Francisco J. Fraga
Francisco J. Fraga
Full Professor at Federal University of the ABC - UFABC
E-mail megerősítve itt: ufabc.edu.br - Kezdőlap
Hivatkozott rá
Hivatkozott rá
Systematic review on resting-state EEG for Alzheimer's disease diagnosis and progression assessment
R Cassani, M Estarellas, R San-Martin, FJ Fraga, TH Falk
Disease markers 2018, 2018
Improving Alzheimer's disease diagnosis with machine learning techniques
LR Trambaiolli, AC Lorena, FJ Fraga, PAM Kanda, R Anghinah, R Nitrini
Clinical EEG and neuroscience 42 (3), 160-165, 2011
Early diagnosis of Alzheimer’s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
PM Rossini, R Di Iorio, F Vecchio, M Anfossi, C Babiloni, M Bozzali, ...
Clinical Neurophysiology 131 (6), 1287-1310, 2020
Characterizing Alzheimer’s disease severity via resting-awake EEG amplitude modulation analysis
FJ Fraga, TH Falk, PAM Kanda, R Anghinah
PloS one 8 (8), e72240, 2013
P300 latency and amplitude in Alzheimer's disease: a systematic review
RV Pedroso, FJ Fraga, DI Corazza, CAA Andreatto, FG de Melo Coelho, ...
Brazilian journal of otorhinolaryngology 78 (4), 126-132, 2012
The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis
R Cassani, TH Falk, FJ Fraga, PAM Kanda, R Anghinah
Frontiers in aging neuroscience 6, 55, 2014
EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease
TH Falk, FJ Fraga, L Trambaiolli, R Anghinah
EURASIP Journal on Advances in Signal Processing, 192, 2012
Towards automated electroencephalography-based Alzheimer’s disease diagnosis using portable low-density devices
R Cassani, TH Falk, FJ Fraga, M Cecchi, DK Moore, R Anghinah
Biomedical Signal Processing and Control 33, 261-271, 2017
Early diagnosis of mild cognitive impairment and Alzheimer’s with event-related potentials and event-related desynchronization in N-back working memory tasks
FJ Fraga, GQ Mamani, E Johns, G Tavares, TH Falk, NA Phillips
Computer methods and programs in biomedicine 164, 1-13, 2018
On the use of the P300 as a tool for cognitive processing assessment in healthy aging: A review
SCI Pavarini, AG Brigola, BM Luchesi, ÉN Souza, ES Rossetti, FJ Fraga, ...
Dementia & neuropsychologia 12, 1-11, 2018
EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's disease
LR Trambaiolli, TH Falk, FJ Fraga, R Anghinah, AC Lorena
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
Meta-analysis of sensorimotor gating deficits in patients with schizophrenia evaluated by prepulse inhibition test
R San-Martin, LA Castro, PR Menezes, FJ Fraga, PW Simões, C Salum
Schizophrenia Bulletin 46 (6), 1482-1497, 2020
Resting-state posterior alpha rhythms are abnormal in subjective memory complaint seniors with preclinical Alzheimer's neuropathology and high education level: the INSIGHT …
C Babiloni, S Lopez, C Del Percio, G Noce, MT Pascarelli, R Lizio, ...
Neurobiology of Aging 90, 43-59, 2020
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features
FJ Fraga, TH Falk, LR Trambaiolli, EF Oliveira, WHL Pinaya, PAM Kanda, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer's
PAM Kanda, EF Oliveira, FJ Fraga
computer methods and programs in biomedicine 138, 13-22, 2017
Clinician’s road map to wavelet EEG as an Alzheimer’s disease biomarker
PAM Kanda, LR Trambaiolli, AC Lorena, FJ Fraga, LFI Basile, R Nitrini, ...
Clinical EEG and neuroscience 45 (2), 104-112, 2014
Effects of physical activity on the P 300 component in elderly people: a systematic review
RV Pedroso, FJ Fraga, C Ayán, JM Cancela Carral, L Scarpari, ...
Psychogeriatrics 17 (6), 479-487, 2017
Does EEG montage influence Alzheimer's disease electroclinic diagnosis?
LR Trambaiolli, AC Lorena, FJ Fraga, P Kanda, R Nitrini, R Anghinah
International Journal of Alzheimer’s Disease 2011, 2011
An experience of automated assessment in a large‐scale introduction programming course
FA Zampirolli, JM Borovina Josko, MLF Venero, G Kobayashi, F Fraga, ...
Computer Applications in Engineering Education, 2021
Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification
EM dos Santos, R Cassani, TH Falk, FJ Fraga
Biomedical Signal Processing and Control 57, 101812, 2020
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Cikkek 1–20