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Journal Articles
- 2024
[j17]Spyridon Kontaxis, Foivos Kanellos, Adamantios Ntanis, Nicholas Kostikis, Spyridon Konitsiotis, George Rigas:
An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep. Sensors 24(13): 4139 (2024)- 2023
- [j16]Foivos Kanellos
, Konstantinos I. Tsamis, Georgios Rigas, Yannis V. Simos, Andreas P. Katsenos, Gerasimos Kartsakalis, Dimitrios I. Fotiadis, Patra Vezyraki, Dimitrios Peschos, Spyridon Konitsiotis:
Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough? Sensors 23(8): 3807 (2023) - 2021
- [j15]Andrea Marcante, Roberto Di Marco, Giovanni Gentile, Clelia Pellicano, Francesca Assogna, Francesco Ernesto Pontieri, Gianfranco Spalletta, Lucia Macchiusi, Dimitris Gatsios, Alexandros Giannakis, Maria Chondrogiorgi, Spyridon Konitsiotis, Dimitrios I. Fotiadis, Angelo Antonini:
Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson's Disease. Sensors 21(1): 128 (2021) - [j14]Nikolaos Kostikis, George Rigas, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson's Disease. Sensors 21(23): 7801 (2021) - 2020
- [j13]Kostas M. Tsiouris, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease. Artif. Intell. Medicine 103: 101807 (2020) - [j12]Biljana Mileva-Boshkoska, Dragana Miljkovic, Anita Valmarska, Dimitrios A. Gatsios, George Rigas, Spyridon Konitsiotis, Kostas M. Tsiouris, Dimitrios I. Fotiadis, Marko Bohanec:
Decision Support for Medication Change of Parkinson's Disease Patients. Comput. Methods Programs Biomed. 196: 105552 (2020) - [j11]Lada Timotijevic, C. E. Hodgkins, Adrian Banks, Patrice Rusconi, Bernadette Egan, M. Peacock, Ellen Seiss, M. M. L. Touray, Heather Gage, Clelia Pellicano, Gianfranco Spalletta, Francesca Assogna, Manuela Giglio, Andrea Marcante, Giovanni Gentile, Imre Cikajlo, Dimitrios A. Gatsios, Spiros Konitsiotis, Dimitrios I. Fotiadis:
Designing a mHealth clinical decision support system for Parkinson's disease: a theoretically grounded user needs approach. BMC Medical Informatics Decis. Mak. 20(1): 34 (2020) - 2018
- [j10]Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja:
Symptoms and medications change patterns for Parkinson's disease patients stratification. Artif. Intell. Medicine 91: 82-95 (2018) - [j9]Kostas M. Tsiouris, Sofia Markoula, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
A robust unsupervised epileptic seizure detection methodology to accelerate large EEG database evaluation. Biomed. Signal Process. Control. 40: 275-285 (2018) - [j8]Kostas M. Tsiouris, Vasileios C. Pezoulas, Michalis E. Zervakis, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals. Comput. Biol. Medicine 99: 24-37 (2018) - [j7]Marko Bohanec, Dragana Miljkovic, Anita Valmarska, Biljana Mileva-Boshkoska, Elisabetta Gasparoli, Giovanni Gentile, Konstantinos Koutsikos, Andrea Marcante, Angelo Antonini, Dimitrios A. Gatsios, George Rigas, Dimitrios I. Fotiadis, Kostas M. Tsiouris, Spiros Konitsiotis:
A decision support system for Parkinson disease management: expert models for suggesting medication change. J. Decis. Syst. 27(Supp): 164-172 (2018) - 2014
- [j6]Alexandros T. Tzallas, Markos G. Tsipouras, Georgios Rigas, Dimitrios G. Tsalikakis, Evaggelos Karvounis, Maria Chondrogiorgi, Fotis Psomadellis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis:
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease. Sensors 14(11): 21329-21357 (2014) - 2013
- [j5]Evanthia E. Tripoliti, Alexandros T. Tzallas, Markos G. Tsipouras, George Rigas, Panagiota Bougia, Michael Leontiou, Spiros Konitsiotis, Maria Chondrogiorgi, Sofia Tsouli, Dimitrios I. Fotiadis:
