Classification of the myoelectric signal
β
K Englehart; B Hudgins; P.A Parker; M Stevenson
π
Article
π
1999
π
Elsevier Science
π
English
β 169 KB
An accurate and computationally efficient means of classifying surface myoelectric signal patterns has been the subject of considerable research effort in recent years. Effective feature extraction is crucial to reliable classification and, in the quest to improve the accuracy of transient myoelectr