Nonlinear forecasting measurement of magnetoencephalogram recordings from Alzheimer's disease patients

The goal of this study was to analyze the magnetoencephalogram (MEG) background activity in patients with Alzheimer's disease (AD) using a nonlinear forecasting measure. It is a nonparametric method to quantify the predictability of time series. Five minutes of recording were acquired with a 14...

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Veröffentlicht in:	2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008-01, Vol.2008, p.2153-2156
Hauptverfasser:	Gomez, Carlos, Hornero, Roberto, Mediavilla, Angela, Fernandez, Alberto, Abasolo, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Algorithms Alzheimer Disease - physiopathology Alzheimer's disease Diagnosis, Computer-Assisted - methods Electroencephalography Female Forecasting Humans Magnetic recording Magnetoencephalography - methods Magnetometers Male Middle Aged Nonlinear Dynamics Predictive Value of Tests ROC Curve Time series analysis
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