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PD_manager SIGNED

mhealth platform for Parkinson’s disease management

Total Cost €


EC-Contrib. €






 PD_manager project word cloud

Explore the words cloud of the PD_manager project. It provides you a very rough idea of what is the project "PD_manager" about.

postural    care    efficiency    data    light    prolongation    diagnostic    mobile    insoles    internet    co    judgment    benefits    fi    unobtrusive    sleep    centric    enrolled    tremor    200    actors    imbalance    symptoms    innovative    patient    disease    wristband    abovementioned    effectiveness    smartphone    paramount    cognitive    quality    mining    commercial    caregiver    evaluation    speech    diet    captured    adhere    medication    total    things    model    undertaken    educated    disorders    occupational    bradykinesia    medical    motivated    economic    recommendations    manager    empowered    therapy    sensors    parkinson    first    cloud    acceptability    motor    life    self    successful    routine    patients    mhealth    clinical    modifications    gains    platform    sensor    independence    usability    physiotherapies    ware    experts    230    primary    architecture    pilot    decomposition    pd    outcomes    apps    operative    exercise    validation    decision    compliance    health    ecosystem    suggestions   

Project "PD_manager" data sheet

The following table provides information about the project.


Organization address
address: Jamova 39
postcode: 1000

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Slovenia [SI]
 Project website
 Total cost 4˙345˙500 €
 EC max contribution 4˙345˙500 € (100%)
 Programme 1. H2020-EU.3.1.4. (Active ageing and self-management of health)
 Code Call H2020-PHC-2014-single-stage
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2018-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT JOZEF STEFAN SI (LJUBLJANA) coordinator 642˙312.00
2    PANEPISTIMIO IOANNINON EL (IOANNINA) participant 595˙375.00
4    UNIVERSITY OF SURREY UK (GUILDFORD) participant 577˙125.00
5    MOTICON DE (MUNCHEN) participant 436˙250.00
7    BIOTRONICS 3D LIMITED UK (LONDON) participant 323˙750.00
8    FONDAZIONE SANTA LUCIA IT (Roma) participant 296˙250.00
10    SYNTHEMA S.R.L. IT (PISA) participant 146˙361.00
12    LIVE SRL IT (PADOVA PD) participant 46˙638.00


 Project objective

PD_manager aims to build and evaluate an innovative, mhealth, patient centric ecosystem for Parkinson’s disease (PD) management. The analysis of experts’ diagnostic behaviour and the decomposition of tasks undertaken by the various actors during the disease management will enable the validation of technology against routine clinical judgment measures . Primary motor symptoms such as tremor, bradykinesia and postural imbalance and non-motor symptoms, such as sleep, speech and cognitive disorders, will be evaluated with data captured by light, unobtrusive, co-operative, mobile devices: sensor insoles, a wristband and the patient’s or caregiver’s (the role of which is of paramount importance) smartphone. Data mining studies will lead to the implementation of a Decision Support Platform with suggestions for modifications in the medication which is the key for prolongation of independence and improved Quality of Life. Compliance with medical recommendations will also be studied; the patient will be motivated to adhere to his medication and diet, will be empowered to exercise and make physiotherapies and will be educated about occupational and speech therapy in order to self-manage his condition. The PD_manager Knowledge Management platform will be built with a cloud-based, open architecture approach based on FI-WARE that will support the use of any commercial set of sensors within the Internet of Things concept. The successful implementation of all abovementioned objectives will be evaluated in a total of 230 patients (the 30 that will be enrolled at the first phase of the project and 200 more during the pilot). In addition to the evaluation of the clinical effectiveness, acceptability and usability of the developed platform and mobile apps a detailed study for the potential of PD_manager as a new care model in terms of health outcomes, quality of life, care efficiency gains and economic benefits will also be conducted.


List of deliverables.
Data Management Plan Open Research Data Pilot 2019-04-29 08:12:50
Final report on dissemination activities Documents, reports 2019-04-29 08:12:50
PD_manager application Other 2019-04-29 08:12:50
Dissemination plan Documents, reports 2019-04-29 08:12:50
PD Nutrition study Other 2019-04-29 08:12:49
Non Motor Symptoms monitoring Other 2019-04-29 08:12:49
Knowledge MGT platform Other 2019-04-29 08:12:49
Educational Gallery Other 2019-04-29 08:12:49
Gamification of Physiotherapy Other 2019-04-29 08:12:50
State of the art Documents, reports 2019-04-29 08:12:49
Intermediate report on dissemination activities Documents, reports 2019-04-29 08:12:49

Take a look to the deliverables list in detail:  detailed list of PD_manager deliverables.


