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

被引:8
|
作者
Dias, Sofia Balula [1 ]
Grammatikopoulou, Athina [2 ]
Diniz, Jose Alves [1 ]
Dimitropoulos, Kosmas [2 ]
Grammalidis, Nikos [2 ]
Zilidou, Vicky [3 ]
Savvidis, Theodore [3 ]
Konstantinidis, Evdokimos [3 ]
Bamidis, Panagiotis D. [3 ]
Jaeger, Hagen [4 ]
Stadtschnitzer, Michael [4 ]
Silva, Hugo [5 ]
Telo, Goncalo [5 ]
Ioakeimidis, Ioannis [6 ]
Ntakakis, George [7 ]
Karayiannis, Fotis [7 ]
Huchet, Estelle [8 ]
Hoermann, Vera [8 ]
Filis, Konstantinos [9 ]
Theodoropoulou, Elina [9 ]
Lyberopoulos, George [9 ]
Kyritsis, Konstantinos [10 ]
Papadopoulos, Alexandros [10 ]
Delopoulos, Anastasios [10 ]
Trivedi, Dhaval [11 ]
Chaudhuri, K. Ray [11 ]
Klingelhoefer, Lisa [12 ]
Reichmann, Heinz [12 ]
Bostantzopoulou, Sevasti [13 ]
Katsarou, Zoe [13 ]
Iakovakis, Dimitrios [14 ]
Hadjidimitriou, Stelios [14 ]
Charisis, Vasileios [14 ]
Apostolidis, George [14 ]
Hadjileontiadis, Leontios J. [14 ,15 ]
机构
[1] Univ Lisbon, CIPER, Fac Motricidade Humana, Lisbon, Portugal
[2] Inst Informat Technol, Ctr Res & Technol Hellas, Thessaloniki, Greece
[3] Aristotle Univ Thessaloniki, Lab Med Phys, Thessaloniki, Greece
[4] Fraunhofer Inst IAIS, Dept NetMedia, St Augustin, Germany
[5] Wireless Biosignals, PLUX, Lisbon, Portugal
[6] Karolinska Inst, Dept Biosci & Nut, Huddinge, Sweden
[7] Elliniko Kentro Kenotomias Microsoft, Athens, Greece
[8] AGE Platform Europe, Brussels, Belgium
[9] COSMOTE Kinites Tilepekoinonies AE, Athens, Greece
[10] Aristotle Univ Thessaloniki, Multimedia Understanding Grp, Informat Proc Lab, Dept Elect & Comp Engn, Thessaloniki, Greece
[11] Kings Coll Hosp NHS Fdn Trust, Int Parkinson Excellence Res Ctr, London, England
[12] Tech Univ Dresden, Dept Neurol, Dresden, Germany
[13] G Papanikolaou Hosp, Neurol Clin 3, Thessaloniki, Greece
[14] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki, Greece
[15] Khalifa Univ Sci & Technol, Dept Elect & Comp Engn, Abu Dhabi, U Arab Emirates
来源
基金
欧盟地平线“2020”;
关键词
i-PROGNOSIS; parkinson's disease (PD); motor assessment tests; unified parkinson disease rating scale (UPDRS) part III; motor skills decline; RELIABILITY; WALKING; BALANCE; PERFORMANCE; PEOPLE; STROKE; FALLS; INDIVIDUALS; IMPAIRMENT; VALIDATION;
D O I
10.3389/fcomp.2020.00020
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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, 43-79 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.
引用
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页数:19
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