TY - GEN
T1 - A Novel Feature Extraction Scheme for Myoelectric Signals Classification Using Higher Order Statistics
AU - Nazarpour, K.
AU - Sharafat, A. R.
AU - Firoozabadi, S. M.
PY - 2005/4/18
Y1 - 2005/4/18
N2 - We present a novel feature extraction scheme for surface myoelectric signal (sMES) classification. We employ a multilayer perceptron (MLP) in which the feature vector is a mix of the second-, the third-, and the fourth order cumulants of the sMES stationary segments obtained from two recording channels. To reduce the number of features to a sufficient minimum, while retaining their discriminatory information, we employ the method of principle components analysis (PCA). The detected sMES is used to classify four upper limb primitive motions, i.e., elbow flexion (F), elbow extension (E), wrist supination (S), and wrist pronation (P). Simulation results indicate a substantial reduction in the required computations to achieve similar results as compared to existing methods
AB - We present a novel feature extraction scheme for surface myoelectric signal (sMES) classification. We employ a multilayer perceptron (MLP) in which the feature vector is a mix of the second-, the third-, and the fourth order cumulants of the sMES stationary segments obtained from two recording channels. To reduce the number of features to a sufficient minimum, while retaining their discriminatory information, we employ the method of principle components analysis (PCA). The detected sMES is used to classify four upper limb primitive motions, i.e., elbow flexion (F), elbow extension (E), wrist supination (S), and wrist pronation (P). Simulation results indicate a substantial reduction in the required computations to achieve similar results as compared to existing methods
U2 - 10.1109/CNE.2005.1419615
DO - 10.1109/CNE.2005.1419615
M3 - Conference contribution
SN - 0-7803-8710-4
SP - 293
EP - 296
BT - Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2nd International IEEE EMBS Conference on Neural Engineering, 2005.
Y2 - 16 March 2005 through 19 March 2005
ER -