Hybrid Feature Selection for Myoelectric Signal Classification Using MICA
نویسندگان
چکیده
منابع مشابه
Hybrid Feature Selection for Myoelectric Signal Classification Using Mica
This paper presents a novel method to enhance the performance of Independent Component Analysis (ICA) of myoelectric signal by decomposing the signal into components originating from different muscles. First, we use Multi run ICA (MICA) algorithm to separate the muscle activities. Pattern classification of the separated signal is performed in the second step with a back propagation neural netwo...
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ژورنال
عنوان ژورنال: Journal of Electrical Engineering
سال: 2010
ISSN: 1335-3632
DOI: 10.2478/v10187-010-0013-8