An EMG-Driven Weight Support System With Pneumatic Artificial Muscles
In this paper, we introduce our newly developed biosignal-based vertical weight support system that is composed of pneumatic artificial muscles (PAMs) and an electromyography (EMG) measurement device. By using our developed weight support system, assist force can be varied based on measured muscle a...
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Published in | IEEE systems journal Vol. 10; no. 3; pp. 1026 - 1034 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-8184 1937-9234 |
DOI | 10.1109/JSYST.2014.2330376 |
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Abstract | In this paper, we introduce our newly developed biosignal-based vertical weight support system that is composed of pneumatic artificial muscles (PAMs) and an electromyography (EMG) measurement device. By using our developed weight support system, assist force can be varied based on measured muscle activities; most existing systems can only generate constant assist forces. In this paper, we estimated knee and ankle joint torques from measured EMGs using floating base inverse dynamics. Knee and ankle joint estimated torques are converted to vertical forces by the kinematic model of a subject. The converted vertical forces are used as force inputs for the PAM actuator system. To validate our system's control performance, four healthy subjects performed a one-leg squat with his left leg while his right leg was assisted by our proposed system. We used the vertical force estimated from the measured EMG signals as a control input to the weight support system. We compared EMG magnitudes with four different experimental conditions: 1) normal two-leg squat; 2) one-leg squat without the assist system; 3) one-leg squat with EMG-based weight support; and 4) one-leg squat with constant force support. The EMG magnitude with the proposed weight support system was much closer to that with normal two-leg squat than that with one-leg squat without the assist system and than that with one-leg squat with constant force support. |
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AbstractList | In this paper, we introduce our newly developed biosignal-based vertical weight support system that is composed of pneumatic artificial muscles (PAMs) and an electromyography (EMG) measurement device. By using our developed weight support system, assist force can be varied based on measured muscle activities; most existing systems can only generate constant assist forces. In this paper, we estimated knee and ankle joint torques from measured EMGs using floating base inverse dynamics. Knee and ankle joint estimated torques are converted to vertical forces by the kinematic model of a subject. The converted vertical forces are used as force inputs for the PAM actuator system. To validate our syste's control performance, four healthy subjects performed a one-leg squat with his left leg while his right leg was assisted by our proposed system. We used the vertical force estimated from the measured EMG signals as a control input to the weight support system. We compared EMG magnitudes with four different experimental conditions: 1) normal two-leg squat; 2) one-leg squat without the assist system; 3) one-leg squat with EMG-based weight support; and 4) one-leg squat with constant force support. The EMG magnitude with the proposed weight support system was much closer to that with normal two-leg squat than that with one-leg squat without the assist system and than that with one-leg squat with constant force support. In this paper, we introduce our newly developed biosignal-based vertical weight support system that is composed of pneumatic artificial muscles (PAMs) and an electromyography (EMG) measurement device. By using our developed weight support system, assist force can be varied based on measured muscle activities; most existing systems can only generate constant assist forces. In this paper, we estimated knee and ankle joint torques from measured EMGs using floating base inverse dynamics. Knee and ankle joint estimated torques are converted to vertical forces by the kinematic model of a subject. The converted vertical forces are used as force inputs for the PAM actuator system. To validate our system's control performance, four healthy subjects performed a one-leg squat with his left leg while his right leg was assisted by our proposed system. We used the vertical force estimated from the measured EMG signals as a control input to the weight support system. We compared EMG magnitudes with four different experimental conditions: 1) normal two-leg squat; 2) one-leg squat without the assist system; 3) one-leg squat with EMG-based weight support; and 4) one-leg squat with constant force support. The EMG magnitude with the proposed weight support system was much closer to that with normal two-leg squat than that with one-leg squat without the assist system and than that with one-leg squat with constant force support. |
Author | Noda, Tomoyuki Teramae, Tatsuya Furukawa, Jun-ichiro Morimoto, Jun |
Author_xml | – sequence: 1 givenname: Jun-ichiro surname: Furukawa fullname: Furukawa, Jun-ichiro email: furukawa@atr.jp organization: Grad. Sch. of Frontier Biosci., Osaka Univ., Suita, Japan – sequence: 2 givenname: Tomoyuki surname: Noda fullname: Noda, Tomoyuki email: t_noda@atr.jp organization: Dept. of Brain Robot Interface, ATR Comput. Neurosci. Labs., Kyoto, Japan – sequence: 3 givenname: Tatsuya surname: Teramae fullname: Teramae, Tatsuya email: t-teramae@atr.jp organization: Dept. of Brain Robot Interface, ATR Comput. Neurosci. Labs., Kyoto, Japan – sequence: 4 givenname: Jun surname: Morimoto fullname: Morimoto, Jun email: xmorimo@atr.jp organization: Dept. of Brain Robot Interface, ATR Comput. Neurosci. Labs., Kyoto, Japan |
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SubjectTerms | Ankle Artificial muscles Constants Control systems Dynamical systems Dynamics Electromyography Electromyography (EMG) Force force control Force measurement Joints Knee Knees Muscles pneumatic actuators rehabilitaion robotics Support systems Torque Vertical forces weight support system |
Title | An EMG-Driven Weight Support System With Pneumatic Artificial Muscles |
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