ArticleJournal of healthcare engineering2017
R Peak Detection Method Using Wavelet Transform and Modified Shannon Energy Envelope.
Article in Journal of healthcare engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- A reproducible benchmark of QRS detection algorithms across diverse ECG datasets and noise conditions.Scientific reports · 2026Article
- Computational and Memory Efficiency in Heartbeat Rate Detection: A Review of ECG and PPG Techniques.Sensors (Basel, Switzerland) · 2026Article
- Article
- A Virtual Reality Exergame: Clinician-Guided Breathing and Relaxation for Children with Muscular Dystrophy.2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · 2023Article
- Robust R-peak detection in an electrocardiogram with stationary wavelet transformation and separable convolution.Scientific reports · 2022Article
- An Early Warning of Atrial Fibrillation Based on Short-Time ECG Signals.Journal of healthcare engineering · 2022Article
- A Machine Learning Approach for the Detection of QRS Complexes in Electrocardiogram (ECG) Using Discrete Wavelet Transform (DWT) Algorithm.Computational intelligence and neuroscience · 2022Article
- Improving R Peak Detection in ECG Signal Using Dynamic Mode Selected Energy and Adaptive Window Sizing Algorithm with Decision Tree Algorithm.Sensors (Basel, Switzerland) · 2021Article
- A greedy graph search algorithm based on changepoint analysis for automatic QRS complex detection.Computers in biology and medicine · 2021Article
- An effective frequency-domain feature of atrial fibrillation based on time-frequency analysis.BMC medical informatics and decision making · 2020Article
- A Graph-constrained Changepoint Detection Approach for ECG Segmentation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Comparison of Trotting Stance Detection Methods from an Inertial Measurement Unit Mounted on the Horse's Limb.Sensors (Basel, Switzerland) · 2020Article
- A Survey of Heart Anomaly Detection Using Ambulatory Electrocardiogram (ECG).Sensors (Basel, Switzerland) · 2020Review
- Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.Journal of medical systems · 2018Article
- An Efficient Teager Energy Operator-Based Automated QRS Complex Detection.Journal of healthcare engineering · 2018Article
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3 authors.
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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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