OLIVEIRA, A. et al; Towards an Intervention Utilizing Functional Electrical Stimulation and Visual Neurofeedback in Virtual Reality for Hand Function Rehabilitation in Individuals with Tetraplegia: A Pilot Study. In IFMBE Proceedings. 1ed.: Springer Nature Switzerland, 2025, v. , p. 901-910
NOREÑA, E e COTRINA A ;. Learning Module for Implementation of Microcontroller-Based PI Control Using the Phase Control Technique. In: 2024 XVI Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (XVI Technologies Applied to Electronics Teaching Conference) (TAEE), 2024, Malaga. 2024 XVI Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (TAEE), 2024. p. 1.
SERAFINI, E et al; Gait Training-Based Motor Imagery and EEG Neurofeedback in Lokomat: A Clinical Intervention With Complete Spinal Cord Injury Individuals. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v. 32, p. 1896-1905, 2024.
FOLLADOR, P et al; Analog Signal Acquisition System for Pressure Sensor Evaluation (In Portuguese). In: 2023 15th IEEE International Conference on Industry Applications (INDUSCON), 2023, São Bernardo do Campo. 2023 15th IEEE International Conference on Industry Applications (INDUSCON), 2023. p. 593.
FERREIRA, A. et al; Applications of BCIs. In: BASTOS, T. (Ed.). Introduction to non-invasive EEG-based Brain-computer interfaces for assistive technologies . CRC Press, 2020. p. 61–76.
BRANDAO, A. et al; Brain signals feature selection for applications in bci (in Portuguese). Revista SODEBRAS, v. 14, p. 154-158, 2019.
COTRINA, A. et al. A SSVEP-BCI Setup Based on Depth-of-Field. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017.
SANTOS, F. et al; Application of a Cartesian robot in upper limbs rehabilitation post stroke people: A proposal (in Portuguese). Brazilian conference of electromyography and kinesiology, Uberlandia, COBEC-SEB, Uberlandia-Brazil 2017.
RIVERA, H. et al. Motor intention detection for robotic walker users using artificial neural networks and eye-tracking. In: Proceedings of XXV Brazilian Conference of Biomedical Engineering, 2016.
COTRINA, A. et al. Towards motor intention detection of robotic walker users based on brain-computer interfaces. In: Proceedings of XXV Brazilian Conference of Biomedical Engineering, 2016.
COTRINA, A. et al. Towards a BCI based on vergence eye movements. Brain-computer interface Meeting 2016.
BENEVIDES, A. et al. Novel SSVEP-BCI setup evaluation during emotional state elicited by unpleasant sounds. Brain-computer interface Meeting 2016.
COTRINA, A. et al. Statistical evaluation of a novel ssvep-bci stimulation setup based on depth-of-field. Research on Biomedical Engineering, v. 31, n. 4, p. 295–306, Jan 2015.
COTRINA, A. et al. Towards a bci-speller based on binary selection. In: 1st International Workshop on Assistive Technology. Vitoria: UFES, 2015.
COTRINA, A. et al. Evaluation of eye movements using tracking devices in context of a novel ssvep-bci setup. In: Proceedings of XII Brazilian Symposium of Intelligent Automation. [S.l.]: UFRN, 2015. p. 1–8.
FLORIANO, A. et al. Development of an ssvep-bci for telepresence robot control (in Portuguese). In: Proceedings of XII Brazilian Symposium of Intelligent Automation. Natal: UFRN, 2015.
COTRINA, A. et al. Toward a hybrid brain-computer interface. In: ANDRADE, A. de O. et al. (Ed.). Technology, techniques and tendences in biomedical engineering. Bauru: Canal6, 2014. p. 343–64.
TRAUERNITCH, M. et al. Toward eeg-based emotion recognition using brain computer interfaces. In: ANDRADE, A. de O. et al. (Ed.). Technology, techniques and tendences in biomedical engineering. Bauru: Canal6, 2014. p. 319–42.
CASTILLO, J. et al. Adaptive bci based on software agents. In: Proceedings of 36th Annual International Conference of Engineering in Medicine and Biology Society. [S.l.:s.n.], 2014.
CASTILLO, J. et al. Proposal of a brain computer interface to command an autonomous car. In: 5th Biosignals and Biorobotics Conference. Salvador: IEEE, 2014. p. 1–6.
CASTILLO, J. et al. Comparison among feature extraction techniques based on power spectrum for a ssvep-bci. In: Proceedings of IEEE International Conference on Industrial Informatics. Porto Alegre: IEEE, 2014. p. 284 – 288.
COTRINA, A. et al. Towards a ssvep-bci based on depth of field. In: Proceedings of the 6th International BCI Conference. Graz: TU Graz, 2014. p. 1–6.
COTRINA, A. et al. Towards an architecture of a hybrid bci based on ssvep-bci and passive-bci. In: Proceedings of 36th Annual International Conference of Engineering in Medicine and Biology Society. Chicago: IEEE, 2014. p. 1342–5.
COTRINA, A. et al. Evaluation of emotional components to improve a ssvep-bci. In: Annuals of Automation Brazilian Conference. Belo Horizonte: UFMG, 2014.
COTRINA, A. et al. Computing stress-related emotional state via frontal cortex asymmetry to be applied in passive-ssbci. In: Proceedings of Biosignals and Biorobotics Conference. Salvador: IEEE, 2014. p. 1–6.
COTRINA, A. et al. EEG Evaluation During Emotional State Elicited by Unpleasant Sounds to be Applied in BCI. In: Proceedings of International Brain-Computer Interface Meeting, Pacific Grove, USA, Jul 2013.
COTRINA, A. et al. Evaluation of erd/ers caused by unpleasant sounds to be applied in bcis. In: Proceedings of Biosignals and Biorobotics Conference. Rio de Janeiro: IEEE, 2013. p. 1–6.
BASTOS, T. et al. Evaluation of feature extraction techniques in emotional state recognition. In: 4th International Conference on Intelligent Human Computer Interaction (IHCI). Kharagpur: IEEE, 2012. p. 1–6.
BENEVIDES, A. et al. Evaluation of motor and non-motor mental tasks to be applied to brain-computer interfaces (in Portuguese). Medical Journal of Minas Gerais, v. 22, n. 6, p. 30, Set 2012.
COTRINA, A. et al. Evaluation of statistical features and hoc of eeg signals to be applied on emotional states recognizing (in Portuguese). Medical Journal of Minas Gerais, v. 22, n. 6, p. 131, Set 2012.