Computer Analysis of Electroencephalogram in Clinical Veterinary Medicine.
Computer Analysis of Electroencephalogram in Clinical Veterinary Medicine.
批准号:
01480105
负责人:
MATSUMOTO Haruyasu
金额:
$4.1万
依托单位国家:
日本
项目类别:
Grant-in-Aid for General Scientific Research (B)
财政年份:
1989
资助国家:
日本
项目状态:
已结题
起止时间:
1989 至 1991
中文摘要
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英文摘要
Clinical application of electroencephaolgraphy is a well-developed discipline in veterinary medicine, and frequency analysis (spectral analysis) and topographic mapping are techniques gaining popularity in the clinical community. Both analysis were studied prospectively in 40 patients with spontaneous neurologic disease to see if those tests could help find the abnormality. 6 of 9 patients with epilepsy showed the abnormal spectral patterns compared with normal spectrum. Power spectral analysis made a majority of slow wave to be quantitative in four dogs with hydrocephalus. Desynchronization was recognized as increase of power in bipolar leads. In neurologic patients, significant increase in total power were showed by frequency analysis. Topographic mapping tests suggest diffusal high density distribution from animals with epilepsy, hydrocephalus, seizure, visual dysfunction, and ananastasia. Localizations or asymmetries of slow frequency components were identified were recognized in patients with epilepsy, mastadenoma, seizure, and head tilt. In 15 cases of 17 animals with neurologic disorders, topographic distributions were judged as abnormal patterns. Overall, it was thought that electroencephalography quantitazation by spectral analysis might be possible and visualization by topographic analysis could accurately predict the laterality or localization in low frequency components. So, frequency analysis and topographic mapping were useful technique to evaluate electroencephalography in clinical veterinary medicine, because those analysis made the estimation of electroencephalography easy. Hereafter, valuability of those tests was rised in combination with the other anatomical examinations, though considerable care needs to be taken to identify artifacts and normal electroencephalography variants when interpreting these tests.
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