Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs. - Leticia Silva; Denis Delisle Rodríguez; Vivianne Cardoso; Dharmendra Gurve; Sridhar Krishnan 001; Teodiano Freire Bastos-Filho (SMC, 2020)

Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity. - Vivianne Cardoso; Denis Delisle Rodríguez; M. Alejandra Romero-Laiseca; Flávia A. Loterio; Dharmendra Gurve; Alan Floriano; Carlos Valadão; Leticia Silva; Sridhar Krishnan 001; Anselmo Frizera-Neto; Teodiano Freire Bastos-Filho (Sensors, 2021)

Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms. - Ana Cecilia Villa-Parra; Ismael Criollo; Carlos Valadão; Leticia Silva; Yves Luduvico Coelho; Lucas Lampier; Luara Rangel; Garima Sharma; Denis Delisle Rodríguez; John Calle Sigüencia; Fernando Urgiles-Ortiz; Camilo A. R. Díaz; et al. (Sensors, 2022)

A Deep Learning Approach for Estimating SpO2 Using a Smartphone Camera. - Lucas Lampier; Alan Floriano; Carlos T. Valadão; Leticia Silva; Eliete Caldeira; Teodiano Freire Bastos-Filho (IEEE Trans. Instrum. Meas., 2023)

Unraveling Transformative Effects after tDCS and BCI Intervention in Chronic Post-Stroke Patient Rehabilitation - An Alternative Treatment Design Study. - Jessica Souza Lima; Leticia Silva; Denis Delisle Rodríguez; Vivianne Cardoso; Ester Miyuki Nakamura-Palacios; Teodiano Freire Bastos-Filho (Sensors, 2023)

Towards a Multimodal Automatic Equipment for Predictive Health Monitoring of Industrial Workers: A Usability Perspective. - Leonardo Ormaza-Siguenza; Leticia Silva; Ana Cecilia Villa-Parra; Teodiano Freire Bastos-Filho (MeMeA, 2024)