Validity of a Fully-Immersive VR-Based Version of the Box and Blocks Test for Upper Limb Function Assessment in Parkinson's Disease

被引:47
作者
Ona, Edwin Daniel [1 ]
Jardon, Alberto [1 ]
Cuesta-Gomez, Alicia [2 ]
Sanchez-Herrera-Baeza, Patricia [2 ]
Cano-de-la-Cuerda, Roberto [2 ]
Balaguer, Carlos [1 ]
机构
[1] Univ Carlos III Madrid, Dept Syst Engn & Automat, Avda Univ 30, Leganes 28911, Spain
[2] Rey Juan Carlos Univ, Dept Phys Therapy Occupat Therapy Rehabil & Phys, Avda Atenas S-N, Alcorcon 28922, Spain
关键词
automatic; assessment; manual dexterity; Parkinson's disease; neurological rehabilitation; virtual reality; games for health; VIRTUAL-REALITY; STROKE REHABILITATION; OUTCOME MEASURES; MIXED METHODS;
D O I
10.3390/s20102773
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In recent decades, gaming technology has been accepted as a feasible method for complementing traditional clinical practice, especially in neurorehabilitation; however, the viability of using 3D Virtual Reality (VR) for the assessment of upper limb motor function has not been fully explored. For that purpose, we developed a VR-based version of the Box and Blocks Test (BBT), a clinical test for the assessment of manual dexterity, as an automated alternative to the classical procedure. Our VR-based BBT (VR-BBT) integrates the traditional BBT mechanics into gameplay using the Leap Motion Controller (LMC) to capture the user's hand motion and the Oculus Rift headset to provide a fully immersive experience. This paper focuses on evaluating the validity of our VR-BBT to reliably measure the manual dexterity in a sample of patients with Parkinson's Disease (PD). For this study, a group of twenty individuals in a mild to moderate stage of PD were recruited. Participants were asked to perform the physical BBT (once) and our proposed VR-BBT (twice) system, separately. Correlation analysis of collected data was carried out. Statistical analysis proved that the performance data collected by the VR-BBT significantly correlated with the conventional assessment of the BBT. The VR-BBT scores have shown a significant association with PD severity measured by the Hoehn and Yahr scale. This fact suggests that the VR-BBT could be used as a reliable indicator for health improvements in patients with PD. Finally, the VR-BBT system presented high usability and acceptability rated by clinicians and patients.
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页数:17
相关论文
共 39 条
[1]   Parkinson's Disease in the Gulf Countries: An Updated Review [J].
Alamri, Yassar ;
MacAskill, Michael ;
Anderson, Tim ;
Benamer, Hani .
EUROPEAN NEUROLOGY, 2015, 74 (3-4) :222-225
[2]  
[Anonymous], 2001, INTRO PRACTICA REALI
[3]  
Barry G, 2014, J NEUROENG REHABIL, V11, DOI [10.1186/1743-0003-11-33, 10.1186/1743-0003-11-60]
[4]  
Bayon M., 2010, Rehabilitacion, V44, P256
[5]   Upper-Limb Function Assessment Using VBBTs for Stroke Patients [J].
Cho, Sungmin ;
Kim, Won-Seok ;
Paik, Nam-Jong ;
Bang, Hyunwoo .
IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2016, 36 (01) :70-78
[6]  
Chun-Chuan Chen, 2017, 2017 International Conference on Applied System Innovation (ICASI). Proceedings, P683, DOI 10.1109/ICASI.2017.7988517
[7]   Mixed Methods in Biomedical and Health Services Research [J].
Curry, Leslie A. ;
Krumholz, Harlan M. ;
O'Cathain, Alicia ;
Clark, Vicki L. Plano ;
Cherlin, Emily ;
Bradley, Elizabeth H. .
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2013, 6 (01) :119-123
[8]   Evaluating A VR-based Box and Blocks Test for Automatic Assessment of Manual Dexterity: A Preliminary Study in Parkinson's Disease [J].
Daniel Ona, Edwin ;
Cuesta-Gomez, Alicia ;
Garcia, Jaime A. ;
Raffe, William ;
Sanchez-Herrera, Patricia ;
Cano-de-la-Cuerda, Roberto ;
Jardon, Alberto .
2019 IEEE 7TH INTERNATIONAL CONFERENCE ON SERIOUS GAMES AND APPLICATIONS FOR HEALTH (SEGAH), 2019,
[9]   The Automated Box and Blocks Test an Autonomous Assessment Method of Gross Manual Dexterity in Stroke Rehabilitation [J].
Daniel Ona, Edwin ;
Jardon, Alberto ;
Balaguer, Carlos .
TOWARDS AUTONOMOUS ROBOTIC SYSTEMS (TAROS 2017), 2017, 10454 :101-114
[10]  
DESROSIERS J, 1994, ARCH PHYS MED REHAB, V75, P751