Early recognition of Alzheimer’s disease in EEG using recurrent neural network and wavelet transform

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4119, Issue 1, 2000, Pages 870-877

  Petrosian, Arthur ^a   Prokhorov, Danil ^b   Schiffer, Randolph ^a  

^a TEXAS TECH UNIVERSITY HEALTH SCIENCES CENTER   (United States)

^b FORD RESEARCH LABORATORY   (United States)

Author keywords

Alzheimer s disease; EEG; Recurrent neural networks; Wavelets

Indexed keywords

ALGORITHMS; DIAGNOSIS; DISEASES; ELECTROENCEPHALOGRAPHY; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; KALMAN FILTERING; LEARNING SYSTEMS; RECURRENT NEURAL NETWORKS;

ALZHEIMER DISEASE; EYES CLOSED RESTING CONDITION; WAVELET PREPROCESSING;

WAVELET TRANSFORMS;

EID: 0034430385     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.408570     Document Type: Article

References (0)