year authors and title journal last update
List of publications.
2016 Jorge Cancela, Samanta Villanueva Mascato, Giovanni Gentile, Manuela Giglio, Roberta Biundo, Maria Teresa Arredondo Waldmeyer, Angelo Antonini
Design and Development of a Mobile Application to Explore Cognitive Skills in Parkinson’s Disease Patientsv
published pages: 1150-1155, ISSN: , DOI: 10.1007/978-3-319-32703-7_224
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 2019-05-29
2017 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
PD_Manager: an mHealth platform for Parkinson\'s disease patient management
published pages: 102-108, ISSN: 2053-3713, DOI: 10.1049/htl.2017.0007
Healthcare Technology Letters 4/3 2019-05-29
2017 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
Can suitable candidates for levodopa/carbidopa intestinal gel therapy be identified using current evidence?
published pages: 44-53, ISSN: 2405-6502, DOI: 10.1016/j.ensci.2017.06.004
eNeurologicalSci 8 2019-05-29
2016 GATSIOS, Dimitros, RIGAS, George, MILJKOVIĆ, Dragana, KOROUŠIĆ-SELJAK, Barbara, BOHANEC, Marko, ARREDONDO, María Soledad, ANTONINI, Angelo, KONITSIOTIS, Spyros, FOTIADIS, Dimitrios I.
Mhealth platform for Parkinson\'s disease management
published pages: , ISSN: , DOI:
CBHI 2016, 18th International Conference on Biomedicine and Health Informatics 2019-05-29
2015 Jorge Cancela, Giuseppe Fico, Maria T Arredondo Waldmeyer
Using the Analytic Hierarchy Process (AHP) to understand the most important factors to design and evaluate a telehealth system for Parkinson\'s disease
published pages: S7, ISSN: 1472-6947, DOI: 10.1186/1472-6947-15-S3-S7
BMC Medical Informatics and Decision Making 15/Suppl 3 2019-05-29
2015 Rui Araújo, Joaquim J Ferreira, Angelo Antonini, Bastiaan R Bloem
“Gunslinger’s gait”: a new cause of unilaterally reduced arm swing
published pages: h6141, ISSN: 1756-1833, DOI: 10.1136/bmj.h6141
BMJ 2019-05-29
2018 Imre Cikajlo, Alma Hukić, Irena Dolinšek, Dejana Zajc, Mateja Vesel, Tatjana Krizmanič, Bojan Blažica, Anton Biasizzo, Franc Novak, Karmen Peterlin Potisk
Can telerehabilitation games lead to functional improvement of upper extremities in individuals with Parkinson’s disease?
published pages: 1, ISSN: 0342-5282, DOI: 10.1097/MRR.0000000000000291
International Journal of Rehabilitation Research 2019-05-29
2016 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
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
published pages: 1785-1792, ISSN: 1590-1874, DOI: 10.1007/s10072-016-2664-0
Neurological Sciences 37/11 2019-05-29
2018 Anita Valmarska, Dragana Miljkovic, Nada Lavrač, Marko Robnik-Šikonja
Analysis of medications change in Parkinson’s disease progression data
published pages: , ISSN: 0925-9902, DOI: 10.1007/s10844-018-0502-y
Journal of Intelligent Information Systems 2019-05-29
2016 HUKIĆ Alma, ZAJC, Dejana, CIKAJLO Imre
Using the virtual reality in occupational therapy in patient with Parkinsonʼs disease - case report
published pages: 16-22, ISSN: , DOI:
Delovna terapija pomaga ljudem živeti na svoj način : zbornik z recenzijo 2019-05-29
2017 Simon Mezgec, Barbara Koroušić Seljak
NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment
published pages: 657, ISSN: 2072-6643, DOI: 10.3390/nu9070657
Nutrients 9/7 2019-05-29
2016 Dragana Miljkovic, Darko Aleksovski, Vid Podpečan, Nada Lavrač, Bernd Malle, Andreas Holzinger
Machine Learning and Data Mining Methods for Managing Parkinson’s Disease
published pages: 209-220, ISSN: , DOI: 10.1007/978-3-319-50478-0_10
Machine Learning for Health Informatics 2019-05-29
2017 Anita Valmarska, Dragana Miljkovic, Marko Robnik-Šikonja, Nada Lavrač
Multi-view Approach to Parkinson’s Disease Quality of Life Data Analysis
published pages: 163-178, ISSN: , DOI: 10.1007/978-3-319-61461-8_11
New Frontiers in Mining Complex Patterns 2019-05-29
2018 Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrač, Marko Robnik-Šikonja
Symptoms and medications change patterns for Parkinson\'s disease patients stratification
published pages: , ISSN: 0933-3657, DOI: 10.1016/j.artmed.2018.04.010
Artificial Intelligence in Medicine 2019-05-29
2017 Anita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, Dimitris Gatsios, Nada Lavrač, Marko Robnik-Šikonja
Combining Multitask Learning and Short Time Series Analysis in Parkinson’s Disease Patients Stratification
published pages: 116-125, ISSN: , DOI: 10.1007/978-3-319-59758-4_13
Artificial Intelligence in Medicine 2019-05-29
2018 Anita Valmarska
Descriptive Data Mining for Parkinson\'s Disease Data Analysis
published pages: , ISSN: , DOI:
2018 Kostas M. Tsiouris, Dimitrios 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
published pages: , ISSN: , DOI:
2018 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
A decision support system for Parkinson disease management: expert models for suggesting medication change
published pages: 1-9, ISSN: 1246-0125, DOI: 10.1080/12460125.2018.1469320
Journal of Decision Systems 2019-05-29

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The information about "PD_MANAGER" are provided by the European Opendata Portal: CORDIS opendata.

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