Athanasios Tsanas
Orcid: 0000-0002-0994-8100
According to our database1,
Athanasios Tsanas
authored at least 50 papers
between 2009 and 2024.
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Bibliography
2024
Combining Deep Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification.
ACM Trans. Comput. Heal., January, 2024
Next-Day Prediction of Hypoglycaemic Episodes Based on the Use of a Mobile App for Diabetes Self-Management.
IEEE Access, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables.
Sensors, February, 2023
Defining clinical subtypes of adult asthma using electronic health records: Analysis of a large UK primary care database with external validation.
Int. J. Medical Informatics, 2023
2022
IEEE Trans. Affect. Comput., 2022
Data-Driven Subtyping of Parkinson's Using Acoustic Analysis of Sustained Vowels and Cluster Analysis: Findings in the Parkinson's Voice Initiative Study.
SN Comput. Sci., 2022
Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment.
Sensors, 2022
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool.
Patterns, 2022
An EMG-based Eating Behaviour Monitoring system with haptic feedback to promote mindful eating.
Comput. Biol. Medicine, 2022
Comparing Lab-based and Telephone-based Speech Recordings Towards Parkinson's Assessment: Insights from Acoustic Analysis.
Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022
Characterization of Hypokinetic Dysarthria by a CNN Based on Auditory Receptive Fields.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Characterizing Masseter Surface Electromyography on EEG-Related Frequency Bands in Parkinson's Disease Neuromotor Dysarthria.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Estimating Medication Adherence from Electronic Health Records Using Rolling Averages of Single Refill-based Estimates.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Exploring Feature Selection and Feature Transformation Techniques to Improve Telephone-based Biomedical Speech Signal Processing towards Parkinson's Assessment.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Estimating Use of Short-term Asthma Reliever Inhalers from Electronic Prescription Records.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.
npj Digit. Medicine, 2021
Biomed. Signal Process. Control., 2021
Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network.
IEEE Access, 2021
Smartphone Speech Testing for Symptom Assessment in Rapid Eye Movement Sleep Behavior Disorder and Parkinson's Disease.
IEEE Access, 2021
Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson's Disease Hypokinetic Dysarthria.
Proceedings of the Biomedical Engineering Systems and Technologies, 2021
Performance of Monosyllabic vs Multisyllabic Diadochokinetic Exercises in Evaluating Parkinson's Disease Hypokinetic Dysarthria from Fluency Distributions.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Assessing Parkinson's Disease Speech Signal Generalization of Clustering Results across Three Countries: Findings in the Parkinson's Voice Initiative Study.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Capitalizing on Patient Reported Outcome Measures, Wearables, and Smartphones Towards Developing New Clinical Decision Support Tools for Frequent, Remote, Longitudinal Monitoring of Chronic Disorders.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Estimation of Asthma Severity from Electronic Prescription Records using British Thoracic Society and Scottish Intercollegiate Guidelines Network Treatment Steps.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification.
CoRR, 2020
Individual Mandibular Motor Actions estimated from Speech Articulation Features.
Proceedings of the 3rd RaPID Workshop: Resources and Processing of Linguistic, 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Large-scale Clustering of People Diagnosed with Parkinson's Disease using Acoustic Analysis of Sustained Vowels: Findings in the Parkinson's Voice Initiative Study.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Parkinson's Disease Glottal Flow Characterization: Phonation Features vs Amplitude Distributions.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
2019
An EMG-based Eating Behaviour Monitoring System with Haptic Feedback to Promote Mindful Eating.
CoRR, 2019
Developing a large scale population screening tool for the assessment of Parkinson's disease using telephone-quality voice.
CoRR, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
New insights into Parkinson's disease through statistical analysis of standard clinical scales quantifying symptom severity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Investigating Motility and Pattern Formation in Pluripotent Stem Cells Through Agent-Based Modeling.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Exploring Telephone-Quality Speech Signals Towards Parkinson's Disease Assessment in a Large Acoustically Non-controlled Study.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2017
IEEE Trans. Biomed. Eng., 2017
2016
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016
2015
Smart diagnostic algorithms for automated detection of childhood pneumonia in resource-constrained settings.
Proceedings of the 2015 IEEE Global Humanitarian Technology Conference, 2015
2014
Quantitative Insights into the Closed-loop Cardiovascular System using an Electrical Lumped Element Physiological Model.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2012
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease.
IEEE Trans. Biomed. Eng., 2012
2011
Robust parsimonious selection of dysphonia measures for telemonitoring of Parkinson's disease symptom severity.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
Special session: acoustic analysis of Parkinsonian speech: issues, methods, and applications.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
2010
Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests.
IEEE Trans. Biomed. Eng., 2010
Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson's disease progression.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009