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Restoring Activities of Daily Living Using an EEG/EOG-Controlled Semiautonomous and Mobile Whole-Arm Exoskeleton in Chronic Stroke


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Título :
Restoring Activities of Daily Living Using an EEG/EOG-Controlled Semiautonomous and Mobile Whole-Arm Exoskeleton in Chronic Stroke
Autor :
Nann, Marius
Cordella, Francesca
Trigili, Emilio
Lauretti, Clemente
Bravi, Marco  
Miccinilli, Sandra  
Catalan, Jose  
Badesa, Francisco Javier
Crea, Simona
Bressi, Federica  
Garcia-Aracil, Nicolas  
Vitiello, Nicola
Zollo, Loredana
Soekadar, Surjo R.
Editor :
Institute of Electrical and Electronics Engineers
Departamento:
Departamentos de la UMH::Ingeniería de Sistemas y Automática
Fecha de publicación:
2020-09-17
URI :
https://hdl.handle.net/11000/30841
Resumen :
Stroke survivors with chronic paralysis often have difficulties to perform various activities of daily living (ADLs), such as preparing a meal or eating and drinking independently. Recently, it was shown that a brain/neural hand exoskeleton can restore hand and finger function, but many stroke survivors suffer from motor deficits affecting their whole upper limb. Therefore, novel hybrid electroencephalography/electrooculography (EEG/EOG)-based brain/neural control paradigms were developed for guiding a whole-arm exoskeleton. It was unclear, however, whether hemiplegic stroke survivors are able to reliably use such brain/neural-controlled device. Here, we tested feasibility, safety, and user-friendliness of EEG/EOG-based brain/neural robotic control across five hemiplegic stroke survivors engaging in a drinking task that consisted of several subtasks (e.g., reaching, grasping, manipulating, and drinking). Reliability was assumed when at least 75% of subtasks were initialized within 3 s. Fluent control was assumed if average “time to initialize” each subtask ranged below 3 s. System's safety and user-friendliness were rated using Likert-scales. All chronic stroke patients were able to operate the system reliably and fluently. No undesired side effects were reported. Four participants rated the system as very user-friendly. These results show that chronic stroke survivors are capable of using an EEG/EOG-controlled semiautonomous whole-arm exoskeleton restoring ADLs.
Palabras clave/Materias:
Activities of daily living (ADL)
brain-computer interface (BCI)
brain-machine interface (BMI)
chronic stroke
electroencephalography (EEG)
electrooculography (EOG)
exoskeletons
hemiparesis
rehabilitation robotics
sensorimotor rhythms
shared control
Área de conocimiento :
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1109/JSYST.2020.3021485
Aparece en las colecciones:
Artículos Ingeniería de Sistemas y Automática



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.