Automatic Detection of Intraoperative Neurological Injury

Williams, Luke V. and Eswaran, C. (1999) Automatic Detection of Intraoperative Neurological Injury. Biomedical Engineering, 46 (4). pp. 481-483. ISSN 0018-9294

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Abstract

Neurological injuries occurring during high-risk surgical procedures can be detected by monitoring intraoperative evoked potential signals. In this communication, an automatic injury detection algorithm is proposed in which the EP signal is modeled as a pole-zero filter and then the model parameters are applied as inputs to a classifier type neural network. A recognition rate of 96% is achieved using an experimental model of brain injury. Index Terms—Discrete

Item Type: Article
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 11 Sep 2013 07:16
Last Modified: 25 Oct 2013 09:55
URI: http://shdl.mmu.edu.my/id/eprint/3974

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