Automatic detection of intraoperative neurological injury

被引：0
作者：
Williams, LV
Eswaran, C [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Madras 600036, Tamil Nadu, India
[2] Univ Telekom, Fac Engn, Melaka 75450, Malaysia
来源：
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 1999年 / 46卷 / 04期
关键词：
discrete cosine transform (DCT); evoked potential (EP); neural network; neurological injury; pole-zero model;
D O I：
10.1109/10.752945
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：481 / 483
页数：3
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