Manuel Blanco Velasco

Manuel Blanco Velasco is a Professor at the Department of Signal Theory and Communications, Universidad de Alcalá. His research focuses on biomedical signal processing, particularly in electrocardiogram (ECG) analysis, machine learning applications in healthcare, and communication systems. He holds a PhD from Universidad de Alcalá (2004) with a thesis on ECG compression using modulated filter banks. His work bridges signal processing theory and practical biomedical engineering, addressing challenges in ECG noise classification, T-wave alternans detection, and telemedicine systems.

Research interests include:

• Medical signal processing for arrhythmia detection
• Deep learning models for clinical data interpretation
• OFDM-based communication systems
• ECG compression and denoising algorithms

His recent publications emphasize interpretable deep learning methods for ECG analysis, noise characterization in long-term monitoring, and ensemble approaches for T-wave alternans detection. Contributions span both biomedical and communication engineering domains, reflecting his interdisciplinary expertise.