ArticleHealthcare technology letters2020
Baseline wander and power-line interference elimination of ECG signals using efficient signal-piloted filtering.
Article in Healthcare technology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Advances in the Interpretation of the Electrocardiogram by Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2026Review
- Reducing False Alarm Rates and Workload in ICUs by Improving Arrhythmia Detection Algorithms of Patient Monitoring Systems.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review.Bioengineering (Basel, Switzerland) · 2024Review
- Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet.Frontiers in physiology · 2024Article
- A Teenager Physical Fitness Evaluation Model Based on 1D-CNN with LSTM and Wearable Running PPG Recordings.Biosensors · 2022Article
- Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery Capacity.SN computer science · 2022Article
- Multirate Processing with Selective Subbands and Machine Learning for Efficient Arrhythmia Classification.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
1 author.
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Abstract
A signal-piloted linear phase filtering tactic for removing baseline wander and power-line interference from the electrocardiogram (ECG) signals is suggested. The system is capable of adjusting its parameters by following the incoming signal variations. It renders the processing of lesser samples by inferior order filters. The applicability is demonstrated by using the MIT-BIH ECG database. The precision of the approach is also studied regarding the signal-to-noise ratio (SNR). Results showed that the proposed method achieves a 2.18-fold compression gain and notable computational efficiency over conventional counterpart while securing an analogous output SNR. A comparison of the designed solution is made with the contemporary empirical mode decomposition with Kalman filtering and eigenvalue decomposition based tactics. Results show that the suggested method performs better in terms of output SNR for the studied cases.
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Registered trials
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