Automatic detection of freezing of gait events in patients with Parkinson's disease. Comput. Methods Programs Biomed. 110(1): 12-26 (2013) - 2012
- [j4]Markos G. Tsipouras, Alexandros T. Tzallas, George Rigas, Sofia Tsouli, Dimitrios I. Fotiadis, Spiros Konitsiotis:
An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals. Artif. Intell. Medicine 55(2): 127-135 (2012) - [j3]Themis P. Exarchos, Alexandros T. Tzallas, Dina Baga, Dimitra Chaloglou, Dimitrios I. Fotiadis, Sofia Tsouli, Maria Diakou, Spiros Konitsiotis:
Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease. Comput. Biol. Medicine 42(2): 195-204 (2012) - [j2]George Rigas, Alexandros T. Tzallas, Markos G. Tsipouras, Panagiota Bougia, Evanthia E. Tripoliti, Dina Baga, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. 16(3): 478-487 (2012) - 2006
- [j1]Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos:
EEG Transient Event Detection and Classification Using Association Rules. IEEE Trans. Inf. Technol. Biomed. 10(3): 451-457 (2006)
Conference and Workshop Papers
- 2023
- [c28]Dimitrios A. Gatsios, George Rigas, Georgios Bourazanis, Spyridon Konitsiotis:
Feasibility of an mHealth Closed-Loop System for the Optimization of Parkinson's Disease Treatment. SEEDA-CECNSM 2023: 1-4 - 2022
- [c27]Daphni Plati, Evanthia E. Tripoliti, Styliani Zelilidou, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques. EMBC 2022: 1109-1112 - [c26]Theofilos G. Papadopoulos, Evanthia E. Tripoliti, Daphne Plati, Styliani Zelilidou, Kostas Vlachos, Spiros Konitsiotis, Dimitrios I. Fotiadis:
White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning. EMBC 2022: 3818-3821 - [c25]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progression. EMBC 2022: 4745-4748 - 2021
- [c24]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression. BIBE 2021: 1-4 - [c23]Irini Nixina, Dimitrios A. Gatsios, Piret Paal, Spiridon Konitsiotis, Dimitrios I. Fotiadis:
Exploring the knowledge and views of Greek Neurologists regarding Palliative Care Topics. EMBC 2021: 7617-7620 - [c22]Dimitrios A. Gatsios, Georgios Rigas, Spyridon Konitsiotis:
Design of a clinical decision support system powered by mhealth for the management of Parkinson's disease. SEEDA-CECNSM 2021: 1-4 - 2020
- [c21]Kostas M. Tsiouris, Spyridon Konitsiotis, Dimitrios A. Gatsios, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Automatic Absence Seizures Detection in EEG signals: An Unsupervised Module. EMBC 2020: 532-535 - [c20]Nikolaos Kostikis, George A. Rigas, Nikolaos S. Tachos, Spiros Konitsiotis, Dimitrios I. Fotiadis:
On-Body Sensor Position Identification with a Simple, Robust and Accurate Method, Validated in Patients with Parkinson's Disease. EMBC 2020: 4156-4159 - 2019
- [c19]Kostas M. Tsiouris, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Unsupervised Seizure Detection based on Rhythmical Activity and Spike Detection in EEG Signals. BHI 2019: 1-4 - [c18]Evanthia E. Tripoliti, Styliani Zelilidou, Kostas Vlahos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI. BIBE 2019: 284-287 - 2018
- [c17]Kostas M. Tsiouris, Spiros Konitsiotis, Sofia Markoula, Georgios Rigas, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Unsupervised detection of epileptic seizures from EEG signals: A channel-specific analysis of long-term recordings. BHI 2018: 92-95 - [c16]Kostas M. Tsiouris, Dimitrios A. Gatsios, Georgios Rigas, Spiros Konitsiotis, Angelo Antonini, Dimitrios I. Fotiadis:
A decision support system based on rapid progression rules to enhance baseline evaluation of Parkinson's disease patients. BHI 2018: 329-332 - [c15]Kostas M. Tsiouris, Spiros Konitsiotis, Sofia Markoula, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
