Manuel Blanco-Velasco

Professor

Universidad de Alcalá

Spain

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About

Professor Manuel Blanco-Velasco is a faculty member at the University of Alcalá in Spain. His research primarily focuses on advanced topics in ECG monitoring, including active learning, deep learning applications, and machine learning methodologies for T-wave alternans detection. Recent publications highlight his contributions to understanding noise in long-term ECG monitoring and the performance analysis of various OFDM-based systems.

Articles (12)

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2026

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2021

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2021

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2020

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2020

Collaborators (2)

Fernando Cruz-Roldán

Professor

Universidad de Alcalá

SPAIN

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Rebeca Goya-Esteban

Universidad Rey Juan Carlos

SPAIN

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Manuel Blanco-Velasco

Research Interests

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Articles (12)

Active learning in latent spaces for long-term ECG monitoring: Morphology and rhythm analysis

Detection of intra-beat waves on ambulatory ECG using manifolds: An explainable deep learning approach

A Deep and Interpretable Learning Approach for Long-Term ECG Clinical Noise Classification

DeepTWA-TM: Deep Learning T-Wave Alternans Detection in Ambulatory ECG via Time Analysis

Machine learning based detection of T–wave alternans in real ambulatory conditions

Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria

Machine Learning approach for TWA detection relying on ensemble data design

On Power Line Positioning Systems

Analysis performance of wavelet OFDM in mobility platforms

Formulation and Performance Analysis of Broadband and Narrowband OFDM-Based PLC Systems

Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (I): Preprocessing and Bipolar Potentials

Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-Wave Alternans

Collaborators (2)

Fernando Cruz-Roldán

Rebeca Goya-Esteban

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