Tommaso Proietti, Kristin Nuckols, Jesse Grupper, Diogo Schwerz de Lucena, Bianca Inirio, Kelley Porazinski, Diana Wagner, Tazzy Cole, Christina Glover, Sarah Mendelowitz, Maxwell Herman, Joan Breen, David Lin, Conor Walsh
{"title":"Combining soft robotics and telerehabilitation for improving motor function after stroke.","authors":"Tommaso Proietti, Kristin Nuckols, Jesse Grupper, Diogo Schwerz de Lucena, Bianca Inirio, Kelley Porazinski, Diana Wagner, Tazzy Cole, Christina Glover, Sarah Mendelowitz, Maxwell Herman, Joan Breen, David Lin, Conor Walsh","doi":"10.1017/wtc.2023.26","DOIUrl":null,"url":null,"abstract":"<p><p>Telerehabilitation and robotics, either traditional rigid or soft, have been extensively studied and used to improve hand functionality after a stroke. However, a limited number of devices combined these two technologies to such a level of maturity that was possible to use them at the patients' home, unsupervised. Here we present a novel investigation that demonstrates the feasibility of a system that integrates a soft inflatable robotic glove, a cloud-connected software interface, and a telerehabilitation therapy. Ten chronic moderate-to-severe stroke survivors independently used the system at their home for 4 weeks, following a software-led therapy and being in touch with occupational therapists. Data from the therapy, including automatic assessments by the robot, were available to the occupational therapists in real-time, thanks to the cloud-connected capability of the system. The participants used the system intensively (about five times more movements per session than the standard care) for a total of more than 8 hr of therapy on average. We were able to observe improvements in standard clinical metrics (FMA +3.9 ± 4.0, <i>p</i> < .05, COPM-P + 2.5 ± 1.3, <i>p</i> < .05, COPM-S + 2.6 ± 1.9, <i>p</i> < .05, MAL-AOU +6.6 ± 6.5, <i>p</i> < .05) and range of motion (+88%) at the end of the intervention. Despite being small, these improvements sustained at follow-up, 2 weeks after the end of the therapy. These promising results pave the way toward further investigation for the deployment of combined soft robotic/telerehabilitive systems at-home for autonomous usage for stroke rehabilitation.</p>","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":"5 ","pages":"e1"},"PeriodicalIF":3.4000,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10952055/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wearable technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/wtc.2023.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Telerehabilitation and robotics, either traditional rigid or soft, have been extensively studied and used to improve hand functionality after a stroke. However, a limited number of devices combined these two technologies to such a level of maturity that was possible to use them at the patients' home, unsupervised. Here we present a novel investigation that demonstrates the feasibility of a system that integrates a soft inflatable robotic glove, a cloud-connected software interface, and a telerehabilitation therapy. Ten chronic moderate-to-severe stroke survivors independently used the system at their home for 4 weeks, following a software-led therapy and being in touch with occupational therapists. Data from the therapy, including automatic assessments by the robot, were available to the occupational therapists in real-time, thanks to the cloud-connected capability of the system. The participants used the system intensively (about five times more movements per session than the standard care) for a total of more than 8 hr of therapy on average. We were able to observe improvements in standard clinical metrics (FMA +3.9 ± 4.0, p < .05, COPM-P + 2.5 ± 1.3, p < .05, COPM-S + 2.6 ± 1.9, p < .05, MAL-AOU +6.6 ± 6.5, p < .05) and range of motion (+88%) at the end of the intervention. Despite being small, these improvements sustained at follow-up, 2 weeks after the end of the therapy. These promising results pave the way toward further investigation for the deployment of combined soft robotic/telerehabilitive systems at-home for autonomous usage for stroke rehabilitation.
远程康复和机器人技术(无论是传统的刚性技术还是软性技术)已被广泛研究和用于改善中风后的手部功能。然而,将这两项技术结合到一起的设备数量有限,且成熟度不高,无法在患者家中无人监督的情况下使用。在这里,我们展示了一项新颖的研究,证明了将软质充气机器人手套、云连接软件界面和远程康复疗法整合在一起的系统的可行性。十名中度至重度中风的慢性病患者在家中独立使用了该系统 4 周,接受软件指导的治疗,并与职业治疗师保持联系。由于系统具有云连接功能,职业治疗师可以实时获得治疗数据,包括机器人的自动评估。参与者集中使用了该系统(每次治疗的动作是标准治疗的五倍),平均治疗时间超过 8 小时。我们能够观察到标准临床指标的改善(FMA +3.9 ± 4.0,p p p p