R Peak Detection Method Using Wavelet Transform and Modified Shannon Energy Envelope
- Authors
- Park, Jeong-Seon; Lee, Sang-Woong; Park, Unsang
- Issue Date
- Jul-2017
- Publisher
- HINDAWI LTD
- Citation
- JOURNAL OF HEALTHCARE ENGINEERING, v.2017
- Journal Title
- JOURNAL OF HEALTHCARE ENGINEERING
- Volume
- 2017
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7531
- DOI
- 10.1155/2017/4901017
- ISSN
- 2040-2295
- Abstract
- Rapid automatic detection of the fiducial points-namely, the P wave, QRS complex, and T wave-is necessary for early detection of cardiovascular diseases (CVDs). In this paper, we present an R peak detection method using the wavelet transform (WT) and a modified Shannon energy envelope (SEE) for rapid ECG analysis. The proposed WTSEE algorithm performs a wavelet transform to reduce the size and noise of ECG signals and creates SEE after first-order differentiation and amplitude normalization. Subsequently, the peak energy envelope (PEE) is extracted from the SEE. Then, R peaks are estimated from the PEE, and the estimated peaks are adjusted from the input ECG. Finally, the algorithm generates the final R features by validating R-R intervals and updating the extracted R peaks. The proposed R peak detection method was validated using 48 first-channel ECG records of the MIT-BIH arrhythmia database with a sensitivity of 99.93%, positive predictability of 99.91%, detection error rate of 0.16%, and accuracy of 99.84%. Considering the high detection accuracy and fast processing speed due to the wavelet transform applied before calculating SEE, the proposed method is highly effective for real-time applications in early detection of CVDs.
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Collections - IT융합대학 > 소프트웨어학과 > 1. Journal Articles
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