Spatio-temporal Comparison between ERD/ERS and MRCP-based Movement Prediction

Anett Seeland; Laura Manca; Frank Kirchner; Elsa Andrea Kirchner

In: Proceedings of the 8th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-15). International Conference on Bio-inspired Systems and Signal Processing (Biosignalis-15), located at BIOSTEC, January 12-15, Lisbon, Portugal, Pages 219-226, ScitePress, 1/2015.


In brain-computer interfaces (BCIs) based on electroencephalography (EEG), two distinct EEG patterns related to movement have been used for detecting the brains preparation for voluntary movements: a) event related patterns in the time domain named movement related cortical potentials (MRCPs) and b) patterns in the frequency domain named event-related desynchronization/synchronization (ERD/ERS). A common aim for applications of those patterns in BCIs is to maximize detection performance. To this end, the known spatio-temporal differences in EEG activity can be of interest, since they might influence the classification performance of the two different patterns. In this paper, we compared the classification performance based on ERD/ERS and MRCP while varying the time point of prediction as well as the used electrode sites. Empirical results were obtained from eight subjects performing voluntary right arm movements. Results show: a) classification based on MRCP is superior compared to ERD/ERS close to the movement onset whereas the opposite results farther away from the movement onset, b) the performance maximum of MRCP is located at central electrodes whereas it is at fronto-central electrodes for ERD/ERS. In summary, the results contribute to a better insight into the spatial and temporal differences between ERD/ERS and MRCP in terms of prediction performance.


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German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz