Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence
MetadataShow full item record
Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. EEG is useful to distinguish between left arm and right arm movements, however, it is difficult to classify the different movements on one arm. In this paper, a two-step single-trial classification method is proposed to recognize three movements (make a fist, hand extension and elbow flexion) of left and right arms: (1) distinguish between left arm and right arm movements by decoding event-related (de) synchronization (ERD/ERS) and (2) recognize the specific movement of this arm using corticomuscular coherence as features. Four healthy subjects are employed in a cue-based motor execution (ME) experiment. In Step one, ERD and post-movement ERS are found over the contralateral sensorimotor area; in Step two, for each movement, only the beta-band coherence between C3/C4 and the corresponding agonistic muscle is significant. The classification results show the best accuracy of Step one and Step two is 88.10% and 93.33%, respectively. This proposed method achieves a total accuracy of 82.22%. This study demonstrates that our method is effective to classify different movements on one arm, and provides the theoretic basis and technical support for the practical development of BMI-based motor restoration applications.
Tang, Z., Yu, H., Lu, C., Liu, P. and Jin, X. (2019) 'Single-Trial Classification of Different Movements on One Arm Based on ERD/ERS and Corticomuscular Coherence', IEEE Access, 7, pp.128185-128197. DOI: 10.1109/ACCESS.2019.2940034.
Article published in IEEE Access on 09 September 2019, available open access at: https://doi.org/10.1109/ACCESS.2019.2940034.
10.13039/501100001809-National Natural Science Foundation of China; Ministry of Education in China (MOE) Project of Humanities and Social Sciences; Fundamental Research Funds for the Provincial Universities of Zhejiang; Key Research and Development Program of Zhejiang Province.
Showing items related by title, author, subject and abstract.
Collins, Joseph (Cardiff Metropolitan University, 2014)This study looked at movement patterns in elite tennis in relation to injury risk and gender difference at the US Open grand slam tennis event. The aim of the study was to identify what movement patterns that were deemed ...
Lewis, Gregory (University of Wales Institute Cardiff, 2012)The aim of this study was to investigate the kinematic and kinetic variables of lateral dives to dominant and non-dominant sides by a cricket fielder in an attempt to catch a thrown ball. Also to identify different techniques ...
Keay-Bright, Wendy (2017-07-09)This paper will report on Somability, a project developed with a day centre for adults with complex disabilities. Objective: Somability uses camera and projection technologies to translate full body movement into ...