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Francisco J Fraga

Showing results (1-10 of 24) with videos related to

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Medical & Biological Engineering & Computing|January 10, 2023
Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiersEliana M Dos Santos, Rodrigo San-Martin, Francisco J Fraga
Computer Methods and Programs in Biomedicine|November 26, 2016
EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer'sPaulo A M Kanda, Eliezyer F Oliveira, Francisco J Fraga
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
EEG epoch selection: lack of alpha rhythm improves discrimination of Alzheimer's diseaseFrancisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda
Plos One|September 10, 2013
Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysisFrancisco J Fraga, Tiago H Falk, Paulo A M Kanda, et al.
Psychiatry Research. Neuroimaging|May 24, 2024
Diagnosis support of major depressive disorder using event-related potentials during affective priming tasksFabiana B H Umezaki, Ysabelle P Sousa, Tiago Duarte Pereira, et al.
Disease Markers|November 9, 2018
Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression AssessmentRaymundo Cassani, Mar Estarellas, Rodrigo San-Martin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's diseaseLucas R Trambaiolli, Tiago H Falk, Francisco J Fraga, et al.
Frontiers in Aging Neuroscience|April 12, 2014
The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosisRaymundo Cassani, Tiago H Falk, Francisco J Fraga, et al.
Computer Methods and Programs in Biomedicine|September 10, 2018
Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasksFrancisco J Fraga, Godofredo Quispe Mamani, Erin Johns, et al.
Clinical EEG and Neuroscience|August 30, 2011
Improving Alzheimer's disease diagnosis with machine learning techniquesLucas R Trambaiolli, Ana C Lorena, Francisco J Fraga, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Medical & Biological Engineering & Computing|January 10, 2023
Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiersEliana M Dos Santos, Rodrigo San-Martin, Francisco J Fraga
Computer Methods and Programs in Biomedicine|November 26, 2016
EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer'sPaulo A M Kanda, Eliezyer F Oliveira, Francisco J Fraga
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
EEG epoch selection: lack of alpha rhythm improves discrimination of Alzheimer's diseaseFrancisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda
Plos One|September 10, 2013
Characterizing Alzheimer's disease severity via resting-awake EEG amplitude modulation analysisFrancisco J Fraga, Tiago H Falk, Paulo A M Kanda, et al.
Psychiatry Research. Neuroimaging|May 24, 2024
Diagnosis support of major depressive disorder using event-related potentials during affective priming tasksFabiana B H Umezaki, Ysabelle P Sousa, Tiago Duarte Pereira, et al.
Disease Markers|November 9, 2018
Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression AssessmentRaymundo Cassani, Mar Estarellas, Rodrigo San-Martin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's diseaseLucas R Trambaiolli, Tiago H Falk, Francisco J Fraga, et al.
Frontiers in Aging Neuroscience|April 12, 2014
The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosisRaymundo Cassani, Tiago H Falk, Francisco J Fraga, et al.
Computer Methods and Programs in Biomedicine|September 10, 2018
Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasksFrancisco J Fraga, Godofredo Quispe Mamani, Erin Johns, et al.
Clinical EEG and Neuroscience|August 30, 2011
Improving Alzheimer's disease diagnosis with machine learning techniquesLucas R Trambaiolli, Ana C Lorena, Francisco J Fraga, et al.
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