A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images

Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. The primary focus lies in developing a robust, privacy-preserving system that accurately classifies pain levels (l...

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Auteurs principaux:	Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-02-01
Collection:	Sensors
Sujets:	quantum convolutional hybrid neural network (QCHNN) federated learning edge computing pain assessment quantum transfer learning
Accès en ligne:	https://www.mdpi.com/1424-8220/25/5/1436
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