Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms

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@InProceedings{ka-en-pl-10a,

• author = "Paul Kaufmann and Kevin Englehart and Marco Platzner",
• title = "Fluctuating EMG Signals: Investigating Long-term Effects of Pattern Matching Algorithms",
• booktitle = "32nd Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC 2010)",
• year = "2010",
• pages = "6357--6360",
• address = "Buenos Aires, Argentina",
• month = aug # " 31 - " # sep # " 4",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/IEMBS.2010.5627288",
• size = "4 pages",
• abstract = "In this paper, we investigate the behaviour of state-of-the-art pattern matching algorithms when applied to electromyographic data recorded during 21 days. To this end, we compare the five classification techniques k-nearest-neighbour, linear discriminant analysis, decision trees, artificial neural networks and support vector machines. We provide all classifiers with features extracted from electromyographic signals taken from forearm muscle contractions, and try to recognize ten different hand movements. The major result of our investigation is that the classification accuracy of initially trained pattern matching algorithms might degrade on subsequent data indicating variations in the electromyographic signals over time.",
• notes = "Also known as \cite{5627288}",

}

Genetic Programming entries for Paul Kaufmann Kevin Englehart Marco Platzner

Citations