DocumentCode
718290
Title
Effects of different configurations of multi-contact cuff electrode on recruitment characteristics of nerve stimulation
Author
Wanjun Tao ; Zhigong Wang ; Xiaoying Lu ; Yujie Gao
Author_Institution
Inst. of RF- & OE-ICs, Southeast Univ., Nanjing, China
fYear
2015
fDate
22-24 April 2015
Firstpage
498
Lastpage
501
Abstract
By quantitatively analyzing the effects of different configurations, it is possible to find the best configuration and further optimize neural prosthesis performances without changing system hardware and software. In this study, we investigated the effects of five types of electrode configurations on electromyography (EMG)-based recruitment characteristics by utilizing multi-contact electrode to stimulate toad sciatic nerves. Five characteristic parameters (maximum amplitude, threshold current, slope, 50% level, and dynamic range) are derived from fitting recruitment curves using Boltzmann equation and the latency is measured by a simple user-defined algorithm. Based on these parameters evaluation, it is found that (1) the longitudinal tripolar with lowest threshold current appears to be well suitable for application to extent battery life and potentially reduce the damage to tissues and electrodes, and (2) the transverse configurations with gentle slope and large dynamic range are fit for the muscle force fine control, but their practical application may be limited by needing a large stimulus current. Therefore, these findings can provide a useful reference for designing a novel electrode configuration to further optimizing control of neural prosthetic devices.
Keywords
Boltzmann equation; biomedical electrodes; electromyography; neuromuscular stimulation; prosthetics; Boltzmann equation; electromyography-based recruitment characteristics; multicontact cuff electrode configurations; nerve stimulation; neural prosthetic devices; toad sciatic nerve stimulation; transverse configurations; user-defined algorithm; Cathodes; Dynamic range; Electromyography; Muscles; Recruitment; Threshold current;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location
Montpellier
Type
conf
DOI
10.1109/NER.2015.7146668
Filename
7146668
Link To Document