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Front. Inform. Technol. Electron. Eng.  2018, Vol. 19 Issue (11): 1303-1315    
    
Artificial muscles for wearable assistance and rehabilitation
Tian-yun DONG, Xiang-liang ZHANG, Tao LIU
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Yunnan Key Laboratory of Computer, Kunming University of Science and Technology, Kunming 650500, China
Artificial muscles for wearable assistance and rehabilitation
Tian-yun DONG, Xiang-liang ZHANG, Tao LIU
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
Yunnan Key Laboratory of Computer, Kunming University of Science and Technology, Kunming 650500, China
 全文: PDF 
摘要： Traditional exoskeletons have made considerable contributions to people in terms of providing wearable assistance and
rehabilitation. However, exoskeletons still have some disadvantages, such as being heavy, bulky, stiff, noisy, and having a fixed
center of rotation that can be a burden on elders and patients with weakened muscles. Conversely, artificial muscles based on soft,
smart materials possess the attributes of being lightweight, compact, highly flexible, and have mute actuation, for which they are
considered to be the most similar to natural muscles. Among these materials, dielectric elastomer (DE) and polyvinyl chloride
(PVC) gel exhibit considerable actuation strain, high actuation stress, high response speed, and long life span, which give them
great potential for application in wearable assistance and rehabilitation. Unfortunately, there is very little research on the appli-
cation of these two materials in these fields. In this review, we first introduce the working principles of the DE and PVC gel
separately. Next, we summarize the DE materials and the preparation of PVC gel. Then, we review the electrodes and self-sensing
systems  of  the  two  materials.  Lastly,  we  present  the  initial  applications  of  these  two  materials  for  wearable  assistance  and 
rehabilitation.
关键词： Artificial ;  muscle;  Smart material;  Dielectric elastomers (DE);  Polyvinyl chloride (PVC) gel;  Actuator;  Wearable
assistance;  Rehabilitation    
Abstract: Traditional exoskeletons have made considerable contributions to people in terms of providing wearable assistance and
rehabilitation. However, exoskeletons still have some disadvantages, such as being heavy, bulky, stiff, noisy, and having a fixed
center of rotation that can be a burden on elders and patients with weakened muscles. Conversely, artificial muscles based on soft,
smart materials possess the attributes of being lightweight, compact, highly flexible, and have mute actuation, for which they are
considered to be the most similar to natural muscles. Among these materials, dielectric elastomer (DE) and polyvinyl chloride
(PVC) gel exhibit considerable actuation strain, high actuation stress, high response speed, and long life span, which give them
great potential for application in wearable assistance and rehabilitation. Unfortunately, there is very little research on the appli-
cation of these two materials in these fields. In this review, we first introduce the working principles of the DE and PVC gel
separately. Next, we summarize the DE materials and the preparation of PVC gel. Then, we review the electrodes and self-sensing
systems  of  the  two  materials.  Lastly,  we  present  the  initial  applications  of  these  two  materials  for  wearable  assistance  and 
rehabilitation.
Key words: Artificial     muscle    Smart material    Dielectric elastomers (DE)    Polyvinyl chloride (PVC) gel    Actuator    Wearable
assistance    Rehabilitation
收稿日期: 2018-10-06 出版日期: 2019-06-13
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引用本文:

Tian-yun DONG, Xiang-liang ZHANG, Tao LIU. Artificial muscles for wearable assistance and rehabilitation. Front. Inform. Technol. Electron. Eng., 2018, 19(11): 1303-1315.

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http://www.zjujournals.com/xueshu/fitee/CN/    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2018/V19/I11/1303

[1] Lei WANG, Miao-liang ZHU, Li-ping DENG, Xin YUAN. Automatic pectoral muscle boundary detection in mammograms based on Markov chain and active contour model[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(2): 111-118.