Francisco José Fraga da Silva
CV Lattes
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Ministério da Educação (Brasil). Universidade Federal do ABC (UFABC). Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS) (Institutional affiliation for the last research proposal) Birthplace: Brazil
holds a degree in Electrical Engineering from Polytechnic School of the University of São Paulo (POLI-USP), MSc in Electrical Engineering from the same school (POLI-USP) and Ph.D. in Computer Engineering from Instituto Tecnológico de Aeronáutica (ITA). He is currently Associate Professor at the Federal University of ABC. Have experience in Information Engineering with emphasis on Pattern Recognition and Digital Signal Processing, acting on the following topics: machine learning, biosignal processing, multimedia processing. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| An international research group is developing computer system for early detection of Alzheimers |
- Electroencephalography-based brain connectivity analysis for Alzheimer's Disease and diffuse axonal lesion diagnosis, AP.R
Abstract
The main cause of acquired brain injury (ABI), according to the literature, is traumatic brain injury (TBI). TBI is non-degenerative and non-congenital damage caused by external mechanical force. A permanent or temporary impairment of cognitive, physical and psychosocial functions is expected, with a decrease or alteration of the state of consciousness. The most frequent causes of TBI a...
- Computational EEG analysis for early Alzheimer's Disease diagnosis, AP.R
Abstract
While the overall growth in life expectancy is extremely positive, the aging population has been followed around the world, for it also leads to some disturbing consequences, such as the increasing prevalence of neurodegenerative diseases. Among those, by far the one with highest incidence is Alzheimer's Disease (AD), which early detection is a pressing need, since it allows to start a ...
- EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's Disease, PUB.ART
Abstract
Recent experimental evidence has suggested a neuromodulatory deficit in Alzheimer's disease (AD). In this paper, we present a new electroencephalogram (EEG) based metric to quantitatively characterize neuromodulatory activity. More specifically, the short-term EEG amplitude modulation rate-of-change (i.e., modulation frequency) is computed for five EEG subband signals. To test the perfo...
- Brain-connectivity-based EEG biomarkers for Alzheimer's Disease automated diagnosis, BE.PQ
Abstract
Alzheimer's disease (AD), characterized by the presence of neurofibrillary tangles and senile plaques in the brain, is a dementia affecting great part of the elderly population, with an incidence that has increased significantly in the last decades. Thus, early detection of AD becomes a public health issue, as it allows starting treatment able to significantly delay the disease progress...
- Towards low-cost portable diagnostic systems for Alzheimer's Disease, BE.PQ
Abstract
According to the United Nations, the world elderly population is growing at its fastest rate ever. It is expected that by 2050, more than 2 billion people will be aged over 60, with 70% of them living in low or middle-income countries. For many individuals, ageing causes cognitive decline and limited functional capacity, thus placing a burden on the healthcare system. A clear example of...
| 3 / 3 | Completed research grants |
| 1 / 1 | Ongoing scholarships abroad |
| 1 / 1 | Completed scholarships abroad |
| 5 / 5 | All research grants and scholarships |
| Associated processes | |
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
| Publications | 5 |
| Citations | 17 |
| Cit./Article | 3.4 |
| Data from Web of Science | |
CASSANI, RAYMUNDO; ESTARELLAS, MAR; SAN-MARTIN, RODRIGO; FRAGA, FRANCISCO J.; FALK, TIAGO H.. Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment. DISEASE MARKERS, 2018. Web of Science Citations: 3. (17/15243-7)
PEDROSO, RENATA VALLE; CANCELA, JOSE MARIA; AYAN, CARLOS; STEIN, ANGELICA MIKI; FUZARO, GILSON; COSTA, JOSE LUIZ RIANI; FRAGA, FRANCISCO J.; SANTOS-GALDUROZ, RUTH FERREIRA. Effects of Physical Exercise on the P300 of Elderly With Alzheimer's Disease. JOURNAL OF PHYSICAL ACTIVITY & HEALTH, v. 15, n. 6, p. 403-410, JUN 2018. Web of Science Citations: 2. (15/09510-7)
KANDA, PAULO A. M.; OLIVEIRA, ELIEZYER F.; FRAGA, FRANCISCO J.. EEG epochs with less alpha rhythm improve discrimination of mild Alzheimer's. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 138, p. 13-22, JAN 2017. Web of Science Citations: 4. (15/09510-7)
FRAGA, FRANCISCO J.; MAMANI, GODOFREDO QUISPE; JOHNS, ERIN; TAVARES, GUILHERME; FALK, TIAGO H.; PHILLIPS, NATALIE A.. Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasks. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 164, p. 1-13, OCT 2018. Web of Science Citations: 4. (15/09510-7, 17/15243-7)
CASSANI, RAYMUNDO; FALK, TIAGO H.; FRAGA, FRANCISCO J.; CECCHI, MARCO; MOORE, DENNIS K.; ANGHINAH, RENATO. Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices. Biomedical Signal Processing and Control, v. 33, p. 261-271, MAR 2017. Web of Science Citations: 4. (15/09510-7)