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2019 | OriginalPaper | Chapter

R-Peaks Detection Using Shannon Energy for HRV Analysis

Authors : Om Navin, Gautam Kumar, Nirmal Kumar, Kuldeep Baderia, Ranjeet Kumar, Anil Kumar

Published in: Advances in Signal Processing and Communication

Publisher: Springer Singapore

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Abstract

In this paper, a system for R-peak detection in ECG signal is presented that applicable in different heart rate variability (HRV) applications based on S-transform and Shannon energy. The presented technique and system are efficient in R-peak detection as per results illustrated up to 99.80% of sensitivity and positive predictivity. Here, Shannon energy envelope computes sharp peaks that help in the allocation of peak position in ECG signal. The presented technique is evaluated on 27 records of MIT-BIH arrhythmia database of ECG signals. A tool named as SpandanV.1 (Cardiac Rhythm Variability, version 1) also demonstrated for R-peak detection with HRV analysis.

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Metadata
Title
R-Peaks Detection Using Shannon Energy for HRV Analysis
Authors
Om Navin
Gautam Kumar
Nirmal Kumar
Kuldeep Baderia
Ranjeet Kumar
Anil Kumar
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-2553-3_39