TY - GEN
T1 - A cortical activity localization approach for decoding finger movements from human electrocorticogram signal
AU - Safavi, Seyede Mahya
AU - Behbahani, Alireza S.
AU - Eltawil, Ahmed M.
AU - Nenadic, Zoran
AU - Do, An H.
N1 - Generated from Scopus record by KAUST IRTS on 2019-11-20
PY - 2016/2/26
Y1 - 2016/2/26
N2 - A novel approach for decoding the finger flexion and extension from the human electrocorticogram is proposed. First, for different finger movements, we use projected MUltiple SIgnal Classification (projected MUSIC) as a source localization technique to estimate the active areas in the primary motor cortex. Next, in order to distinguish between the flexion and extension, the results of the single-trial-based source localizations are fed as the input features to a classifier for decoding. The performance of different techniques such as Support Vector Machine (SVM), Perceptron, and the k-Nearest-Neighbor (kNN) are investigated and the resulting classification accuracies are 71.59, 79.1, and 86.33 respectively.
AB - A novel approach for decoding the finger flexion and extension from the human electrocorticogram is proposed. First, for different finger movements, we use projected MUltiple SIgnal Classification (projected MUSIC) as a source localization technique to estimate the active areas in the primary motor cortex. Next, in order to distinguish between the flexion and extension, the results of the single-trial-based source localizations are fed as the input features to a classifier for decoding. The performance of different techniques such as Support Vector Machine (SVM), Perceptron, and the k-Nearest-Neighbor (kNN) are investigated and the resulting classification accuracies are 71.59, 79.1, and 86.33 respectively.
UR - http://ieeexplore.ieee.org/document/7421274/
UR - http://www.scopus.com/inward/record.url?scp=84969769355&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2015.7421274
DO - 10.1109/ACSSC.2015.7421274
M3 - Conference contribution
SN - 9781467385763
BT - Conference Record - Asilomar Conference on Signals, Systems and Computers
PB - IEEE Computer [email protected]
ER -