Kim, Keun-Tae Choi, Junhyuk Jeong, Ji Hyeok Kim, Hyungmin Lee, Song Joo 2024-01-19T11:31:24Z 2024-01-19T11:31:24Z 2022-09-15 2022-08 2314-6133 https://pubs.kist.re.kr/handle/201004/114786 Steady-state somatosensory-evoked potential- (SSSEP-) based brain-computer interfaces (BCIs) have been applied for assisting people with physical disabilities since it does not require gaze fixation or long-time training. Despite the advancement of various noninvasive electroencephalogram- (EEG-) based BCI paradigms, researches on SSSEP with the various frequency range and related classification algorithms are relatively unsettled. In this study, we investigated the feasibility of classifying the SSSEP within high-frequency vibration stimuli induced by a versatile coin-type eccentric rotating mass (ERM) motor. Seven healthy subjects performed selective attention (SA) tasks with vibration stimuli attached to the left and right index fingers. Three EEG feature extraction methods, followed by a support vector machine (SVM) classifier, have been tested: common spatial pattern (CSP), filter-bank CSP (FBCSP), and mutual information-based best individual feature (MIBIF) selection after the FBCSP. Consequently, the FBCSP showed the highest performance at 71.5 & PLUSMN;2.5% for classifying the left and right-hand SA tasks than the other two methods (i.e., CSP and FBCSP-MIBIF). Based on our findings and approach, the high-frequency vibration stimuli using low-cost coin motors with the FBCSP-based feature selection can be potentially applied to developing practical SSSEP-based BCI systems. English Hindawi Publishing Corporation High-Frequency Vibrating Stimuli Using the Low-Cost Coin-Type Motors for SSSEP-Based BCI Article 10.1155/2022/4100381 1 BioMed Research International, v.2022 BioMed Research International 2022 Y scie scopus 000850205300001 Biotechnology & Applied Microbiology Medicine, Research & Experimental Biotechnology & Applied Microbiology Research & Experimental Medicine Article BRAIN-COMPUTER INTERFACES COMMUNICATION MOVEMENT REFLEX