TY  - CONF
ID  - scholars3126
TI  - Surface electromyogram (sEMG) detection and analysis in the development of an exoskeleton control system
SP  - 197
KW  - Control systems; Electromyography; Electronic medical equipment; Muscle; Robots
KW  -  Absolute values; Assistive technology; exoskeleton; Muscle contractions; Robot movements; Root Mean Square; Stroke patients; Surface electromyogram
KW  -  Robotics
N2  - Numerous research have been carried out to develop robotic assistive technology for rehabilitation of stroke patients. The conventional robotic assistive technology was based on pre-programmed functions by the robot personnel. This makes it difficult for stroke patients to use it effectively due to unsuitable torque and movements set by the robot. Electromyography (EMG) signal measures the muscle contraction. The EMG-based robotic assistive technology would enable the stroke patients to control the robot movement according to their own strength. In this paper, surface EMG signal detection and analysis using the root mean square (RMS) and mean absolute value (MAV) for bicep and triceps muscles are discussed in detail. This information is vital in the development of a robotics assistive control system. © 2012 Institute of Engineers.
N1  - cited By 5; Conference of 2nd Australian Control Conference, AUCC 2012 ; Conference Date: 15 November 2012 Through 16 November 2012; Conference Code:100369
AV  - none
CY  - Sydney, NSW
EP  - 202
A1  - Elamvazuthi, I.
A1  - Ku Nurhanim, K.A.R.
A1  - Vasant, P.
A1  - Parasuraman, S.
A1  - Zulika, Z.
A1  - Ling, G.A.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886706228&partnerID=40&md5=2db6cfc54bbb802b3515d29a3749277a
PB  - IEEE Computer Society
SN  - 9781922107633
Y1  - 2012///
ER  -