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Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach-Part III: Other Biosignals
R. Martinek, M. Ladrova, M. Sidikova, R. Jaros, K. Behbehani, R. Kahankova, A. Kawala-Sterniuk
Language English Country Switzerland
Document type Journal Article, Review
Grant support
CZ.02.1.01/0.0/0.0/16_019/0000867
European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems
SP2021/32
Ministry of Education of the Czech Republic
NLK
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PubMed
34577270
DOI
10.3390/s21186064
Knihovny.cz E-resources
- MeSH
- Electromyography MeSH
- Electrooculography MeSH
- Electroretinography * MeSH
- Signal Processing, Computer-Assisted * MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Analysis of biomedical signals is a very challenging task involving implementation of various advanced signal processing methods. This area is rapidly developing. This paper is a Part III paper, where the most popular and efficient digital signal processing methods are presented. This paper covers the following bioelectrical signals and their processing methods: electromyography (EMG), electroneurography (ENG), electrogastrography (EGG), electrooculography (EOG), electroretinography (ERG), and electrohysterography (EHG).
References provided by Crossref.org
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- $a Martinek, Radek $u Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, FEECS, 708 00 Ostrava, Czech Republic
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- $a Behbehani, Khosrow $u College of Engineering, The University of Texas in Arlington, Arlington, TX 76019, USA
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- $a Kahankova, Radana $u Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava, FEECS, 708 00 Ostrava, Czech Republic
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- $a Kawala-Sterniuk, Aleksandra $u Faculty of Electrical Engineering, Opole University of Technology, Automatic Control and Informatics, 45-758 Opole, Poland
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