mhealth platform for Parkinson’s disease management

Risultati finali

Non Motor Symptoms monitoring

Non Motor Symptoms monitoring (Report + Software)

Gamification of Physiotherapy

Gamification of Physiotherapy (Report + Software)

Educational Gallery

Educational Gallery (Report + Software)

Knowledge MGT platform

Knowledge MGT platform (Report and software)

PD_manager application

PD_manager application (Report and Software)

PD Nutrition study

PD Nutrition study (Report + Software)

State of the art

Α state of the art analysis for the different tasks, as well as a detailed plan of activities for each task

Intermediate report on dissemination activities
Dissemination plan

The communication activities will be detailed, the Data Management Plan will be drafted and the list of events and publications will be updated

Final report on dissemination activities

Data Management Plan

Final version of Data Management Plan

Pubblicazioni

Telerehabilitation of upper extremities with target based games for persons with Parkinson's disease

Autori: Imre Cikajlo, Alma Hukic, Irena Dolinsek, Dejana Zajc, Mateja Vesel, Tatjana Krizmanic, Karmen Peterlin Potisk, Bojan Blazica, Anton Biasizzo, Franc Novak
Pubblicato in: 2017 International Conference on Virtual Rehabilitation (ICVR), 2017, Pagina/e 1-2, ISBN 978-1-5090-3053-8
Editore: IEEE
DOI: 10.1109/ICVR.2017.8007466

Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support system

Autori: Kostas M. Tsiouris, Georgios Rigas, Angelo Antonini, Dimitrios Gatsios, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
Pubblicato in: 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), 2017, Pagina/e 445-448, ISBN 978-1-5090-4179-4
Editore: IEEE
DOI: 10.1109/BHI.2017.7897301

Predicting rapid progression of Parkinson's Disease at baseline patients evaluation

Autori: Kostas M. Tsiouris, Georgios Rigas, Dimitrios Gatsios, Angelo Antonini, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
Pubblicato in: 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, Pagina/e 3898-3901, ISBN 978-1-5090-2809-2
Editore: IEEE
DOI: 10.1109/EMBC.2017.8037708

Precise hand movement telerehabilitation with virtual cubes for patients with Parkinson's disease

Autori: Imre Cikajlo, Dejana Zajc, Irena Dolinšek, Tatjana Krizmanič, Alma Hukić, Mateja Vesel, Karmen Peterlin Potisk
Pubblicato in: Proceedings of the 4th Workshop on ICTs for improving Patients Rehabilitation Research Techniques - REHAB '16, 2016, Pagina/e 17-20, ISBN 9781-450347655
Editore: ACM Press
DOI: 10.1145/3051488.3051493

Multi-view Approach to Parkinson’s Disease Quality of Life Data Analysis

Autori: Anita Valmarska, Dragana Miljkovic, Marko Robnik-Šikonja, Nada Lavrač
Pubblicato in: New Frontiers in Mining Complex Patterns, 2017, Pagina/e 163-178
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-61461-8_11

A State-Transition Decision Support Model for Medication Change of Parkinson's Disease Patients

Autori: Biljana Mileva Boshkoska, Dragana Miljković, Anita Valmarska, Dimitris Gatsios, George Rigas, Spiros Konitsiotis, Kostas M. Tsiouris, Dimitrios Fotiadis, Marko Bohanec
Pubblicato in: Proceedings of the 20th International Multiconference INFORMATION SOCIETY – IS 2017 Volume A, 2017, Pagina/e 63-66, ISBN 978-961-264-112-2
Editore: Institut »Jožef Stefan«, Ljubljana

Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform

Autori: Jorge Cancela, Samanta Villanueva Mascato, Dimitrios Gatsios, George Rigas, Andrea Marcante, Giovanni Gentile, Roberta Biundo, Manuela Giglio, Maria Chondrogiorgi, Robert Vilzmann, Spyros Konitsiotis, Angelo Antonini, Maria T. Arredondo, Dimitrios I. Fotiadis
Pubblicato in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Pagina/e 663-666, ISBN 978-1-4577-0220-4
Editore: IEEE
DOI: 10.1109/EMBC.2016.7590789

Combining Multitask Learning and Short Time Series Analysis in Parkinson’s Disease Patients Stratification

Autori: Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrač, Marko Robnik-Šikonja
Pubblicato in: Artificial Intelligence in Medicine, 2017, Pagina/e 116-125
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59758-4_13

Design and Development of a Mobile Application to Explore Cognitive Skills in Parkinson’s Disease Patientsv

