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  4. Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm
 
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2020
Journal Article
Title

Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm

Abstract
Being the second most common neurodegenerative disease, Parkinson's disease (PD) can be symptomatically treated, although, unfortunately, it cannot be cured yet. Moreover, diagnosing and assessing PD patients is a complex process, requiring continuous monitoring. In this vein, the design, development, and validation of innovative assessment tools may be helpful in the management of patients with PD, in particular. Based on intelligent ICT interventions, the i-PROGNOSIS project intends to mitigate PD's specific symptoms, such as neurological movement disorders of gait, balance, coordination, and posture, already characterized in the early phase of the disease. From this perspective, an innovative iPrognosis motor assessment tool is presented here, taking into consideration the Unified Parkinson Disease Rating Scale (UPDRS) Part III motor skills testing items, for evaluating the motor skills status. The efficiency of the proposed Assessment Tests to reflect the motor skills status, similarly to the UPDRS Part III items, was validated via 27 participants (18 males; mean age = 62 years, SD = 10.36 years; range, 4379 years) with early (n = 10) and moderate (n = 17) PD who performed the Assessment Tests. Features from the latter were then correlated with the corresponding clinically assessed UPDRS Part III items, and statistically significant negative correlations (range, -0.364 to -0.802) were identified between the median values of the Assessment Tests and the UPDRS Part III items. In this vein, the iPrognosis Assessment Tests were integrated within the personalized interventions of the i-PROGNOSIS project, providing alternative means of assessing their effect on the PD patient's motor skills enhancement. The promising results presented here elaborate on the concept of using ICT-based assessment means to achieve comparable outcomes with the clinical standards in motor skills assessment.
Author(s)
Dias, Sofia B.
CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
Grammatikopoulou, Athina
Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece
Diniz, José A.
CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal
Dimitropoulos, Kosmas
Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece
Grammalidis, Nikos
Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece
Zilidou, Vicky
Laboratory of Medical Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Savvidis, Theodore
Laboratory of Medical Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Konstantinidis, Evdokimos
Laboratory of Medical Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Bamidis, Panagiotis
Laboratory of Medical Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Jaeger, Hagen  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Stadtschnitzer, Michael  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Silva, Hugo
PLUX, Wireless Biosignals, Lisbon, Portugal
Telo, Gonçalo
PLUX, Wireless Biosignals, Lisbon, Portugal
Ioakeimidis, Ioannis
Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
Ntakakis, George
Elliniko Kentro Kenotomias Microsoft, Athens, Greece
Karayiannis, Fotis
Elliniko Kentro Kenotomias Microsoft, Athens, Greece
Huchet, Estelle
AGE Platform Europe, Brussels, Belgium
Hoermann, Vera
AGE Platform Europe, Brussels, Belgium
Filis, Konstantinos
COSMOTE Kinites Tilepekoinonies AE, Athens, Greece
Theodoropoulou, Elina
COSMOTE Kinites Tilepekoinonies AE, Athens, Greece
Lyberopoulos, George
COSMOTE Kinites Tilepekoinonies AE, Athens, Greece
Kyritsis, Konstantinos
Multimedia Understanding Group, Information Processing Laboratory, Deptartment of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Papadopoulos, Alexandros
Multimedia Understanding Group, Information Processing Laboratory, Deptartment of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Delopoulos, Anastasios
Multimedia Understanding Group, Information Processing Laboratory, Deptartment of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Trivedi, Dhaval
International Parkinson Excellence Research Centre, Kings College Hospital NHS Foundation Trust, United Kingdom
Chaudhuri, Ray K.
International Parkinson Excellence Research Centre, Kings College Hospital NHS Foundation Trust, United Kingdom
Klingelhoefer, Lisa
Department of Neurology, Technical University Dresden
Reichmann, Heinz
Department of Neurology, Technical University Dresden
Bostantzopoulou, Sevasti
Third Neurological Clinic, G. Papanikolaou Hospital, Thessaloniki, Greece
Katsarou, Zoe
Third Neurological Clinic, G. Papanikolaou Hospital, Thessaloniki, Greece
Iakovakis, Dimitrios
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Hadjidimitriou, Stelios
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Charisis, Vasileios
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Apostolidis, George
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Hadjileontiadis, Leontios J.
Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Journal
Frontiers in computer science  
Project(s)
i-Prognosis  
Funder
European Commission EC  
Open Access
File(s)
Download (2.61 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-r-265642
10.3389/fcomp.2020.00020
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • i-PROGNOSIS

  • parkinson's disease (PD)

  • motor assessment tests

  • unified parkinson disease rating scale (UPDRS) part III motor skills decline

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