COMPARATIVE ANALYSIS OF SPIKING NEURAL NETWORK AND ARTIFICIAL NEURAL NETWORK MODELS IN PREDICTING FINGERTIP KINEMATICS USING INTRACRANIAL BRAIN SIGNALS
According to the World Health Organization (WHO), each year, 250,000 to 500,000 people worldwide experience spinal cord injury (SCI). Among them, more than half suffer from tetraplegia, a condition in which patients lose the ability to move all four limbs, including arms and legs. Without adequat...
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Main Author: | Morenzo Muten, Eraraya |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/86167 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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