Autori: Jorge Cancela, Samanta Villanueva Mascato, Giovanni Gentile, Manuela Giglio, Roberta Biundo, Maria Teresa Arredondo Waldmeyer, Angelo Antonini
Pubblicato in: XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 2016, Pagina/e 1150-1155
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-32703-7_224

Designing visual interface for nutrition tracking of patients with Parkinson’s disease

Autori: Peter Novak, Barbara Koroušić Seljak, Franc Novak
Pubblicato in: Proceedings of the 19th International Multiconference INFORMATION SOCIETY - IS 2016 Volume E, 2016, ISBN 978-961-264-101-6
Editore: Institut »Jožef Stefan«, Ljubljana

3D serious games for Parkinson’s disease management

Autori: Bojan Blažica, Franc Novak, Anton Biasizzo, Ciril Bohak
Pubblicato in: Proceedings of the 19th International Multiconference INFORMATION SOCIETY - IS 2016 Volume E, 2016, ISBN 978-961-264-101-6
Editore: Institut »Jožef Stefan«, Ljubljana

Tremor UPDRS estimation in home environment

Autori: George Rigas, Dimitris Gatsios, Dimitrios I. Fotiadis, Maria Chondrogiorgi, Christos Tsironis, Spyridon Konitsiotis, Giovanni Gentile, Andrea Marcante, Angelo Antonini
Pubblicato in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Pagina/e 3642-3645, ISBN 978-1-4577-0220-4
Editore: IEEE
DOI: 10.1109/EMBC.2016.7591517

A decision support system based on rapid progression rules to enhance baseline evaluation of Parkinson's disease patients

Autori: Kostas M. Tsiouris, Dimitrios Gatsios, Georgios Rigas, Spiros Konitsiotis, Angelo Antonini, Dimitrios I. Fotiadis
Pubblicato in: 2018
Editore: IEEE

"Decision support systems for Parkinson's disease: State of the art and the ""PD_manager"" approach"

Autori: Marko Bohanec
Pubblicato in: Proceedings of the 18th International Conference Information Society IS 2015, Numero Volume A, 2015, Pagina/e 9-12, ISBN 978-961-264-083-5
Editore: Institut »Jožef Stefan«

Mhealth platform for Parkinson's disease management

Autori: GATSIOS, Dimitros, RIGAS, George, MILJKOVIĆ, Dragana, KOROUŠIĆ-SELJAK, Barbara, BOHANEC, Marko, ARREDONDO, María Soledad, ANTONINI, Angelo, KONITSIOTIS, Spyros, FOTIADIS, Dimitrios I.
Pubblicato in: CBHI 2016, 18th International Conference on Biomedicine and Health Informatics, 2016
Editore: World Academy of Science, Engineering and Technology (WASET)

Can suitable candidates for levodopa/carbidopa intestinal gel therapy be identified using current evidence?

Autori: Maria José Catalán, Angelo Antonini, Matilde Calopa, Ovidiu Băjenaru, Oriol de Fábregues, Adolfo Mínguez-Castellanos, Per Odin, José Manuel García-Moreno, Stephen W. Pedersen, Zvezdan Pirtošek, Jaime Kulisevsky
Pubblicato in: eNeurologicalSci, Numero 8, 2017, Pagina/e 44-53, ISSN 2405-6502
Editore: Elsevier
DOI: 10.1016/j.ensci.2017.06.004

Motor outcomes in patients with advanced Parkinson’s disease treated with levodopa/carbidopa intestinal gel in Italy: an interim analysis from the GREENFIELD observational study

Autori: Leonardo Lopiano, Nicola Modugno, Pietro Marano, Mariachiara Sensi, Giuseppe Meco, Antonino Cannas, Graziano Gusmaroli, Filippo Tamma, Francesca Mancini, Rocco Quatrale, Anna Maria Costanzo, Giuliana Gualberti, Gabriella Melzi, Umberto di Luzio Paparatti, Angelo Antonini
Pubblicato in: Neurological Sciences, Numero 37/11, 2016, Pagina/e 1785-1792, ISSN 1590-1874
Editore: Springer Verlag
DOI: 10.1007/s10072-016-2664-0

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment

Autori: Simon Mezgec, Barbara Koroušić Seljak
Pubblicato in: Nutrients, Numero 9/7, 2017, Pagina/e 657, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu9070657

