Dr Ana Matran-Fernandez
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Email
amatra@essex.ac.uk -
Location
5B.544, Colchester Campus
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Academic support hours
My academic support hours are on Tuesdays 1-2pm (Zoom: 961 5768 2348) and Fridays 3-4pm (Zoom: 93106448682)
Profile
Qualifications
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PhD University of Essex, (2017)
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MSc Biomedical Engineering, University of Surrey, 2011
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BEng Telecommunications Engineering, University of Valladolid, 2010
Appointments
Other academic
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Artificial Intelligence Industry Fellow, University of Essex (1/4/2018 - present)
Research and professional activities
Research interests
Brain-Computer interfaces
machine learning applied to biomedical signals
Event-Related Potentials (ERPs)
Memory
Teaching and supervision
Current teaching responsibilities
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Data Science and Decision Making (CE888)
Publications
Journal articles (4)
Malesevic, N., Björkman, A., Andersson, GS., Matran-Fernandez, A., Citi, L., Cipriani, C. and Antfolk, C., (2020). A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions.. Scientific Data. 7 (1), 10-
Matran-Fernandez, A., Rodriguez Martinez, IJ., Poli, R., Cipriani, C. and Citi, L., (2019). SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements. Scientific Data. 6 (1), 186-
Matran-Fernandez, A. and Poli, R., (2017). Brain-Computer Interfaces for Detection and Localization of Targets in Aerial Images. IEEE Transactions on Biomedical Engineering. 64 (4), 959-969
Matran-Fernandez, A. and Poli, R., (2017). Towards the automated localisation of targets in rapid image-sifting by collaborative brain-computer interfaces. PLoS ONE. 12 (5), e0178498-e0178498
Book chapters (2)
Valeriani, D. and Matran-Fernandez, A., (2018). Past and Future of Multi-Mind Brain-Computer Interfaces. In: Brain-Computer Interfaces Handbook: Technological and Theoretical Advances. Editors: Nam, CS., Nijholt, A. and Lotte, F., . CRC Press. 685- 700. 9781498773430
Matran-Fernandez, A., Valeriani, D. and Poli, R., (2016). Toward BCIs Out of the Lab: Impact of Motion Artifacts on Brain-Computer Interface Performance. In: Wireless Medical Systems and Algorithms: Design and Applications. Editors: Salvo, P. and Hernandez-Silveira, M., . CRC Press. 219- 240. 1-4987-0076-4. 978-1-4987-0076-4
Conferences (8)
Garcia Vellisca, M., Matran-Fernandez, A., Poli, R. and Citi, L., (2021). Hand-movement Prediction from EMG with LSTM-Recurrent Neural Networks
Matran-Fernandez, A., Mastinu, E., Poli, R., Ortiz-Catalan, M. and Citi, L., (2018). Crosstalk Reduction in Epimysial EMG Recordings from Transhumeral Amputees with Principal Component Analysis
Matran-Fernandez, A. and Poli, R., (2015). Event-Related Potentials induced by cuts in feature movies and their exploitation for understanding cut efficacy
Valeriani, D. and Matran-Fernandez, A., (2015). Towards a wearable device for controlling a smartphone with eye winks
Matran-Fernandez, A. and Poli, R., (2014). Collaborative brain-computer interfaces for target localisation in rapid serial visual presentation
Matran-Fernandez, A., Poli, R. and Cinel, C., (2013). Collaborative brain-computer interfaces for the automatic classification of images
Stoica, A., Matran-Fernandez, A., Andreou, D., Poli, R., Cinel, C., Iwashita, Y. and Padgett, C., (2013). Multi-brain fusion and applications to intelligence analysis
Poli, R., Cinel, C., Matran-Fernandez, A., Sepulveda, F. and Stoica, A., (2013). Towards cooperative brain-computer interfaces for space navigation
Thesis dissertation (1)
Matran-Fernandez, A., (2017). Collaborative Brain-Computer Interfaces in Rapid Image Presentation and Motion Pictures
Grants and funding
2019
The development of a new CPD tracker using AI and embedded machine learning to track and enhance performance of all staff.
Innovate UK (formerly Technology Strategy Board)
AI-Assisted Decision-Making System for Cancer Pathways of the Colchester Hospital
East Suffolk and North Essex NHS Foundation Trust
2018
Develop AI methods to optimise interactions with customers.
Innovate UK (formerly Technology Strategy Board)
Contact
Academic support hours:
My academic support hours are on Tuesdays 1-2pm (Zoom: 961 5768 2348) and Fridays 3-4pm (Zoom: 93106448682)
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