EMG Signal Classification Using Support Vector Discriminant Analysis
(Sprache: Englisch)
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...
Leider schon ausverkauft
versandkostenfrei
Buch
67.90 €
33 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „EMG Signal Classification Using Support Vector Discriminant Analysis “
Klappentext zu „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.
Autoren-Porträt von Ahmed Yousif
Yousif, AhmedAhmed Yousif, Education:Master degree in Biomedical Engineering from Cairo University, 2013.Bachelor degree in Biomedical Engineering from Sudan university of science and technology, 2007.
Bibliographische Angaben
- Autor: Ahmed Yousif
- 2015, 136 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: Scholar's Press
- ISBN-10: 3639765222
- ISBN-13: 9783639765229
Sprache:
Englisch
Kommentar zu "EMG Signal Classification Using Support Vector Discriminant Analysis"
0 Gebrauchte Artikel zu „EMG Signal Classification Using Support Vector Discriminant Analysis“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "EMG Signal Classification Using Support Vector Discriminant Analysis".
Kommentar verfassen