Augmenting Motor Imagery Learning for Brain–Computer Interfacing Using Electrical Stimulation as Feedback

التفاصيل البيبلوغرافية
العنوان: Augmenting Motor Imagery Learning for Brain–Computer Interfacing Using Electrical Stimulation as Feedback
المؤلفون: Maureen Clerc, Saugat Bhattacharyya, Mitsuhiro Hayashibe
المساهمون: School of Bio-Science and Engineering [Calcutta], Jadavpur University, Computational Imaging of the Central Nervous System (ATHENA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Tohoku University [Sendai], IPL BCI-LIFT
المصدر: IEEE Transactions on Medical Robotics and Bionics
IEEE Transactions on Medical Robotics and Bionics, 2019, 1 (4), pp.247-255. ⟨10.1109/TMRB.2019.2949854⟩
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2019.
سنة النشر: 2019
مصطلحات موضوعية: medicine.medical_specialty, Control and Optimization, Modality (human–computer interaction), medicine.diagnostic_test, Computer science, Process (engineering), [SCCO.NEUR]Cognitive science/Neuroscience, Biomedical Engineering, Stimulation, Electroencephalography, Computer Science Applications, Human-Computer Interaction, Physical medicine and rehabilitation, Motor imagery, Brain computer interfacing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Artificial Intelligence, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], medicine, Functional electrical stimulation, [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Brain–computer interface
الوصف: International audience; Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral neuronal activation processes and thus, are highly effective to promote motor recovery. This study aims at understanding the effect of FES as a neural feedback and its influence on the learning process for motor imagery tasks while comparing its performance with a classical visual feedback protocol. The participants were randomly separated into two groups: one group was provided with visual feedback (VIS) while the other received electrical stimulation (FES) as feedback. Both groups performed various motor imagery tasks while feedback was provided in form of a bi-directional bar for VIS group and targeted electrical stimulation on the upper and lower limbs for FES group. The results shown in this paper suggest that the FES based feedback is more intuitive to the participants, hence, the superior results as compared to the visual feedback. The results suggest that the convergence of BCI with FES modality could improve the learning of the patients both in terms of accuracy and speed and provide a practical solution to the BCI learning process in rehabilitation.
تدمد: 2576-3202
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb2761232025445821410a477d99f128Test
https://doi.org/10.1109/tmrb.2019.2949854Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....fb2761232025445821410a477d99f128
قاعدة البيانات: OpenAIRE