## Abstract The purpose of this experiment was to determine the stimulating and recording characters of fascicular physioelectrical signals in the activity of peripheral nerves by longitudinally implanted intrafascicular electrodes (LIFEs) in a rabbit sciatic nerve model, and discuss the future app
Longitudinal intrafascicular electrodes in collection and analysis of sensory signals of the peripheral nerve in a feline model
โ Scribed by Li-Jun Li; Jian Zhang; Feng Zhang; William C. Lineaweaver; Tong-Yi Chen; Zhong-Wei Chen
- Book ID
- 102513648
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 120 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0738-1085
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โฆ Synopsis
The purpose of this study was to evaluate the value of utilizing longitudinal intrafascicular electrodes (LIFEs) in collecting and analyzing sensory signals from the peripheral nerve. The longitudinal intrafascicular electrodes were made of 25-microm Teflon-insulated Pt/Ir wire and implanted into the fascicle of the superficial peroneal nerves in a feline model. The sensory signals at rest status and induced with various stimulations were recorded. The action potential area, frequency, coefficient of variation (CV) of the peak, and functional spectrum were then analyzed by the MF Lab version 3.01 software package. The results showed that the sensory nerve action potentials (SNAPs) were 0-2 spikes per second at rest state; the count was increased when stimulation was administered. SNAPs were 16-24 spikes per second when scraping stimulation was applied. The pulse intervals and the waveform remained consistent. SNAPs burst and were clustered when stress stimulation was given. The comparison of area, frequency, and CV of the peak showed statistically significant differences between these parameters receiving different stimulations. The functional spectrum analysis showed that the frequency of action potential increased when the stress stimulation was applied. In conclusion, LIFEs can sensitively collect sensory signals and provide a good interface to analyze sensory information from peripheral fasciculi. These data provide useful information for further study of control of electronic prostheses.
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