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Feature and muscle selection for an effective hand motion classifier based on electromyography

Tersimpan di:
Main Authors: Triwiyanto, Triwiyanto; Politeknik Kesehatan Kementerian Kesehatan Surabaya, Rahmawati, Triana; Politeknik Kesehatan Kementerian Kesehatan Surabaya, Pawana, I Putu Alit; Physical Medicine and Rehabilitation, Dr. Soetomo Hospital
Other Authors: POLTEKKES KEMENKES Surabaya, Department of Electromedical Engineering
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: IAES Indonesian Section , 2019
Subjects:
Electromyography
KNN
LDA
Pattern recognition
Statistic features
SVM
Online Access: http://section.iaesonline.com/index.php/IJEEI/article/view/867
http://section.iaesonline.com/index.php/IJEEI/article/view/867/421
http://section.iaesonline.com/index.php/IJEEI/article/downloadSuppFile/867/165
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Internet

http://section.iaesonline.com/index.php/IJEEI/article/view/867
http://section.iaesonline.com/index.php/IJEEI/article/view/867/421
http://section.iaesonline.com/index.php/IJEEI/article/downloadSuppFile/867/165

Lokasi

Koleksi Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Gedung IAES Indonesia Section and Partners
Institusi IAES Indonesia Section and Partners
Kota KOTA YOGYAKARTA
Provinsi DAERAH ISTIMEWA YOGYAKARTA
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  • Embedded system for upper-limb exoskeleton based on electromyography control
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  • Data for: Enhanced EEG-EMG Coherence Analysis Based on Hand Movements
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    Terbitan: (2019)
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