Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton
| Autor: | Teodiano Bastos, Alberto López-Delis, Leondry Mayeta-Revilla, Yunier Prieur-Coloma, Ramon A. Reinoso-Leblanch, Denis Delisle-Rodriguez, Roberto Sagaró-Zamora |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.diagnostic_test
business.industry Computer science 0206 medical engineering Feature extraction Powered exoskeleton Pattern recognition 02 engineering and technology Riemannian geometry Electroencephalography Linear discriminant analysis 020601 biomedical engineering 03 medical and health sciences symbols.namesake 0302 clinical medicine medicine.anatomical_structure Motor imagery medicine symbols Upper limb Artificial intelligence business 030217 neurology & neurosurgery Brain–computer interface |
| Zdroj: | Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036 CIARP |
| DOI: | 10.1007/978-3-030-33904-3_60 |
| Popis: | This work presents a comparison between two methods for spatial feature extraction applied on a system to recognize shoulder flexion/extension motor imagery (SMI) tasks to convey on-line control commands towards a 4 degrees-of-freedom (DoF) upper-limb robotic exoskeleton. Riemannian geometry and Common Spatial Pattern (CSP) are applied on the filtered EEG for spatial feature extraction, which later are used by the Linear Discriminant Analysis (LDA) classifier for motor imagery (MI) recognition. Three bipolar EEG channels were used on six healthy subjects to acquire our database, composed of two classes: rest state and shoulder flexion/extension MI. Our system achieved a mean accuracy (ACC) of 75.12% applying Riemannian, with the highest performance for Subject S01 (ACC = 89.68%, Kappa = 79.37%, true positive rate (TPR) = 87.50%, and FPR < 8.13%). In contrast, for CSP, a mean ACC of 66.29% was achieved. These findings suggest that unsupervised methods for feature extraction, such as Riemannian geometry, can be suitable for shoulder flexion/extension MI to command an upper-limb robotic exoskeleton. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|