The Impact of Virtual Reality as a Rehabilitation Method Using TRAVEE System on Functional Outcomes and Disability in Stroke Patients: A Pilot Study

被引:0
|
作者
Potcovaru, Claudia-Gabriela [1 ,2 ]
Cinteza, Delia [1 ,2 ]
Sandulescu, Miruna Ioana [1 ,2 ]
Poenaru, Daniela [1 ,2 ]
Chiriac, Ovidiu [2 ]
Lambru, Cristian [3 ]
Moldoveanu, Alin [3 ]
Anghel, Ana Magdalena [4 ]
Berteanu, Mihai [1 ]
机构
[1] Carol Davila Univ Med & Pharm, Phys Med & Rehabil, Bucharest 050474, Romania
[2] Natl Inst Rehabil Phys Med & Balneoclimatol, Bucharest 030079, Romania
[3] Natl Univ Sci & Technol Politehn Bucharest, Fac Automat Control & Comp, Comp Dept, Bucharest 060042, Romania
[4] Natl Univ Sci & Technol Politehn Bucharest, Fac Automat Control & Comp, Automat Control & Appl Informat Dept, Bucharest 060042, Romania
关键词
stroke; rehabilitation; disability; WHODAS; 2.0; upper limb; virtual reality; MOTOR RECOVERY; NEUROREHABILITATION; SPASTICITY;
D O I
10.3390/biomedicines12112450
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Stroke is the third leading cause of disability. Virtual reality (VR) has shown promising results in post-stroke rehabilitation. The VR TRAVEE system was designed for the neuromotor rehabilitation of the upper limb after a stroke and offers the ability to track limb movements by providing auditory feedback and visual augmentation. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), aligned with the International Classification of Functioning, Disability, and Health (ICF) principles, is a valid tool for measuring disability regardless of its cause. This study aimed to investigate the feasibility of the VR TRAVEE system in upper limb rehabilitation for stroke patients. Methods: A total of 14 stroke patients with residual hemiparesis were enrolled in the study. They underwent a 10-day program combining conventional therapy (CnvT) with VR rehabilitation. At baseline (T0), the upper limb was assessed using the Modified Ashworth Scale (MAS), active range of motion (AROM), and the Numeric Rating Scale (NRS) for pain. These assessments were repeated after the 10-day rehabilitation program (T1). Additionally, disability was measured using WHODAS 2.0 at T0 and again 30 days after completing the program. Results: Significant improvements were observed in AROM and MAS scores for the shoulder, elbow, wrist, and metacarpophalangeal joints, as well as in the reduction in shoulder pain (p < 0.001). WHODAS scores decreased across all six domains, with a statistically significant improvement in the Cognition domain (p = 0.011). Conclusions: Combining CnvT with VR as a rehabilitation approach enhances motor function in the upper limb. This method has the potential to reduce disability scores and promote neuroplasticity.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Elements virtual rehabilitation improves motor, cognitive, and functional outcomes in adult stroke: evidence from a randomized controlled pilot study
    Rogers, Jeffrey M.
    Duckworth, Jonathan
    Middleton, Sandy
    Steenbergen, Bert
    Wilson, Peter H.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2019, 16 (1)
  • [22] Elements virtual rehabilitation improves motor, cognitive, and functional outcomes in adult stroke: evidence from a randomized controlled pilot study
    Jeffrey M. Rogers
    Jonathan Duckworth
    Sandy Middleton
    Bert Steenbergen
    Peter H. Wilson
    Journal of NeuroEngineering and Rehabilitation, 16
  • [23] A Depth Camera-Based, Task-Specific Virtual Reality Rehabilitation Game for Patients With Stroke: Pilot Usability Study
    Xu, Yangfan
    Tong, Meiqinzi
    Ming, Wai-Kit
    Lin, Yangyang
    Mai, Wangxiang
    Huang, Weixin
    Chen, Zhuoming
    JMIR SERIOUS GAMES, 2021, 9 (01):
  • [24] Wrist Rehabilitation System Using Augmented Reality for Hemiplegic Stroke Patient Rehabilitation: A Feasibility Study
    Phan, Huu Lam
    Kim, Jong Pal
    Kim, Kwangsoo
    Hwang, Chang Ho
    Koo, Kyo-in
    APPLIED SCIENCES-BASEL, 2019, 9 (14):
  • [25] Physical Activity, Psychological and Functional Outcomes in Non-Ambulatory Stroke Patients during Rehabilitation-A Pilot Study
    Blaszcz, Marcin
    Prucnal, Nina
    Wrzesniewski, Krzysztof
    Pasiut, Szymon
    Mika, Piotr
    Kucia, Malgorzata
    Stach, Beata
    Wozniak, Marcin
    Mirek, Elzbieta
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (24)
  • [26] Combining levodopa and virtual reality-based therapy for rehabilitation of the upper limb after acute stroke: pilot study Part II
    Samuel, Geoffrey Sithamparapillai
    Oey, Nicodemus Edrick
    Choo, Min
    Ju, Han
    Chan, Wai Yin
    Kok, Stanley
    Ge, Yu
    Van Dongen, Antonius M.
    Ng, Yee Sien
    SINGAPORE MEDICAL JOURNAL, 2017, 58 (10) : 610 - 617
  • [27] Autonomous rehabilitation at stroke patients home for balance and gait: safety, usability and compliance of a virtual reality system
    Held, Jeremia P.
    Ferrer, Begona
    Mainetti, Renato
    Steblin, Alexander
    Hertler, Benjamin
    Moreno-Conde, Alberto
    Duenas, Alvaro
    Pajaro, Marta
    Parra-Calderon, Carlos L.
    Vargiu, Eloisa
    Jose Zarco, Maria
    Barrera, Maria
    Echevarria, Carmen
    Jodar-Sanchez, Francisco
    Luft, Andreas R.
    Alberto Borghese, N.
    EUROPEAN JOURNAL OF PHYSICAL AND REHABILITATION MEDICINE, 2018, 54 (04) : 545 - 553
  • [28] Feasibility and Efficacy of a Virtual Reality Game-Based Upper Extremity Motor Function Rehabilitation Therapy in Patients with Chronic Stroke: A Pilot Study
    Aguilera-Rubio, Angela
    Cuesta-Gomez, Alicia
    Mallo-Lopez, Ana
    Jardon-Huete, Alberto
    Daniel Ona-Simbana, Edwin
    Alguacil-Diego, Isabel Ma
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (06)
  • [29] Graph analysis of cortical reorganization after virtual reality-based rehabilitation following stroke: a pilot randomized study
    Feitosa, Jamille Almeida
    Casseb, Raphael Fernandes
    Camargo, Alline
    Brandao, Alexandre Fonseca
    Li, Li Min
    Castellano, Gabriela
    FRONTIERS IN NEUROLOGY, 2023, 14
  • [30] A Post-Stroke Rehabilitation System With Compensatory Movement Detection Using Virtual Reality and Electroencephalogram Technologies
    Shih, Chi-Huang
    Lin, Pei-Jung
    Chen, Yen-Lin
    Chen, Shu-Ling
    IEEE ACCESS, 2024, 12 : 61418 - 61432