Franzò Michela, Marinozzi Franco, Finti Alessia, Lattao Marco, Trabassi Dante, Castiglia Stefano Filippo, Serrao Mariano, Bini Fabiano
Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00196 Rome, Italy.
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00185 Rome, Italy.
Brain Sci. 2024 Oct 16;14(10):1023. doi: 10.3390/brainsci14101023.
Occupational therapy (OT) is an essential component of patient care, and it is especially beneficial if focused on meaningful activities. For ataxic patients, traditional procedures are currently the most efficient, although without specific guidelines and suggestions for virtual reality integration. In this context, this study proposes Hybrid Smart Rehabilitation (HSR) based on mixed reality (MR) as an aid in overcoming limitations of the traditional OT procedures.
MR-HSR is designed specifically for ataxic patients and developed in Unity with the Holographic Remoting setting for run-time intervention on the scene. The subject reaches a book and grabs it with their hand inside a holographic guide with audio-visive feedback. Hand trajectories acquired from eight ataxic patients and eight healthy subjects were compared and new variables were analyzed to evaluate the performance. The Trust in Automation questionnaire was submitted to assess the opinion of the patients.
Patients confirmed their trust in the developer and in the improvement that this system can bring to their rehabilitation. The "total time" and "sway area" of the trajectory were statistically significant and, together with the deviation of the trajectory from the main axis of the guide, although not statistically significant, made it possible to build a classifier.
The patient-specific MR-HSR can be considered as an integrative tool for assessing the subject's condition by analyzing new quantitative variables which, if matched to the Scale for the Assessment and Rating of Ataxia (SARA), could be the basis of a new index to assess the progressiveness of ataxia.
职业治疗（OT）是患者护理的重要组成部分，如果专注于有意义的活动则尤其有益。对于共济失调患者，目前传统程序是最有效的，尽管缺乏虚拟现实整合的具体指南和建议。在此背景下，本研究提出基于混合现实（MR）的混合智能康复（HSR），以帮助克服传统OT程序的局限性。
MR-HSR专为共济失调患者设计，并在Unity中开发，具有全息远程设置以在现场进行实时干预。受试者在一个带有视听反馈的全息引导内伸手去拿一本书并用手抓住它。比较了从八名共济失调患者和八名健康受试者获取的手部轨迹，并分析了新的变量以评估性能。提交了自动化信任问卷以评估患者的意见。
患者确认了他们对开发者以及该系统能给他们的康复带来改善的信任。轨迹的“总时间”和“摆动面积”具有统计学意义，并且与轨迹偏离引导主轴的情况一起，尽管不具有统计学意义，但有可能构建一个分类器。
特定患者的MR-HSR可被视为一种综合工具，通过分析新的定量变量来评估受试者的状况，这些变量如果与共济失调评估和评分量表（SARA）相匹配，可能成为评估共济失调进展的新指标的基础。
