pressure; EMD; empirical mode decomposition; sensitivity; positive predictivity; heart beat detection; blood pressure waveforms; cardiac health monitoring.

DOI: 10.1504/IJSISE.2015.067070

International Journal of Signal and Imaging Systems Engineering, 2015 Vol.8 No.1/2, pp.68 - 79

Received: 11 Jan 2013
Accepted: 10 Nov 2013
Published online: 25 Jan 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: Beat detection algorithm for ECG and arterial blood pressure waveforms using empirical mode decomposition: a unified approach

Keep up-to-date