Dr. Tat’y Mwata Velu was born in Kikwit City, Democratic Republic of Congo. He holds a Bachelor’s Degree in Electronics and Telecommunications from the Higher Pedagogical and Technical Institute of Kinshasa (ISPT-Kinshasa), Democratic Republic of Congo, in 2008. He has a Master’s Degree in Electrical Engineering (Instrumentation and Digital Systems) from the University of Guanajuato, in 2018, and he got a Ph.D. Degree in Electrical Engineering from the same University in 2022.
His research interests are focused on biological signal processing, robotics, Artificial Intelligence, embedded systems, image processing, Brain-Computer Interfaces, Deep Learning, telecommunications, and bio-inspired systems.
Currently, he is an Associate Professor at the ISPT–Kinshasa (DRC), a postdoctoral researcher at the Centro de Investigación en Computación of the Instituto Politécnico Nacional, Mexico, and a member of the Sistema Nacional de Investigadores (SNI), Mexico-City, Mexico.
In this study, an embedded BCI system based on fist MI signals is developed. It uses an Emotiv EPOC+ Brainwear®, an Altera SoCKit® development board, and a hexapod robot for testing locomotion imagery commands. The system is tested to detect the imagined movements of closing and opening the left and right hand to control the robot locomotion. Electroencephalogram (EEG) signals associated with the motion tasks are sensed on the human sensorimotor cortex. Next, the SoCKit processes the data to identify the commands allowing the controlled robot locomotion. The classification of MI-EEG signals from the F3, F4, FC5, and FC6 sensors is performed using a hybrid architecture of Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. The proposed method is evaluated using k-fold cross-validation on both created and public Scientific-Data datasets. Our dataset is comprised of 2400 trials obtained from four test subjects, lasting three seconds of closing and opening fist movement imagination. The recognition tasks reach 84.69% and 79.2% accuracy using our data and a state-of-the-art dataset, respectively. Numerical results support that the motor imagery EEG signals can be successfully applied in BCI systems to control mobile robots and related applications such as intelligent vehicles. This project was fully supported by the Electrical and Electronics Departments of the Universidad de Guanajuato under the Program POA 2021, Grant 145790, The Mexican National Council of Science and Technology (CONACYT) through the grant 763527/600853, and the research project ERC-297702
This project aims to decode individual right-hand fingers’ imagined movements for BCI applications, using MI-EEG signals from C3, Cz, P3, and Pz channels. For this purpose, the Empirical Mode Decomposition (EMD) preprocesses the non-stationary and non-linear EEG signals to finally use a Bidirectional Long Short-Term Memory (BiLSTM) to classify corresponding feature sequences. An average accuracy of 98.8 % was achieved for ring-finger movements decoding using k-fold cross-validation on a public dataset (Scientific-Data). The obtained results support that the proposed framework can be used for BCI control applications. This project was fully supported by the Electrical and Electronics Departments of the Universidad de Guanajuato under the Program POA 2021, and The Mexican National Council of Science and Technology (CONACYT) through the grant 763527/600853
This project aims to use the NAO robot to fulfill the tasks of recognizing objects, which are bottles of different colors. The NAO receives an audio order and walks to bring in its hands the bottle specified according to the color. This work is supported by the Centro de Investigación en Computación—Instituto Politécnico Nacional through the Dirección de Investigación (Folio SIP/1988/DI/DAI/2022) and the Mexican Council of Science and Technology CONACyT under the postdoctoral grant 2022–2024 CVU No. 763527.
Mwata-Velu, T., Niyonsaba-Sebigunda, E., Avina-Cervantes, J. G., Ruiz-Pinales, J., Velu-A-Gulenga, N., & Alonso-Ramırez, A. A. (2023). Motor imagery multi-tasks classification for bcis using the nvidia jetson tx2 board and the eegnet network. Sensors, 23(8), 4164.
ConsultAlonso-Ramirez, A. A., Mwata-Velu, T., Garcia-Capulin, C., Rostro-Gonzalez, H., Prado-Olivares, J., Gutiérrez-López, M., & Barranco-Gutierrez, A. (2022). Classifying parasitized and uninfected malaria red blood cells using convolutional-recurrent neural networks. IEEE Access, 10(99), 97348–97359.
ConsultMwata-Velu, T., Avina-Cervantes, J. G., Ruiz-Pinales, J., Garcia-Calva, T. A., González-Barbosa, E.-A., Hurtado-Ramos, J. B., & González-Barbosa, J.-J. (2022). Improving motor imagery eeg classification based on channel selection using a deep learning architecture. Mathematics, 10(13).
ConsultMwata-Velu, T., Ruiz-Pinales, J., Avina-Cervantes, J. G., Gonzalez-Barbosa, J. J., & Contreras-Hernandez, J. L. (2022). Empirical Mode Decomposition and a Bidirectional LSTM Architecture Used to Decode Individual Finger MI-EEG Signals. Journal of Advances in Applied & Computational Mathematics, 9, 32–48.
ConsultMwata-Velu, T., Avina-Cervantes, J. G., Cruz-Duarte, J. M., Rostro-Gonzalez, H., & Ruiz-Pinales, J. (2021). Imaginary Finger Movements Decoding Using Empirical Mode Decomposition and a Stacked BiLSTM Architecture. Mathematics, 9(24).
ConsultMwata-Velu, T., Ruiz-Pinales, J., Rostro-Gonzalez, H., Ibarra-Manzano, M. A., Cruz-Duarte, J. M., & Avina-Cervantes, J. G. (2021). Motor Imagery Classification Based on a Recurrent-Convolutional Architecture to Control a Hexapod Robot. Mathematics, 9(6).
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Misseba, F. (2015). The toip, an alternative for the enterprise telephony. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Onguiele S., Y. (2015). Sizing of an industrial conveyor drive motor, case of line 4 conveyor, depalletizer output - box input of the brasco/mpila-brazzaville plant. In Professional licence monograph, Technical Training Center, Ministry of National Defence, Equipment General Direction , Mpila, Brazzaville, Republic of Congo.
Alena S. Ettome, B. (2014). Evaluative approach of the internet network strengths and weaknesses. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Banviri Elbelobe, D. (2014). Calculation of the direct radio link between the istp campus and the great university library of brazaville. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Banzouri, R. R. (2014). Effects of electromagnetic waves from the gsm 2-3g network on human health. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Ipoukou Ondongo, B. (2014). Detailed study of PIC micro-controllers. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Lempaye P., H. (2014). Technical approach of the rtcp - gsm network interconnection. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Magba, G.-F. (2014). Study of a surveillance system deployment of the border perimeter between the Central African Republic and Chad. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Mayela Greri, A. (2014). Direct reception of the astra 1 satellite at 19.2◦ E : Issues and practical considerations. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Mounga, N. (2014). Analysis of the biometric solution for securing system access. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Ntaloulou, G.-P. (2014). Analysis of call security in a gsm 3-g network. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Ntassou, M. (2014). Implementation of an internal wired telephone network: Case of the istp-brazzaville main site. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.
Nyamwasa, M. (2014). Study and realization of a domestic fire alarm system. In Professional licence monograph, Institut des Sciences et Techniques Professionnelles, Brazzaville, Republic of Congo.