Individual Muscle Control using an Exoskeleton Robot for Muscle Function Testing
- Тип контента: Научная статья
- Номер документа: 7100
- Название документа: Individual Muscle Control using an Exoskeleton Robot for Muscle Function Testing
- Номер (DOI, IBSN, Патент): Не заполнено
- Изобретатель/автор: Jun Ueda, Ding Ming, Vijaya Krishnamoorthy, Minoru Shinohara, Tsukasa Ogasawara
- Правопреемник/учебное заведение: Georgia Institute of Technology, Atlanta, Nara Institute of Science and technology, Nara, Emory University, Atlanta
- Дата публикации документа: 2010-12-31
- Страна опубликовавшая документ: США
- Язык документа: Английский
- Наименование изделия: Не заполнено
- Источник: SUBMISSION TO IEEE TNSRE: UEDA et al.: INDIVIDUAL MUSCLE CON
- Вложения: Да
- Аналитик: Глаголева Елена
Healthy individuals modulate muscle activation patterns according to their intended movement and external environment. Persons with neurological disorders (e.g., stroke and spinal cord injury), however, have problems in movement control due primarily to their inability to modulate their muscle activation pattern in an appropriate manner. A functionality test at the level of individual muscles that investigates the activity of a muscle of interest on various motor tasks may enable musclelevel force grading. To date there is no extant work that focuses on the application of exoskeleton robots to induce specific muscle activation in a systematic manner. This paper proposes a new method, named “individual muscle-force control” using a wearable robot (an exoskeleton robot, or a power-assisting device) to obtain a wider variety of muscle activity data than standard motor tasks, e.g., pushing a handle by hand. A computational algorithm systematically computes control commands to a wearable robot so that a desired muscle activation pattern for target muscle forces is induced. It also computes an adequate amount and direction of a force that a subject needs to exert against a handle by his/her hand. This individual muscle control method enables users (e.g., therapists) to efficiently conduct neuromuscu-lar function tests on target muscles by arbitrarily inducing muscle activation patterns. This paper presents a basic concept, mathematical formulation, and solution of the individual muscle-force control and its implementation to a muscle control system with an exoskeleton-type robot for upper extremity. Simulation and experimental results in healthy individuals justify the use of an exoskeleton robot for future muscle function testing in terms of the variety of muscle activity data.
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Глаголева Елена - 591
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