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Title:
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Robust outlier detection in high density surface electromyographic signals
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Author:
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Marateb, Hamid Reza; Rojas Martínez, Mónica; Mañanas Villanueva, Miguel Ángel; Merletti, R.
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics |
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Abstract:
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High Density surface Electromyography
(HDsEMG) has been applied in both research and clinical applications for non-invasive neuromuscular assessment in several different fields using 2-D array. Proper interpretation of HDsEMG signals requires identifying “good” channels (where there is no short-circuit or bad-contact or major power line interference problem). Recording with many channels usually implies bad-contacts (that introduces large power line
interference) and short-circuits (when using gels). In addition to online monitoring the electrode-contact quality, it is necessary to identify “bad” channels, or outliers, prior to the analysis of HDsEMG signal. In this paper we introduce a robust method to identify outliers in a set of monopolar
HDsEMG signals recorded from Biceps and Triceps Brachii,Anconeus, Brachioradialis and Pronator Teres. The sensitivity and precision of this method show that this approach is promising. |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
-Biomedical engineering
-Medical instruments and apparatus
-Enginyeria biomèdica -- Aparells i instruments |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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