Centre for Biomedical Engineering, Indian Institute of Technology Delhi (IITD), New Delhi 110016, India.
Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi 110029, India.
Int J Environ Res Public Health. 2022 Jan 27;19(3):1442. doi: 10.3390/ijerph19031442.
Stroke, affecting approximately 15 million people worldwide, has long been a global cause of death and disability. Virtual Reality (VR) has shown its potential as an assistive tool for post-stroke rehabilitation. The objective of this pilot study was to define the task-specific performance metrics of VR tasks to assess the performance level of healthy subjects and patients quantitatively and to obtain their feedback for improving the developed framework. A pilot prospective study was designed. We tested the designed VR tasks on forty healthy right-handed subjects to evaluate its potential. Qualitative trajectory plots and three quantitative performance metrics-time taken to complete the task, percentage relative error, and trajectory smoothness-were computed from the recorded data of forty healthy subjects. Two patients with stroke were also enrolled to compare their performance with healthy subjects. Each participant received one VR session of 90 min. No adverse effects were noticed throughout the study. Performance metrics obtained from healthy subjects were used as a reference for patients. Relatively higher values of task completion time and trajectory smoothness and lower values of relative % error was observed for the affected hands w.r.t the unaffected hands of both the patients. For the unaffected hands of both the patients, the performance levels were found objectively closer to that of healthy subjects. A library of VR tasks for wrist and fingers were designed, and task-specific performance metrics were defined in this study. The evaluation of the VR exercises using these performance metrics will help the clinicians to assess the patient's progress quantitatively and to design the rehabilitation framework for a future clinical study.
中风影响了全球约 1500 万人,长期以来一直是全球死亡和残疾的主要原因。虚拟现实(VR)已显示出其作为中风后康复辅助工具的潜力。本研究旨在定义 VR 任务的特定任务性能指标,以定量评估健康受试者和患者的表现水平,并获得他们的反馈,以改进开发的框架。设计了一项前瞻性的初步研究。我们对 40 名健康的右利手受试者进行了设计的 VR 任务测试,以评估其潜力。从 40 名健康受试者的记录数据中计算出定性轨迹图和三个定量性能指标:完成任务所需的时间、相对百分比误差和轨迹平滑度。还招募了 2 名中风患者,以比较他们与健康受试者的表现。每位参与者接受了 90 分钟的 VR 治疗。在整个研究过程中,未发现任何不良反应。健康受试者的表现指标被用作患者的参考。与健康受试者相比,两名患者的受影响手的任务完成时间、轨迹平滑度较高,相对百分比误差较低。对于两名患者的未受影响的手,其表现水平被发现客观上更接近健康受试者。本研究设计了一套用于手腕和手指的 VR 任务,并定义了特定任务的性能指标。使用这些性能指标评估 VR 锻炼将有助于临床医生对患者的进展进行定量评估,并为未来的临床研究设计康复框架。