PD_Manager: an mHealth platform for Parkinson's disease patient management

Autori: Kostas M. Tsiouris, Dimitrios Gatsios, George Rigas, Dragana Miljkovic, Barbara Koroušić Seljak, Marko Bohanec, Maria T. Arredondo, Angelo Antonini, Spyros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis
Pubblicato in: Healthcare Technology Letters, Numero 4/3, 2017, Pagina/e 102-108, ISSN 2053-3713
Editore: The Institution of Engineering and Technology (IET)
DOI: 10.1049/htl.2017.0007

“Gunslinger’s gait”: a new cause of unilaterally reduced arm swing

Autori: Rui Araújo, Joaquim J Ferreira, Angelo Antonini, Bastiaan R Bloem
Pubblicato in: BMJ, 2015, Pagina/e h6141, ISSN 1756-1833
Editore: BMJ
DOI: 10.1136/bmj.h6141

A decision support system for Parkinson disease management: expert models for suggesting medication change

Autori: Marko Bohanec, Dragana Miljković, Anita Valmarska, Biljana Mileva Boshkoska, Elisabetta Gasparoli, Giovanni Gentile, Konstantinos Koutsikos, Andrea Marcante, Angelo Antonini, Dimitrios Gatsios, George Rigas, Dimitrios I. Fotiadis, Kostas M. Tsiouris, Spiros Konitsiotis
Pubblicato in: Journal of Decision Systems, 2018, Pagina/e 1-9, ISSN 1246-0125
Editore: Hermes Science Publishers
DOI: 10.1080/12460125.2018.1469320

Analysis of medications change in Parkinson’s disease progression data

Autori: Anita Valmarska, Dragana Miljkovic, Nada Lavrač, Marko Robnik-Šikonja
Pubblicato in: Journal of Intelligent Information Systems, 2018, ISSN 0925-9902
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10844-018-0502-y

Can telerehabilitation games lead to functional improvement of upper extremities in individuals with Parkinson’s disease?

Autori: Imre Cikajlo, Alma Hukić, Irena Dolinšek, Dejana Zajc, Mateja Vesel, Tatjana Krizmanič, Bojan Blažica, Anton Biasizzo, Franc Novak, Karmen Peterlin Potisk
Pubblicato in: International Journal of Rehabilitation Research, 2018, Pagina/e 1, ISSN 0342-5282
Editore: Lippincott Williams & Wilkins Ltd.
DOI: 10.1097/MRR.0000000000000291

Symptoms and medications change patterns for Parkinson's disease patients stratification

Autori: Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrač, Marko Robnik-Šikonja
Pubblicato in: Artificial Intelligence in Medicine, 2018, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2018.04.010

Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for Parkinson's disease

Autori: Jorge Cancela, Giuseppe Fico, Maria T Arredondo Waldmeyer
Pubblicato in: BMC Medical Informatics and Decision Making, Numero 15/Suppl 3, 2015, Pagina/e S7, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/1472-6947-15-S3-S7

Machine Learning and Data Mining Methods for Managing Parkinson’s Disease

Autori: Dragana Miljkovic, Darko Aleksovski, Vid Podpečan, Nada Lavrač, Bernd Malle, Andreas Holzinger
Pubblicato in: Machine Learning for Health Informatics, 2016, Pagina/e 209-220
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-50478-0_10

Trends and New Advances on Wearable and Mobile Technologies for Parkinson's Disease Monitoring and Assessment of Motor Symptoms: - How New Technologies Can Support Parkinson's Disease

Autori: Jorge Cancela, Matteo Pastorino, Maria Teresa Arredondo Waldmeyer
Pubblicato in: Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions, 2016, Pagina/e 494-517, ISBN 9781-466688292
Editore: IGI Global
DOI: 10.4018/978-1-4666-8828-5.ch023

A mobile monitoring tool for the automatic activity recognition and its application for Parkinson’s disease rehabilitation

Autori: J. Cancela, M. Pastorino, E. Moreno, M. T. Arredondo Waldmeyer
Pubblicato in: World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada, 2015, Pagina/e 1457-1460, ISBN 978-3-319-19387-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-19387-8_355

Descriptive Data Mining for Parkinson's Disease Data Analysis

Autori: Anita Valmarska
Pubblicato in: 2018
Editore: International Postgraduate School of Jozef Stefan

Using the virtual reality in occupational therapy in patient with Parkinsonʼs disease - case report

Autori: HUKIĆ Alma, ZAJC, Dejana, CIKAJLO Imre
Pubblicato in: Delovna terapija pomaga ljudem živeti na svoj način : zbornik z recenzijo, 2016, Pagina/e 16-22
Editore: Ljubljana : Zbornica delovnih terapevtov Slovenije - Strokovno Združenje, 2016 (Ljubljana : Birografika Bori)

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Risultati finali

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