Title :
Classification of somatosensory-evoked potentials recorded from patients with severe head injuries
Author :
Holdaway, R.M. ; White, M.W. ; Marmarou, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
The problem of sensory evoked potential (EP) assessment in the critical care setting to isolate damage in specific neuronal pathways, as manifested by certain abnormalities in the response waveform is being addressed using neural networks. An existing visually based grading scheme (GGS, for Greenberg grading system) for somatosensory EPs collected from patients with severe head injuries is being automated. The collection of data used in this research, which consist of somatosensory-evoked potential (SEP) waveforms collected from patients with head injuries is described. The way the system (called Pathfinder) works is described, and results obtained with it are presented.<>
Keywords :
bioelectric potentials; mechanoception; medical diagnostic computing; neural nets; neurophysiology; waveform analysis; Greenberg grading system; abnormalities; critical care setting; neural networks; patients; response waveform; severe head injuries; somatosensory evoked potential waveforms; specific neuronal pathways; visually based grading scheme; Biomedical imaging; Biomedical signal processing; Brain injuries; Computed tomography; Electroencephalography; Head; Magnetic resonance imaging; Pattern classification; Signal processing algorithms; Testing;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
