Antonio R. Hidalgo-Muñoz

Orcid: 0000-0002-0457-5114

According to our database1, Antonio R. Hidalgo-Muñoz authored at least 13 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Subtle interactions for distress regulation: Efficiency of a haptic wearable according to personality.
Int. J. Hum. Comput. Stud., 2022

2017
Spectral and spatiotemporal variability ECG parameters linked to catheter ablation outcome in persistent atrial fibrillation.
Comput. Biol. Medicine, 2017

2015
A tensor decomposition approach to noninvasive atrial activity extraction in atrial fibrillation ECG.
Proceedings of the 23rd European Signal Processing Conference, 2015

Empirical mode decomposition for noninvasive atrial fibrillation dominant frequency estimation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Atrial signal extraction in atrial fibrillation electrocardiograms using a tensor decomposition approach.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Empirical mode decomposition of multiple ECG leads for catheter ablation long-term outcome prediction in persistent atrial fibrillation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

F-wave Amplitude Stability on Multiple Electrocardiogram Leads in Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015

Parameter Estimation of a Mathematical Model Describing the Cardiovascular-Respiratory Interaction.
Proceedings of the Computing in Cardiology, 2015

2014
EEG study on affective valence elicited by novel and familiar pictures using ERD/ERS and SVM-RFE.
Medical Biol. Eng. Comput., 2014

2013
Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing.
Expert Syst. Appl., 2013

Spectral turbulence measuring as feature extraction method from EEG on affective computing.
Biomed. Signal Process. Control., 2013

Approach on affective valence detection from EEG signals based on global field power measure and SVM-RFE algorithm.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals.
Proceedings of the BIOSIGNALS 2013, 2013


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