DocumentCode
1823316
Title
Increased selectivity of clinical peripheral nerve interfaces
Author
Tyler, D.J. ; Peterson, E.J. ; Brill, N. ; White, K.
Author_Institution
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
fYear
2011
fDate
April 27 2011-May 1 2011
Firstpage
257
Lastpage
260
Abstract
Selective, spiral peripheral nerve interfaces have been implemented in several clinical applications. Modeling results and intraoperative validation studies of the Flat Interface Nerve Electrode (FINE) demonstrate that with single channel, monopolar stimulation the FINE can increase the selectivity of neural stimulation. We hypothesize the stimulation selectivity can be further improved and potentially equal to intrafascicular stimulation by more sophisticated stimulation fields and interfascicular placement of electrodes with directed stimulation surfaces. We have developed an accurate linear approximation to the double cable model that is fast enough to implement non-gradient descent optimization techniques. Simulations suggest that anodal surround field shaping and directed interfascicular stimulation can increase the stimulation selectivity without placing electrodes inside the fascicles.
Keywords
approximation theory; bioelectric potentials; biomedical electrodes; neurophysiology; optimisation; physiological models; prosthetics; anodal surround field shaping; clinical peripheral nerve interfaces; double cable model; flat interface nerve electrode; interfascicular placement; intrafascicular stimulation; linear approximation; monopolar stimulation; neural stimulation; nongradient descent optimization; stimulation selectivity; Animals; Artificial neural networks; Biological system modeling; Computational modeling; Electrodes; Numerical models; Spirals;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location
Cancun
ISSN
1948-3546
Print_ISBN
978-1-4244-4140-2
Type
conf
DOI
10.1109/NER.2011.5910536
Filename
5910536
Link To Document