An effective ECG signal compression algorithm with self controlled reconstruction quality-Reference-Cited by-同舟云学术

An effective ECG signal compression algorithm with self controlled reconstruction quality

Published:2023-05-03 Issue: Volume: Page:1-11
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Pal Hardev Singh¹^ORCID,Kumar A.¹,Vishwakarma Amit¹,Singh Girish Kumar²,Lee Heung-No³

Affiliation:

1. Department of Electronics and Communication Engineering, PDPM-Indian Institute of Information Technology Design and Manufacturing Jabalpur, Jabalpur, Madhya Pradesh, India

2. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

3. School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Korea

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2206933

Reference36 articles.

1. EEG/ERP Adaptive Noise Canceller Design with Controlled Search Space (CSS) Approach in Cuckoo and Other Optimization Algorithms

2. Coronavirus herd immunity optimizer (CHIO)

3. Monte Carlo Filter-Based Motion Artifact Removal From Electrocardiogram Signal for Real-Time Telecardiology System

4. Preserving Abnormal Beat Morphology in Long-Term ECG Recording: An Efficient Hybrid Compression Approach

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel approach of Gaussian mixture model-based data compression of ECG and PPG signals for various cardiovascular diseases;Biomedical Signal Processing and Control;2024-10

2. An ECG Signal Compression Technique based on DCT and Evolutionary Algorithms;2023 9th International Conference on Signal Processing and Communication (ICSC);2023-12-21

3. A novel approach for denoising the physiological signals using spectral methods;2023 IEEE 7th Conference on Information and Communication Technology (CICT);2023-12-15