DocumentCode :
663230
Title :
Identification of spectral landmarks on the single fiber action potential waveform for unit tracking
Author :
Shaoyu Qiao ; Yoshida, Kenta
Author_Institution :
Weldon Sch. of Biomed. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2013
fDate :
6-8 Nov. 2013
Firstpage :
1469
Lastpage :
1472
Abstract :
Highly selective indwelling neuroprosthetic interfaces are able to detect minute electrical signals from the nerve fibers in its vicinity as single fiber action potential (SFAP) waveforms. In the peripheral nervous system, each SFAP has a unique shape resulting from each fiber´s unique microelectrical interaction between itself, it´s mileau and the recording electrode. Two specific factors, the nerve fiber´s position relative to electrode and its conduction velocity, greatly influence the SFAP shape. Thus, we hypothesize that these two factors embedded in the SFAP could be ultimately extracted and used as a means to non-destructively assess the health of each nerve-electrode couple in chronically implanted neural interfaces. Here, we present a method for estimation of these two factors through quantitative spectral analysis of the SFAP shape in intrafascicular recordings from the rabbit sciatic nerve.
Keywords :
bioelectric potentials; biomedical measurement; medical signal detection; neurophysiology; prosthetics; spectral analysis; wavelet transforms; SFAP shape; chronically implanted neural interfaces; conduction velocity; fiber microelectrical interaction; highly selective indwelling neuroprosthetic interfaces; intrafascicular recordings; minute electrical signal detection; nerve fiber position; nerve-electrode coupling; nondestructive assessment; peripheral nervous system; quantitative spectral analysis; rabbit sciatic nerve; recording electrode; single fiber action potential waveforms; spectral landmark identification; unit tracking; Educational institutions; Electric potential; Electrodes; Estimation; Extracellular; Muscles; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
ISSN :
1948-3546
Type :
conf
DOI :
10.1109/NER.2013.6696222
Filename :
6696222
Link To Document :
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