Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification

Volume: 27, Issue: 11, Pages: 2254 - 2262
Published: Nov 1, 2019
Abstract
Studies using time-frequency analysis have reported that somatosensory evoked potentials provide information regarding the location of spinal cord injury. However, a better understanding of the time-frequency components derived from somatosensory evoked potentials is essential for developing more reliable algorithms that can diagnosis level (location) of cervical injury. In the present study, we proposed a random forests machine learning...
Paper Details
Title
Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification
Published Date
Nov 1, 2019
Volume
27
Issue
11
Pages
2254 - 2262
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