Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke.
Development of a Low-Cost, Modular Muscle-Computer Interface for At-Home Telerehabilitation for Chronic Stroke.
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DOI：
10.3390/s21051806
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发表时间：
2021-03-05
期刊：
影响因子：
--
通讯作者：
Liew SL
中科院分区：
文献类型：
--
作者：
Marin-Pardo O;Phanord C;Donnelly MR;Laine CM;Liew SL
中风是美国长期残疾的主要原因。最近的研究表明，高剂量的重复特定任务练习可以有效地改善慢性阶段的上肢功能。在治疗师的监督下提供家庭远程康复服务可能会允许针对这一人群的更高剂量的干预措施。此外，肌肉生物反馈训练患者，以避免不必要的同时激活拮抗肌（共收缩），可纳入远程康复技术，以改善运动控制。在这里，我们提出了一种低成本，便携式，远程康复生物反馈系统的发展和可行性，称为远程再生。我们描述了我们的模块化肌电图采集，处理和反馈算法，以训练分化的肌肉控制在家庭治疗师指导的会议。此外，我们还评估了低成本传感器在两个健康个体的训练任务中的性能。最后，我们提出了一个案例研究的结果与中风幸存者谁使用该系统的40个会议超过10周的培训。与我们以前的研究一致，我们的研究结果表明，使用低成本传感器提供了类似的结果，使用研究级传感器在等距任务期间的低力。我们的初步病例研究数据与一个中风患者也表明，我们的系统是可行的，安全的，愉快的使用在10周的生物反馈训练，并改善分化的肌肉活动在意志运动尝试可能会在10周的时间内诱导。我们的数据为使用低成本技术进行个性化肌肉训练提供了支持，以减少临床人群在监督和无监督的家庭远程康复期间的意外共激活，并表明这种方法是安全可行的。未来的工作与更大的研究人群可能会扩大有意义的和个性化的慢性脑卒中康复的发展。
Stroke is a leading cause of long-term disability in the United States. Recent studies have shown that high doses of repeated task-specific practice can be effective at improving upper-limb function at the chronic stage. Providing at-home telerehabilitation services with therapist supervision may allow higher dose interventions targeted to this population. Additionally, muscle biofeedback to train patients to avoid unwanted simultaneous activation of antagonist muscles (co-contractions) may be incorporated into telerehabilitation technologies to improve motor control. Here, we present the development and feasibility of a low-cost, portable, telerehabilitation biofeedback system called Tele-REINVENT. We describe our modular electromyography acquisition, processing, and feedback algorithms to train differentiated muscle control during at-home therapist-guided sessions. Additionally, we evaluated the performance of low-cost sensors for our training task with two healthy individuals. Finally, we present the results of a case study with a stroke survivor who used the system for 40 sessions over 10 weeks of training. In line with our previous research, our results suggest that using low-cost sensors provides similar results to those using research-grade sensors for low forces during an isometric task. Our preliminary case study data with one patient with stroke also suggest that our system is feasible, safe, and enjoyable to use during 10 weeks of biofeedback training, and that improvements in differentiated muscle activity during volitional movement attempt may be induced during a 10-week period. Our data provide support for using low-cost technology for individuated muscle training to reduce unintended coactivation during supervised and unsupervised home-based telerehabilitation for clinical populations, and suggest this approach is safe and feasible. Future work with larger study populations may expand on the development of meaningful and personalized chronic stroke rehabilitation.
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影响因子：
4
作者：
Luo, Jie;Sun, Wenbo;Song, Rong
通讯作者：
Song, Rong
影响因子：
4.3
作者：
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影响因子：
2.5
作者：
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通讯作者：
Brown, SHM
DOI：
10.1016/j.jstrokecerebrovasdis.2010.06.006
发表时间：
2012-04-01
影响因子：
2.5
作者：
Dogan-Aslan, Meryem;Nakipoglu-Yuzer, Guldal Funda;Ozgirgin, Nese
通讯作者：
Ozgirgin, Nese
影响因子：
4.2
作者：
Mugler, Emily M.;Tomic, Goran;Slutzky, Marc W.
通讯作者：
Slutzky, Marc W.