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Assessment of an assistive control approach applied in an active knee orthosis plus walker for post-stroke gait rehabilitation
ArticleAbstract: The goal of this study is the assessment of an assistive control approach applied to an active kneePalabras claves:Active knee orthosis, Biomechanical analysis, Electromyography, gait rehabilitation, inertial sensors, rehabilitation robotics, strokeAutores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., Lima J.S., Neto A.F., Vargas-Valencia L.Fuentes:googlescopusAn exploration of the erector spinae muscle for knee exoskeleton control
Conference ObjectAbstract: Lumbar erector spinae muscle has been little explored for knee exoskeleton control through sEMG signPalabras claves:Knee exoskeleton, Onset Motion, Sample entropy, SEMGAutores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., López-Delis A., Neto A.F.Fuentes:googlescopusControl of a robotic knee exoskeleton for assistance and rehabilitation based on motion intention from sEMG
ArticleAbstract: Introduction: This work presents the development of a novel robotic knee exoskeleton controlled by mPalabras claves:Admittance control, Electromyography, Robotic knee exoskeleton, Trunk muscles, User intention recognitionAutores:AnaCecilia Villa-Parra, Botelho T., Carelli R., Delisle-Rodríguez D., Freire-Bastos T., López-Delis A., Mayor J.J.V., Neto A.F.Fuentes:googlescopusAdaptive spatial filter based on similarity indices to preserve the neural information on EEG signals during on-line processing
ArticleAbstract: This work presents a new on-line adaptive filter, which is based on a similarity analysis between stPalabras claves:Artifact reduction, Brain-Computer Interface, EEG, EOG, feature selection, gait planning, Laplacian, spatial filter, SSVEPAutores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., Krishnan S., López-Delis A., Neto A.F., Rocon E.Fuentes:googlescopusKnee impedance modulation to control an active orthosis using insole sensors
ArticleAbstract: Robotic devices for rehabilitation and gait assistance have greatly advanced with the objective of iPalabras claves:Active knee orthosis, Admitance control, Footswitch, Gait cycle, Knee impedanceAutores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., Lima J.S., Neto A.F.Fuentes:googlescopusKnee motion pattern classification from trunk muscle based on sEMG signals
Conference ObjectAbstract: A prominent change is being carried out in the fields of rehabilitation and assistive exoskeletons iPalabras claves:Davies-Bouldin criterion, Erector spinae, knee motion intention, Pattern classification, sEMG signals, time-frequency featuresAutores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., López-Delis A.Fuentes:googlescopusNon-supervised Feature Selection: Evaluation in a BCI for Single-Trial Recognition of Gait Preparation/Stop
Book PartAbstract: Is presented a non-supervised method for feature selection based on similarity index, which is appliPalabras claves:Autores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., López-Delis A., Neto A.F., Rocon E.Fuentes:googlescopusShallow Convolutional Network Excel for Classifying Motor Imagery EEG in BCI Applications
ArticleAbstract: Many studies applying Brain-Computer Interfaces (BCIs) based on Motor Imagery (MI) tasks for rehabilPalabras claves:Brain-Computer Interface, EEG, Motor imagery, shallow convolutional neural networksAutores:Delisle-Rodríguez D., Lopez Baracaldo R., Milanes Hermosilla D., Nuñez-Alvarez J.R., Sagaro Zamora R., Trujillo Codorniu R., Yolanda LlosasFuentes:googlescopusStance control with the active knee orthosis ALLOR for post-stroke patients during walking
Book PartAbstract: Strategies for gait rehabilitation that employ active orthosis and exoskeletons have been proposed tPalabras claves:Autores:AnaCecilia Villa-Parra, Delisle-Rodríguez D., Freire-Bastos T., Lima J.S., Neto A.F.Fuentes:googlescopusTowards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms
ArticleAbstract: COVID-19 occurs due to infection through respiratory droplets containing the SARS-CoV-2 virus, whichPalabras claves:biomedical sensors, covid-19, diagnosis, Machine learning, Respiratory diseases, telemedicineAutores:AnaCecilia Villa-Parra, Caldeira E., Coelho Y., Delisle-Rodríguez D., Díaz C., Fernando Urgilés-Ortiz, Freire-Bastos T., Ismael Criollo, John Ignacio Calle Siguencia; PhD, Krishnan S., Lampier L., Rangel L., Sharma G., Silva L., Valadão C.Fuentes:scopus