Design of motor function restoration system based on myoelectric signals recognition

Author

Huang, Zonghao ; Wang, Zhigong ; Lv, XiaoYing ; Zhou, Yu-Xuan ; Zhao, Xintai ; Yang, Jingdong

Author_Institution

Inst. of RF- & OE-ICs, Southeast Univ., Nanjing, China

fYear

2011

fDate

3-5 Nov. 2011

Firstpage

139

Lastpage

142

Abstract

In this paper, a system aiming at motor function restoration based on myoelectric signals recognition has been presented. This system contains four main components: analog front, AD converter, digital signal processor, and functional electrical stimulator. Functions and designing consideration of each component, and a myoelectric signals recognition algorithm with low computational complexity have been introduced. Finally, the testing results of the system will be presented and the qualified performance for the further animal experiment is demonstrated.

Keywords

analogue-digital conversion; digital signal processing chips; electromyography; medical signal detection; medical signal processing; neuromuscular stimulation; patient rehabilitation; signal classification; AD converter; analog front; digital signal processor; functional electrical stimulator; motor function restoration system design; myoelectric signal recognition algorithm; Educational institutions; Electrodes; Electromyography; Muscles; Noise; Spinal cord; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioelectronics and Bioinformatics (ISBB), 2011 International Symposium on

Conference_Location

Suzhou

Print_ISBN

978-1-4577-0076-7

Type

conf

DOI

10.1109/ISBB.2011.6107665

Filename

6107665