Andrés Orozco-Duque
Orcid: 0000-0001-8582-8015
According to our database1,
Andrés Orozco-Duque
authored at least 23 papers
between 2013 and 2025.
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Bibliography
2025
Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches.
Biomed. Signal Process. Control., 2025
2023
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals.
Biomed. Signal Process. Control., April, 2023
Swallowing disorders analysis using surface EMG biomarkers and classification models.
Digit. Signal Process., March, 2023
2022
Directed Functional Coordination Analysis of Swallowing Muscles in Healthy and Dysphagic Subjects by Surface Electromyography.
Sensors, 2022
Nonlinear interdependence of electrograms as a tool to characterize propagation patterns in atrial fibrillation.
Biomed. Signal Process. Control., 2022
Automatic detection of poor quality signals as a pre-processing scheme in the analysis of sEMG in swallowing.
Biomed. Signal Process. Control., 2022
2021
Characterization and classification of intracardiac atrial fibrillation signals using the time-singularity multifractal spectrum distribution.
Commun. Nonlinear Sci. Numer. Simul., 2021
Local synchronization indices for rotors detection in atrial fibrillation: A simulation study.
Commun. Nonlinear Sci. Numer. Simul., 2021
Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia.
Comput. Methods Programs Biomed., 2021
2020
Evaluation of Swallowing Related Muscle Activity by Means of Concentric Ring Electrodes.
Sensors, 2020
Scalogram-energy based segmentation of surface electromyography signals from swallowing related muscles.
Comput. Methods Programs Biomed., 2020
Proceedings of the Applied Computer Sciences in Engineering, 2020
2019
Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study.
Entropy, 2019
2018
Continuous Wavelet Transform for Muscle Activity Detection in Surface EMG Signals During Swallowing.
Proceedings of the Applied Computer Sciences in Engineering, 2018
2017
Feature subset selection and classification of intracardiac electrograms during atrial fibrillation.
Biomed. Signal Process. Control., 2017
Proceedings of the Computing in Cardiology, 2017
2016
Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Simple Ablation Guided by ApEn Mapping in a 2D Model during Permanent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Approximate Entropy Can Localize Rotors, but not Ectopic Foci during Chronic Atrial Fibrillation - a Simulation Study.
Proceedings of the Computing in Cardiology, 2013
Dominant Frequency, Regularity and Organization Indexes Response to Preprocessing Filter Variations on Simulated Electrograms During Atrial Fibrillation.
Proceedings of the BIOSIGNALS 2013, 2013
Support Vector Machine and Artificial Neural Network Implementation in Embedded Systems for Real Time Arrhythmias Detection.
Proceedings of the BIOSIGNALS 2013, 2013