Detection of brain injury based on adaptive latency analysis of evoked potentials

Author

Kong, Xuan ; Thakor, Nitish

Author_Institution

Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA

fYear

1994

fDate

3-6 Nov 1994

Firstpage

197

Abstract

Injury to brain may result in transient or time varying changes in evoked potential (EP) signals. Here, the authors test the hypothesis that injury causes changes in the latency of the EP signal. Therefore, one can use latency changes as an indicator for detecting possible brain injury. The authors present an adaptive time delay estimation algorithm to estimate the latency changes in EP signals. The adaptive algorithm is used to analyze experimental data from cats made hypoxic by inhalation of 9% O₂. The analysis reveals that latency changes significantly when injury occurs

Keywords

bioelectric potentials; electroencephalography; medical signal processing; 9% O₂ inhalation; O₂; adaptive latency analysis; adaptive time delay estimation algorithm; brain injury detection; cat experimental data; hypoxic cat; Adaptive algorithm; Algorithm design and analysis; Biomedical engineering; Brain injuries; Cats; Data analysis; Delay effects; Delay estimation; Neural pathways; Signal analysis; Testing; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.411815

Filename

411815