Title :
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
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;
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
DOI :
10.1109/IEMBS.1994.411815
