Accessibility navigation


Movement intention detection from autocorrelation of EEG for BCI

Wairagkar, M., Hayashi, Y. and Nasuto, S. (2015) Movement intention detection from autocorrelation of EEG for BCI. In: 2015 International Conference on Brain Information and Health.

Full text not archived in this repository.

Official URL: http://dx.doi.org/10.1007/978-3-319-23344-4_21

Abstract/Summary

Movement intention detection is important for development of intuitive movement based Brain Computer Interfaces (BCI). Various complex oscillatory processes are involved in producing voluntary movement intention. In this paper, temporal dynamics of electroencephalography (EEG) associated with movement intention and execution were studied using autocorrelation. It was observed that the trend of decay of autocorrelation of EEG changes before and during the voluntary movement. A novel feature for movement intention detection was developed based on relaxation time of autocorrelation obtained by fitting exponential decay curve to the autocorrelation. This new single trial feature was used to classify voluntary finger tapping trials from resting state trials with peak accuracy of 76.7%. The performance of autocorrelation analysis was compared with Motor-Related Cortical Potentials (MRCP).

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:40677
Uncontrolled Keywords:Keywords: Electroencephalography, Autocorrelation, Voluntary movement, intention, Motor-related corticle potentials, BCI

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation