Dr. Teodiano Freire Bastos-Filho of Universidade Federal do Espirito Santo (UFES, Brazil)

In this lecture Dr. Teodiano will talk about some of Research developed at UFES/Brazil:

• Devices for Blind People, Amputees, People with Severe Disability
• Control of Appliances Through sEMG and EOG, Rehabilitation Through Serious Games
• Use of Internet of Things (IoT) for Human Activity Recognition (HAR) Based on Convolutional Neural Network (CNN)
• Robots for Interaction with Children with ASD and Down Syndrome
• Respiratory Rate Estimation Through Deep Learning Applied to Photoplethysmogram
• COVID Detection Through Recurrent Neural Networks (RNN) and Deep Learning (DL)
• Several Applications with Brain-Computer Interfaces (BCIs) Based on Electroencephalography (EEG)
  • USING ERD/ERS PATTERNS IN α RHYTHM (DEPENDENT BCI)
    • Command of Robotic Wheelchair Through BCI Using ERD/ERS Patterns in α Rhythms
    • Command of Augmentative and Alternative Communication (AAC) System Through BCI
    • Command of Home Appliances Through BCI
    • Detection of Emotional Conditions of Children with Autism Spectrum Disorder (ASD) Using Energy of α Rhythms
    • Detection of Sense of Presence Using Energy of α Rhythms
  • BCI USING SSVEP (Steady State Evoked Visual Potentials) (DEPENDENT BCI)
    • Command of Robotic Wheelchair Through BCI
    • Command of Telepresence Robot Through BCI
    • Command of Autonomous Car Through BCI
    • Detection of SSVEP Under the Hairline
  • BCI USING SSVEP (Steady State Evoked Visual Potentials) (INDEPENDENT BCI)
    • Command of Telepresence Robot Through an Independent-BCI Using Depth-of-Field
    • Development of an Independent-BCI Based on SSVEP Using Compressive Sensing
    • Development of an Independent-BCI Based on SSVEP Using Parallel Factor Analysis (PARAFAC) Model
  • BCI USING MOTOR IMAGERY
    • Using Artificial Neural Networks (ANN) and Wavelets
    • Using Short Time Fourier Transform (STFT) and Support Vector Machine (SVM)
    • Using ANN, LDA and k-NN with ERD/ERS Patterns in Mu Rhythm for Detection of Hand Movements
    • Using ANN Based on Self-Organizing Maps (SOM)
    • Using Adaptive Laplacian Spatial Filters
    • Using ERD/ERS Patterns in α and β Rhythms to Command an Avatar
    • BCI and Muscle-Computer Interface (MCI) During Rest (Seated), Rest (Stand Up), Gait and Leg Flexion-Extension Using Motor Imagery: ERD/ERS Patterns in α and β Rhythms and sEMG (surface Electromyography) Amplitude on Trunk and Leg Muscles
  • NEUROREHABILITATION
    • Fundamentals
    • Algorithms for Motor Imagery Detection
    • Neurorehabilitation System Based on transcranial Direct Current Stimulation (tDCS)
    • Protocol/Modelling
    • Experiments with Post-Stroke Patients Using BCI, Virtual Reality plus tDCS
    • Neurorehabilitation System Based on transcutaneous spinal Direct Current Stimulation (tsDCS)
    • Experiments with Post-Stroke Patients Using BCI, Virtual Reality plus tsDCS

Biography:

Dr. Teodiano Freire Bastos-Filho received his B.Sc. degree in Electrical Engineering from
Universidade Federal do Espirito Santo (UFES, Brazil) in 1987, his Specialist degree in
Automation from Instituto de Automatica Industrial (Madrid, Spain) in 1989, and his Ph.D. degree
in Physical Science (Electricity and Electronics) from Universidad Complutense de Madrid
(Spain) in 1994. He was Postdoc Fellow at University of Alcalá (Spain, 2005) and at RMIT
University (Australia, 2012).
He is currently a full professor at UFES, teaching and doing research at the Department of
Electrical Engineering, Postgraduate Program in Electrical Engineering, Postgraduate Program in
Biotechnology and Doctorate Program of the Northeast Network of Biotechnology (RENORBIO).
His current research interests are signal processing, rehabilitation robotics, assistive technology
for people with disabilities and bioinformatics.

He has participated in 44 research projects (and he was the main coordinator of 34 out of them)
and organized 13 international conferences (IWAT2019, IWAT2015, ISSNIP/BRC2014, 2013,
2012, 2011 and 2010, IWSSIP2010, BIODEVICES 2010, 2009 and 2008, IBERDISCAP2006 and
2003) and 3 national conferences (CBEB2020, SBAI1997, CBA2016), and he is member of four
editorial boards (Scientific Reports – Nature, Polytechnica, Advances in Data Science and
Adaptive Analysis – ADSAA, Journal of Medical Engineering, and Ingenious), and reviewer of
several Journals (JMBE, JNER, Robotica, RAS, Sensors, Muscle & Nerve, etc), and Conferences
(IEEE, ISSNIP/BRC, ICRA, Biodevices, etc).

He has h-index of 30 in Google Scholar, 24 in Scopus, and 19 in Web of Science. He has published
more than 900 works: 148 in Journals (IEEE, Sensors and Actuators, Sensor Review, etc.), 626 in
Conferences (IEEE, IFAC, etc.), 4 scientific books, 7 books of conference and 70 chapters of
books).
He holds nine invention patents: one international invention patent and eight national invention
patents and has developed 18 products/processes without patent registration, and he was awarded
with 26 national and international prizes. He has supervised 8 Post-Doc Fellows, 37 PhD, 59 MSc,
1 Specialization, 52 Undergraduate, and 50 scientific initiation students. Currently, he is
supervising 2 Post-Doc Fellows, 9 PhD, 7 MSc, 4 undergraduate, and 2 scientific initiation
students.