NDLI: Evaluating different combinations of feature selection algorithms and cost functions applied to iPCA tuning in myoelectric control systems

Content Provider	IEEE Xplore Digital Library
Author	Munoz, G.A.C. Llanos, C.H. de A. Berger, P. Miosso, C.J. da Rocha, A.F.
Copyright Year	2012
Description	Author affiliation: Gama-FGA/UnB, Univ. of Brasilia, Brasilia, Brazil (Miosso, C.J.; da Rocha, A.F.) \|\| Comput. Sci. Dept., Univ. of Brasilia, Brasilia, Brazil (de A Berger, P.) \|\| Mech. Eng. Dept., Univ. of Brasilia, Brasilia, Brazil (Munoz, G.A.C.; Llanos, C.H.)
Abstract	A myoelectric control system extracts information from electromyographic (EMG) signals and uses it to control different types of prostheses, so that people who suffered traumatisms, paralysis or amputations can use them to execute common movements. Recent research shows that the addition of a tuning stage, using the individual component analysis (iPCA), results in improved classification performance. We propose and evaluate a set of novel configurations for the iPCA tuning, based on a biologically inspired optimization procedure, the artificial bee colony algorithm. This procedure is implemented and tested using two different cost functions, the traditional classification error and the proposed correlation factor, which involves lower computational effort. We compare the tuned system's performance, in terms of correct classifications, to that of a system tuned using two standard algorithms, the sequential forward selection and the sequential floating forward selection. The statistical analyses of the results don't find a significant difference among the classification performances associated with the search algorithms (p <; 0.01). On the other hand, they establish a significant difference among the classification performances related to the cost functions (p <; 0.02).
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	6508
Ending Page	6513
File Size	754888
Page Count	6
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347485
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cost function Electromyography Vectors Correlation Control systems Tuning
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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