Advanced ECG signal denoising using deep learning architectures: convolutional neural networks, autoencoders, and generative adversarial networks

Arjun Singh Vijoriya; Yogesh Parmar; Gaurav Varshney; Swapnil Parikh

doi:10.1049/icp.2025.1709

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Advanced ECG signal denoising using deep learning architectures: convolutional neural networks, autoencoders, and generative adversarial networks

Arjun Singh Vijoriya Yogesh Parmar Gaurav Varshney Swapnil Parikh

Year: 2025 Journal: IET conference proceedings. Vol: 2025 (7)Pages: 1760-1764 Publisher: Institution of Engineering and Technology

DOI: 10.1049/icp.2025.1709

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Keywords:

Artificial intelligence Computer science Convolutional neural network Deep learning Adversarial system Generative grammar Pattern recognition (psychology) Noise reduction SIGNAL (programming language) Machine learning

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ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Advanced ECG signal denoising using deep learning architectures: convolutional neural networks, autoencoders, and generative adversarial networks

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