Beat detection algorithm for ECG and arterial blood pressure waveforms using empirical mode decomposition: a unified approach
by Suraj Kumar Bhati; Omkar Singh; Ramesh K. Sunkaria
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 8, No. 1/2, 2015

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.

Online publication date: Sun, 25-Jan-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com