Myoelectric control of prosthetic hands: state-of-the-art review

被引:228
作者
Geethanjali, Purushothaman [1 ]
机构
[1] VIT Univ, Dept Control & Automat, Sch Elect Engn, Katpadi Thiruvalam Rd, Vellore 632014, Tamil Nadu, India
关键词
EMG; assistive device; amputee; myoelectric control; electric powered; body powered; bioelectric signal control;
D O I
10.2147/MDER.S91102
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Myoelectric signals (MES) have been used in various applications, in particular, for identification of user intention to potentially control assistive devices for amputees, orthotic devices, and exoskeleton in order to augment capability of the user. MES are also used to estimate force and, hence, torque to actuate the assistive device. The application of MES is not limited to assistive devices, and they also find potential applications in teleoperation of robots, haptic devices, virtual reality, and so on. The myoelectric control-based prosthetic hand aids to restore activities of daily living of amputees in order to improve the self-esteem of the user. All myoelectric control-based prosthetic hands may not have similar operations and exhibit variation in sensing input, deciphering the signals, and actuating prosthetic hand. Researchers are focusing on improving the functionality of prosthetic hand in order to suit the user requirement with the different operating features. The myoelectric control differs in operation to accommodate various external factors. This article reviews the state of the art of myoelectric prosthetic hand, giving description of each control strategy.
引用
收藏
页码:247 / 255
页数:9
相关论文
共 106 条
[1]  
Ahmad SA, 2007, P INT C INT ADV SYST
[2]   A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control [J].
Ajiboye, AB ;
Weir, RF .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2005, 13 (03) :280-291
[3]   The Use of a Bone-Anchored Device as a Hard-Wired Conduit for Transmitting EMG Signals From Implanted Muscle Electrodes [J].
Al-Ajam, Y. ;
Lancashire, H. ;
Pendegrass, C. ;
Kang, N. ;
Dowling, R. P. ;
Taylor, S. J. G. ;
Blunn, G. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (06) :1654-1659
[4]  
Almstrom C, 1977, TECH REP, V1, P77
[5]  
Arjunan SP, 2007, P 29 ANN INT C IEEE
[6]  
Arvetti M., 2007, P IEEE 10 INT C REH
[7]  
Barrero V., 2001, P 23 ANN INT C IEEE
[8]  
BOTTOMLEY A, 1963, J BRIT IRE, V26, P439
[9]  
Chan A.D., 2007, CMBES P 30
[10]   Continuous myoelectric control for powered prostheses using hidden Markov models [J].
Chan, ADC ;
Englehart, KB .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2005, 52 (01) :121-124