Fast CNN-Based Electrocardiogram Signal Quality Assessment Using Fourier Magnitude Spectrum for Resource-Constrained ECG Diagnosis Devices
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, India
2. Department of Electrical Engineering, Indian Institute of Technology Palakkad, Palakkad, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7782634/10463178/10453615.pdf?arnumber=10453615
Reference16 articles.
1. Low-complexity detection and classification of ECG noises for automated ECG analysis system
2. Deep Spectrogram Feature Based ECG Signal Quality Assessment for False Alarm Reduction
3. Automatic SWT based QRS detection using weighted subbands and Shannon energy peak amplification for ECG signal analysis devices;Varghese,2022
4. Noise‐aware dictionary‐learning‐based sparse representation framework for detection and removal of single and combined noises from ECG signal
5. A Review of Signal Processing Techniques for Electrocardiogram Signal Quality Assessment
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