A data processing method for detecting the conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD), allowing objectively quantifying the effects that this has on the patient's electroencephalogram (EEG). The method of the invention provides an objective criterion for monitoring the brain health status of MCI subjects, which goes alongside the other criteria of neurological, psychological, clinical and cognitive assessment normally provided by the evaluation protocols of these patients.

METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE

MAMMONE N;MORABITO F C
;
CAMPOLO M
Software
;
IERACITANO C
Membro del Collaboration Group
;
2019

Abstract

A data processing method for detecting the conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD), allowing objectively quantifying the effects that this has on the patient's electroencephalogram (EEG). The method of the invention provides an objective criterion for monitoring the brain health status of MCI subjects, which goes alongside the other criteria of neurological, psychological, clinical and cognitive assessment normally provided by the evaluation protocols of these patients.
Alzhemer's Disease; Deep Learning; Mild Cognitive Impairment
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/65499
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