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portada EMG Signal Classification Using Support Vector Discriminant Analysis
Type
Physical Book
Language
English
Pages
136
Format
Paperback
Dimensions
22.9x15.2x0.8 cm
Weight
0.21 kg.
ISBN13
9783639765229

EMG Signal Classification Using Support Vector Discriminant Analysis

Ahmed Yousif (Author) · Scholars' Press · Paperback

EMG Signal Classification Using Support Vector Discriminant Analysis - Yousif, Ahmed

New Book Imported to Taiwan
Delivery: 08 Oct - 16 Oct Shipping: 14 to 15 business days.
NT$ 2,522
NT$ 2,522

Synopsis "EMG Signal Classification Using Support Vector Discriminant Analysis"

Classification of neuromuscular disorders using the intramuscular Electromyograph signals was obtained by improve the quality of the signal before feature extraction, and optimize the feature space to provide better discrimination ability. The signal quality evaluation was considered based on determining the best wavelet function for Electromyograph identification and denoising. Optimizing the feature space was performed based on the supervised feature projection method, the Support Vector Discriminant Aanalysis.

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