Mirjam Bonanno, Maria Grazia Maggio, Paolo De Pasquale, Laura Ciatto, Antonino Lombardo Facciale, Morena De Francesco, Giuseppe Andronaco, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò
{"title":"基于传感器的虚拟现实远程康复对COVID-19大流行慢性脑卒中患者下肢功能的潜在影响:一项回顾性病例对照研究","authors":"Mirjam Bonanno, Maria Grazia Maggio, Paolo De Pasquale, Laura Ciatto, Antonino Lombardo Facciale, Morena De Francesco, Giuseppe Andronaco, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò","doi":"10.3390/medsci13020065","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/objectives: </strong>Individuals with chronic stroke often experience various impairments, including poor balance, reduced mobility, limited physical activity, and difficulty performing daily tasks. In the context of the COVID-19 pandemic, telerehabilitation (TR) can overcome the barriers of geographical and physical distancing, time, costs, and travel, as well as the anxiety about contracting COVID-19. In this retrospective case-control study, we aim to evaluate the motor and cognitive effects of balance TR training carried out with a sensor-based non-immersive virtual reality system compared to conventional rehabilitation in chronic stroke patients.</p><p><strong>Methods: </strong>Twenty chronic post-stroke patients underwent evaluation for inclusion in the analysis through an electronic recovery data system. The patients included in the study were divided into two groups with similar medical characteristics and duration of rehabilitation training. However, the groups differed in the type of rehabilitation approach used. The experimental group (EG) received TR with a sensor-based VR device, called VRRS-HomeKit (n. 10). In contrast, the control group (CG) underwent conventional home-based rehabilitation (n. 10).</p><p><strong>Results: </strong>At the end of the training, we observed significant improvements in the EG in the 10-m walking test (10MWT) (<i>p</i> = 0.01), Timed-Up-Go Left (TUG L) (<i>p</i> = 0.01), and Montreal Cognitive Assessment (MoCA) (<i>p</i> = 0.005).</p><p><strong>Conclusions: </strong>In our study, we highlighted the potential role of sensor-based virtual reality TR in chronic stroke patients for improving lower limb function, suggesting that this approach is feasible and not inferior to conventional home-based rehabilitation.</p>","PeriodicalId":74152,"journal":{"name":"Medical sciences (Basel, Switzerland)","volume":"13 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12195538/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Potential Effects of Sensor-Based Virtual Reality Telerehabilitation on Lower Limb Function in Patients with Chronic Stroke Facing the COVID-19 Pandemic: A Retrospective Case-Control Study.\",\"authors\":\"Mirjam Bonanno, Maria Grazia Maggio, Paolo De Pasquale, Laura Ciatto, Antonino Lombardo Facciale, Morena De Francesco, Giuseppe Andronaco, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò\",\"doi\":\"10.3390/medsci13020065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/objectives: </strong>Individuals with chronic stroke often experience various impairments, including poor balance, reduced mobility, limited physical activity, and difficulty performing daily tasks. In the context of the COVID-19 pandemic, telerehabilitation (TR) can overcome the barriers of geographical and physical distancing, time, costs, and travel, as well as the anxiety about contracting COVID-19. In this retrospective case-control study, we aim to evaluate the motor and cognitive effects of balance TR training carried out with a sensor-based non-immersive virtual reality system compared to conventional rehabilitation in chronic stroke patients.</p><p><strong>Methods: </strong>Twenty chronic post-stroke patients underwent evaluation for inclusion in the analysis through an electronic recovery data system. The patients included in the study were divided into two groups with similar medical characteristics and duration of rehabilitation training. However, the groups differed in the type of rehabilitation approach used. The experimental group (EG) received TR with a sensor-based VR device, called VRRS-HomeKit (n. 10). In contrast, the control group (CG) underwent conventional home-based rehabilitation (n. 10).</p><p><strong>Results: </strong>At the end of the training, we observed significant improvements in the EG in the 10-m walking test (10MWT) (<i>p</i> = 0.01), Timed-Up-Go Left (TUG L) (<i>p</i> = 0.01), and Montreal Cognitive Assessment (MoCA) (<i>p</i> = 0.005).</p><p><strong>Conclusions: </strong>In our study, we highlighted the potential role of sensor-based virtual reality TR in chronic stroke patients for improving lower limb function, suggesting that this approach is feasible and not inferior to conventional home-based rehabilitation.</p>\",\"PeriodicalId\":74152,\"journal\":{\"name\":\"Medical sciences (Basel, Switzerland)\",\"volume\":\"13 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12195538/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical sciences (Basel, Switzerland)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/medsci13020065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical sciences (Basel, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/medsci13020065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
背景/目的:慢性中风患者通常会经历各种损伤,包括平衡能力差、活动能力下降、体力活动受限和日常工作困难。在2019冠状病毒病大流行的背景下,远程康复可以克服地理和物理距离、时间、成本和旅行等障碍,以及对感染COVID-19的焦虑。在这项回顾性病例对照研究中,我们旨在评估基于传感器的非沉浸式虚拟现实系统进行的平衡TR训练与常规康复对慢性脑卒中患者运动和认知的影响。方法:通过电子康复数据系统对20例慢性脑卒中后患者进行评估并纳入分析。将纳入研究的患者分为医学特征和康复训练时间相似的两组。然而,两组在使用的康复方法类型上有所不同。实验组(EG)使用基于传感器的VR设备VRRS-HomeKit (n. 10)接受TR。对照组(CG)接受传统的家庭康复治疗(n. 10)。结果:在训练结束时,我们观察到10米步行测试(10MWT)的EG (p = 0.01), time - up - go Left (TUG L) (p = 0.01)和蒙特利尔认知评估(MoCA) (p = 0.005)有显著改善。结论:在我们的研究中,我们强调了基于传感器的虚拟现实TR在慢性脑卒中患者中改善下肢功能的潜在作用,表明这种方法是可行的,并不亚于传统的家庭康复。
The Potential Effects of Sensor-Based Virtual Reality Telerehabilitation on Lower Limb Function in Patients with Chronic Stroke Facing the COVID-19 Pandemic: A Retrospective Case-Control Study.
Background/objectives: Individuals with chronic stroke often experience various impairments, including poor balance, reduced mobility, limited physical activity, and difficulty performing daily tasks. In the context of the COVID-19 pandemic, telerehabilitation (TR) can overcome the barriers of geographical and physical distancing, time, costs, and travel, as well as the anxiety about contracting COVID-19. In this retrospective case-control study, we aim to evaluate the motor and cognitive effects of balance TR training carried out with a sensor-based non-immersive virtual reality system compared to conventional rehabilitation in chronic stroke patients.
Methods: Twenty chronic post-stroke patients underwent evaluation for inclusion in the analysis through an electronic recovery data system. The patients included in the study were divided into two groups with similar medical characteristics and duration of rehabilitation training. However, the groups differed in the type of rehabilitation approach used. The experimental group (EG) received TR with a sensor-based VR device, called VRRS-HomeKit (n. 10). In contrast, the control group (CG) underwent conventional home-based rehabilitation (n. 10).
Results: At the end of the training, we observed significant improvements in the EG in the 10-m walking test (10MWT) (p = 0.01), Timed-Up-Go Left (TUG L) (p = 0.01), and Montreal Cognitive Assessment (MoCA) (p = 0.005).
Conclusions: In our study, we highlighted the potential role of sensor-based virtual reality TR in chronic stroke patients for improving lower limb function, suggesting that this approach is feasible and not inferior to conventional home-based rehabilitation.