Archive for Сентябрь 18th, 2006
Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment
- Тип контента: Научная статья
- Номер документа: 1262
- Название документа: Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment
- Номер (DOI, IBSN, Патент): 10.1109/TNSRE.2006.881553
- Изобретатель/автор: Smith, R., Shah, P., Sanchez, R.J., Reinkensmeyer, D.J., Rao, S., Rahman, T., Jiayin Liu, Cramer, S.C., Bobrow, J.E.
- Правопреемник/учебное заведение: Dept. of Mech. & Aerosp. Eng., California Univ., Irvine, CA
- Дата публикации документа: 2006-09-18
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&a
- Вложения: Да
- Аналитик: Дмитрий Соловьев
An important goal in rehabilitation engineering is to develop technology that allows individuals with severe motor impairment to practice arm movement without continuous supervision from a rehabilitation therapist. This paper describes the development of such a system, called Therapy WREX or («T-WREX»). The system consists of an orthosis that assists in arm movement across a large workspace, a grip sensor that detects hand grip pressure, and software that simulates functional activities. The arm orthosis is an instrumented, adult-sized version of the Wilmington Robotic Exoskeleton (WREX), which is a five degrees-of-freedom mechanism that passively counterbalances the weight of the arm using elastic bands. After providing a detailed design description of T-WREX, this paper describes two pilot studies of the system’s capabilities. The first study demonstrated that individuals with chronic stroke whose arm function is compromised in a normal gravity environment can perform reaching and drawing movements while using T-WREX. The second study demonstrated that exercising the affected arm of five people with chronic stroke with T-WREX over an eight week period improved unassisted movement ability (mean change in Fugl-Meyer score was 5 points plusmn2 SD; mean change in range of motion of reaching was 10%, p<0.001). These results demonstrate the feasibility of automating upper-extremity rehabilitation therapy for people with severe stroke using passive gravity assistance, a grip sensor, and simple virtual reality software.
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