Validation of Artificial Neural Network Method for Action Potential Detection and Classification Based on Velocity Selective Recording

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Networking
Format: PDF
In this paper, the authors validate and exams the improvements of the system for obtaining velocity spectral information from ElectroNeuroGram (ENG) recordings using Multi-Electrode Cuffs (MECs). The present paper adopts a fundamentally non-linear velocity classification approach based on a type of Artificial Neural Network (ANN). The new method can operate in real-time, is shown to be robust in the presence of noise and also to be relatively insensitive to the form of the action potential waveforms being classified, consequently, real time data analysis and optimization become necessary.
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