The Directory of Open Access Journals
DOAJ Logotype
Open
Global
Trusted
Main actions
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Search
Menu
Secondary actions
Search
Journals
Articles
Documentation
API
OAI-PMH
Widgets
Public data dump
OpenURL
XML
Metadata help
Preservation
About
About DOAJ
DOAJ at 20
DOAJ team
Ambassadors
Advisory Board & Council
Editorial Policy Advisory Group
Volunteers
News
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Login
Login
Quick search
Close
×
Journals
Articles
Search by keywords:
In the field:
In all fields
Title
ISSN
Subject
Publisher
Country of publisher
Search
Measurement Science Review
(Jan 2010)
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
Naik Ganesh,
Kumar Dinesh,
Arjunan Sridhar
Affiliations
Naik Ganesh
Electrical and Computer Engineering, RMIT University, Melbourne, Australia
Kumar Dinesh
Electrical and Computer Engineering, RMIT University, Melbourne, Australia
Arjunan Sridhar
Electrical and Computer Engineering, RMIT University, Melbourne, Australia
DOI
https://doi.org/10.2478/v10048-010-0001-y
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 6
Abstract
Read online
No abstracts available.
Keywords
surface electromyography
independent component analysis
blind source separation
gestures
maximum voluntary contractions
rms
motor unit action potential
WeChat QR code
Close