Your browser doesn't support javascript.
loading
Physiological Responses During Hybrid BNCI Control of an Upper-Limb Exoskeleton.
Badesa, Francisco J; Diez, Jorge A; Catalan, Jose Maria; Trigili, Emilio; Cordella, Francesca; Nann, Marius; Crea, Simona; Soekadar, Surjo R; Zollo, Loredana; Vitiello, Nicola; Garcia-Aracil, Nicolas.
Afiliação
  • Badesa FJ; Miguel Hernández University of Elche, Av. Universidad w/n, Ed. Innova, 03202 Alicante, Spain.
  • Diez JA; Universidad de Cádiz, Av. de la Universidad n10, 11519 Puerto Real, Spain.
  • Catalan JM; New technologies for Neurorehabilitation Lab., Av. de la Hospitalidad, s/n, 28054 Madrid, Spain.
  • Trigili E; Miguel Hernández University of Elche, Av. Universidad w/n, Ed. Innova, 03202 Alicante, Spain.
  • Cordella F; New technologies for Neurorehabilitation Lab., Av. de la Hospitalidad, s/n, 28054 Madrid, Spain.
  • Nann M; Miguel Hernández University of Elche, Av. Universidad w/n, Ed. Innova, 03202 Alicante, Spain.
  • Crea S; New technologies for Neurorehabilitation Lab., Av. de la Hospitalidad, s/n, 28054 Madrid, Spain.
  • Soekadar SR; The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy.
  • Zollo L; Unit of Advanced Robotics and Human-centred Technologies, Campus Bio-Medico University of Rome, 00128 Rome, Italy.
  • Vitiello N; Applied Neurotechnology Laboratory, Department of Psychiatry and Psychotherapy, University Hopsital of Tübingen, Calwerstr. 14, 72076 Tübingen, Germany.
  • Garcia-Aracil N; The BioRobotics Institute, Scuola Superiore Sant'Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy.
Sensors (Basel) ; 19(22)2019 Nov 12.
Article em En | MEDLINE | ID: mdl-31726745
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article