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СПОСОБ ИССЛЕДОВАНИЯ ЭЛЕКТРОЭНЦЕФАЛОГРАММЫ ЧЕЛОВЕКА И ЖИВОТНЫХ
专利权人:
Туровский Ярослав Александрович (RU)
发明人:
Туровский Ярослав Александрович (RU),Кургалин Сергей Дмитриевич (RU),Максимов Алексей Владимирович (RU),Семёнов Александр Германович (RU)
申请号:
RU2012154607/14
公开号:
RU2012154607A
申请日:
2012.12.14
申请国别(地区):
RU
年份:
2014
代理人:
摘要:
Method EEG studies of humans and animals, consists in the fact that the EEG is carried out to register with subsequent processing as in the real time mode and in the time delayed by continuous veyvelet conversion by the formula: the formula, a, b∈R, a> 0, where W (, b) - wavelet transform coefficient f (t) - function analyzed ψ ((tb) /) - analyzing wavelet construction based on a matrix of wavelet coefficients skeylogramm on the interval [b, b] according to the formula, i, j i, where V () - skeylogramma signal N - number of coefficients, - scale wavelet transform, characterized in that the analysis undergo chain local minima and maxima successively built skeylogramm V (), when etomopredelenii criteria chaining local minima (TSLM) and / or maxima (TSLM) skeylogramm based on the proximity criterion each other local maxima and / or minima in time and / or vicinity of local maxima and / or local minima of the frequency (the scale of the wavelet transform) and / or "energy» W (, b), when this is taken into account that to the maximum sought the nearest maximum, and a minimum-closest minimum criteria can be either constant for the entire matrix W (, b), and dynamically change their properties depending on the time and / or frequency of monitoring, following the rule of maximizing Δt / k ratio (the difference between the end and beginning of TSLM to the number of points included in it ) chains derived for the local minima and maxima are determined indicators scale wavelet transform (or the corresponding frequency) at which appeared () or interrupted () this TSLM time of occurrence of termination tp tСпособ исследования электроэнцефалограммы человека и животных, заключающийся в том, что осуществляется регистрация ЭЭГ с последующей обработкой, как в режиме реального времени, так и в режимах с временной задержкой путем непрерывного вейвелет-преобразования по формуле:формуле, a, b∈R, а>0,где W(a,b) - коэффициент вейвлетного преобразования f (t) - анализируемая функция ψ
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