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Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part I: Cardiac Signals
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 project within the Operational Programme Research, Development and Education
SP2021/32
Ministry of Education of the Czech Republic
NLK
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PubMed
34372424
DOI
10.3390/s21155186
Knihovny.cz E-resources
- MeSH
- Algorithms * MeSH
- Electrocardiography * MeSH
- Humans MeSH
- Signal Processing, Computer-Assisted MeSH
- Heart MeSH
- Wavelet Analysis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Advanced signal processing methods are one of the fastest developing scientific and technical areas of biomedical engineering with increasing usage in current clinical practice. This paper presents an extensive literature review of the methods for the digital signal processing of cardiac bioelectrical signals that are commonly applied in today's clinical practice. This work covers the definition of bioelectrical signals. It also covers to the extreme extent of classical and advanced approaches to the alleviation of noise contamination such as digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation and wavelet transform.
References provided by Crossref.org
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