Friday , April 26 2024

Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm

In this paper, we have employed K-d tree algorithmic based Multiscale entropy analysis (MSE) to distinguish the alcoholic subjects from the non-alcoholic. Traditional MSE technique have been used in many applications to quantify the dynamics of physiological time series at multiple temporal scales. However, this algorithm requires O (N2) i.e. …

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