Myoelectric Interfaces and Related Applications: Current State of EMG Signal Processing&x2013;A Systematic Review

被引:80
作者
Rodriguez-Tapia, Bernabe [1 ,2 ]
Soto, Israel [2 ]
Marinez, Daniela M. [1 ]
Candolfi Arballo, Norma [1 ]
机构
[1] Univ Autonoma Baja California, Fac Ciencias Ingn & Tecnol, Tijuana 21500, Mexico
[2] Univ Autonoma Ciudad Juarez, Inst Ingn & Tecnol, Ciudad Juarez 32310, Chihuahua, Mexico
关键词
Emg acquisition system; emg processing; electromyography sensors; myoelectric control; myoelectric signals; SURFACE ELECTROMYOGRAPHY; CLASSIFICATION; RECOGNITION; DESIGN; HAND; REDUCTION; ARTIFACT; SENSORS; FINGER;
D O I
10.1109/ACCESS.2019.2963881
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The myoelectric interfaces are being used in rehabilitation technology, assistance and as an input device. This review focuses on an insightful analysis of the data acquisition system of EMG signals from these interfaces. According to applications reported in research articles of the last five years, the properties of the sensors, the number of channels, the pre-processing of the EMG signal, as well as the software and hardware used were identified. This analysis was performed for the following applications: monitoring of muscular activation for rehabilitation, muscle activation plans, and identification of possible pathologies, exoskeletons, electric of wheelchairs, prosthetics control, myoelectric bracelets, handwriting recognition and silent speech recognition. The results presented in this review become a guide of recommendations for the myoelectric signal processing according to the application of the interface. The main developments, degrees of research and open challenges are also presented in this direction.
引用
收藏
页码:7792 / 7805
页数:14
相关论文
共 73 条
[1]   Evaluating Sign Language Recognition Using the Myo Armband [J].
Abreu, Joao Gabriel ;
Teixeira, Joao Marcelo ;
Figueiredo, Lucas Silva ;
Teichrieb, Veronica .
2016 18TH SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2016), 2016, :64-70
[2]  
[Anonymous], 2008, INT C FRONTIERS HAND
[3]  
[Anonymous], PRACTICAL INTRO KINE
[4]  
[Anonymous], P IEEE INT C VIRT EN
[5]  
[Anonymous], DESIGNERS GUIDE INST
[6]  
[Anonymous], 2014, PRESENTED CORROSION
[7]  
Artemiadis P., 2012, Advances in Robotics & Automation, V1, P1, DOI [DOI 10.4172/2168-9695.1000E107, 10.4172/2168-9695.1000e107]
[8]   Biosignal monitoring using wearables: Observations and opportunities [J].
Athavale, Yashodhan ;
Krishnan, Sridhar .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2017, 38 :22-33
[9]   Effective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing [J].
Balouchestani, Mohammadreza ;
Krishnan, Sridhar .
SENSORS, 2014, 14 (12) :24305-24328
[10]  
Barioul R, 2016, INT MULTICONF SYST, P274, DOI 10.1109/SSD.2016.7473767