Robotic therapy for the hemiplegic shoulder pain: a pilot study

Autor: Ruthber Rodríguez Serrezuela, Mauricio Torres Quezada, Marcia Hernández Zayas, Arquímedes Montoya Pedrón, Daily Milanés Hermosilla, Roberto Sagaró Zamora

Publikováno v: Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-12 (2020)

Abstract Backgrounds Exoskeletons development arises with a leading role in neurorehabilitation technologies; however, very few prototypes for upper limbs have been tested, contrasted and duly certified in terms of their effectiveness in clinical env

Externí odkaz: https://doaj.org/article/487dda86375f4f649612652bfcfc0488

Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification

Autor: Daily Milanés-Hermosilla, Rafael Trujillo Codorniú, René López-Baracaldo, Roberto Sagaró-Zamora, Denis Delisle-Rodriguez, John Jairo Villarejo-Mayor, José Ricardo Núñez-Álvarez

Publikováno v: Sensors, Vol 21, Iss 21, p 7241 (2021)

Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an alternative communication channel to patients with severe motor disabilities, achieving high classification accuracy through machine learning techniques. Recently

Externí odkaz: https://doaj.org/article/b665f6d72ba44165a4a48b85e53a98d8

Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification

Autor: José Ricardo Núñez-Álvarez, René López-Baracaldo, Denis Delisle-Rodriguez, Roberto Sagaró-Zamora, Rafael Trujillo Codorniú, Daily Milanés-Hermosilla, John Jairo Villarejo-Mayor

Publikováno v: Sensors, Vol 21, Iss 7241, p 7241 (2021)
Sensors
Volume 21
Issue 21
Sensors (Basel, Switzerland)
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa

Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an alternative communication channel to patients with severe motor disabilities, achieving high classification accuracy through machine learning techniques. Recently

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83a8a69fc159d32d0fcf83bee24933e7
https://pubmed.ncbi.nlm.nih.gov/34770553

Robotic therapy for the hemiplegic shoulder pain: a pilot study

Autor: Marcia Sandra Hernández Zayas, Daily Milanés Hermosilla, Arquímedes Montoya Pedrón, Ruthber Rodriguez Serrezuela, Roberto Sagaró Zamora, Mauricio Torres Quezada

Publikováno v: Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 17, Iss 1, Pp 1-12 (2020)

Backgrounds Exoskeletons development arises with a leading role in neurorehabilitation technologies; however, very few prototypes for upper limbs have been tested, contrasted and duly certified in terms of their effectiveness in clinical environments

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b8f956f4ed0d06302bb052193870266
https://pubmed.ncbi.nlm.nih.gov/32321536

Shallow Convolutional Network Excel for Classifying Motor Imagery EEG in BCI Applications

Autor: Daily Milanes Hermosilla, Rafael Trujillo Codorniu, Rene Lopez Baracaldo, Roberto Sagaro Zamora, Denis Delisle Rodriguez, Yolanda Llosas Albuerne, Jose Ricardo Nunez Alvarez

Publikováno v: IEEE Access, Vol 9, Pp 98275-98286 (2021)

Many studies applying Brain-Computer Interfaces (BCIs) based on Motor Imagery (MI) tasks for rehabilitation have demonstrated the important role of detecting the Event-Related Desynchronization (ERD) to recognize the user’s motor intention. Nowaday

Externí odkaz: https://doaj.org/article/227870f4e8dd4eaba64328fc804003a7