An Unsupervised Methodology for the Detection of Epileptic Seizures Using EEG Signals: A Multi-Dataset Evaluation. EMBC 2018: 3390-3393 - 2017
- [c14]Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrac, Marko Robnik-Sikonja:
Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification. AIME 2017: 116-125 - [c13]Kostas M. Tsiouris, Georgios Rigas, Angelo Antonini, Dimitris Gatsios, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support system. BHI 2017: 445-448 - [c12]Katerina D. Tzimourta, Loukas G. Astrakas, Markos G. Tsipouras, Nikolaos Giannakeas, Alexandros T. Tzallas, Spyridon Konitsiotis:
Wavelet Based Classification of Epileptic Seizures in EEG Signals. CBMS 2017: 35-39 - [c11]Alexandros T. Tzallas, Nikolaos Giannakeas, Kostantinos N. Zoulis, Markos G. Tsipouras, Euripidis Glavas, Katerina D. Tzimourta, Loukas G. Astrakas, Spyridon Konitsiotis:
EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software. CBMS 2017: 349-353 - [c10]Kostas M. Tsiouris, Georgios Rigas, Dimitrios A. Gatsios, Angelo Antonini, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Predicting rapid progression of Parkinson's Disease at baseline patients evaluation. EMBC 2017: 3898-3901 - 2016
- [c9]Jorge Cancela, Samanta Villanueva Mascato, Dimitrios A. Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spiros Konitsiotis, Angelo Antonini, María Teresa Arredondo, Dimitrios I. Fotiadis:
Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform. EMBC 2016: 663-666 - [c8]George Rigas, Dimitris Gatsios, Dimitrios I. Fotiadis, Maria Chondrogiorgi, Christos Tsironis, Spyridon Konitsiotis, Giovanni Gentile, Andrea Marcante, Angelo Antonini:
Tremor UPDRS estimation in home environment. EMBC 2016: 3642-3645 - [c7]Vasilios C. Protopappas, Konstantinos Tsiouris, Maria Chondrogiorgi, Christos Tsironis, Spiros Konitsiotis, Dimitrios I. Fotiadis:
ALZCARE: An information system for screening, management and tracking of demented patients. EMBC 2016: 5364-5367 - 2015
- [c6]Kostas M. Tsiouris, Spiros Konitsiotis, Sofia Markoula, Dimitrios D. Koutsouris, Antonis I. Sakellarios, Dimitrios I. Fotiadis:
An unsupervised methodology for the detection of epileptic seizures in long-term EEG signals. BIBE 2015: 1-4 - 2014
- [c5]Markos G. Tsipouras, Alexandros T. Tzallas, Evaggelos Karvounis, Dimitrios G. Tsalikakis, Jorge Cancela, Matteo Pastorino, María Teresa Arredondo Waldmeyer, Spiros Konitsiotis, Dimitrios I. Fotiadis:
A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease. BHI 2014: 173-176 - 2011
- [c4]Markos G. Tsipouras, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spyridon Konitsiotis:
On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease. EMBC 2011: 2679-2682 - 2010
- [c3]Markos G. Tsipouras, Alexandros T. Tzallas, Evanthia E. Tripoliti, Georgios Rigas, Panagiota Bougia, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
On Assessing Motor Disorders in Parkinson's Disease. MobiHealth 2010: 35-38 - 2009
- [c2]Dina Baga, Dimitrios I. Fotiadis, Spiros Konitsiotis, Metin Akay:
PERFORM: A system for the monitoring and management of persons with chronic motor neurodegenerative disorders: A study on Parkinson's Disease and Amyotrophic Lateral Sclerosis. PervasiveHealth 2009: 1-5 - 2005
- [c1]Themis P. Exarchos, Alexandros T. Tzallas, Dimitrios I. Fotiadis, Spiros Konitsiotis, Sotirios Giannopoulos:
A Data Mining Based Approach for the EEG Transient Event Detection and Classification. CBMS 2005: 35-40
Coauthor Index
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