Real-time ECG peak detection for heart rate measurement using wavelet packet transform Online publication date: Wed, 11-Nov-2015
by R. Jegan; K.V. Anusuya; Elji Mariam George
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 19, No. 3, 2015
Abstract: Continuous monitoring of patient's signals has the potential to improve the quality life of patients. This paper proposes a method to detect peaks in ECG signal for finding heart rate. It is one of the most important physiological parameter, which is being extensively used for knowing the state of the cardiac patients. ECG feature extraction is necessary for detection of cardiovascular abnormalities. The wavelet transform is considered to be the most appropriate tool to analyse the non-stationary signals. In this paper discrete wavelet packet transform algorithm is used to find heart rate from ECG signal. Proposed methodology has decomposition tree to eliminate the wavelet coefficients which contains the repeated information thereby it optimises the execution time and results in higher temporal resolution. Proposed work uses the improved algorithm to increase the accuracy in measuring the heart rate from the ECG signal.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook