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Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton


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Título :
Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton
Autor :
Badesa, Francisco Javier
García Aracil, Nicolás
Catalán, José María
Zollo, Loredana
Díez, Jorge A.
Crea, Simona
Nann, Marius
Cordella, Francesca
Trigili, Emilio
Vitiello, Nicola
Soekadar, Surjo R.
Editor :
MDPI
Departamento:
Departamentos de la UMH::Ingeniería de Sistemas y Automática
Fecha de publicación:
2019
URI :
https://hdl.handle.net/11000/31255
Resumen :
When combined with assistive robotic devices, such as wearable robotics, brain/neural-computer interfaces (BNCI) have the potential to restore the capabilities of handicapped people to carry out activities of daily living. To improve applicability of such systems, workload and stress should be reduced to a minimal level. Here, we investigated the user’s physiological reactions during the exhaustive use of the interfaces of a hybrid control interface. Eleven BNCI-naive healthy volunteers participated in the experiments. All participants sat in a comfortable chair in front of a desk and wore a whole-arm exoskeleton as well as wearable devices for monitoring physiological, electroencephalographic (EEG) and electrooculographic (EoG) signals. The experimental protocol consisted of three phases: (i) Set-up, calibration and BNCI training; (ii) Familiarization phase ; and (iii) Experimental phase during which each subject had to perform EEG and EoG tasks. After completing each task, the NASA-TLX questionnaire and self-assessment manikin (SAM) were completed by the user. We found significant differences (p-value < 0.05) in heart rate variability (HRV) and skin conductance level (SCL) between participants during the use of the two different biosignal modalities (EEG, EoG) of the BNCI. This indicates that EEG control is associated with a higher level of stress (associated with a decrease in HRV) and mental work load (associated with a higher level of SCL) when compared to EoG control. In addition, HRV and SCL modulations correlated with the subject’s workload perception and emotional responses assessed through NASA-TLX questionnaires and SAM.
Palabras clave/Materias:
Assistive technologies
exoskeleton
brain-computer interfaces
Área de conocimiento :
CDU: Generalidades.: Ciencia y tecnología de los ordenadores. Informática.
Tipo documento :
application/pdf
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.3390/s19224931
Aparece en las colecciones:
Artículos Ingeniería de Sistemas y Automática



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