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Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals
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 t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/ https://www.ncbi.nlm.nih.gov/pubmed/34577270 http://dx.doi.org/10.3390/s21186064 |
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author | Martinek, Radek Ladrova, Martina Sidikova, Michaela Jaros, Rene Behbehani, Khosrow Kahankova, Radana Kawala-Sterniuk, Aleksandra |
author_facet | Martinek, Radek Ladrova, Martina Sidikova, Michaela Jaros, Rene Behbehani, Khosrow Kahankova, Radana Kawala-Sterniuk, Aleksandra |
author_sort | Martinek, Radek |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-8469046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84690462021-09-27 Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals Martinek, Radek Ladrova, Martina Sidikova, Michaela Jaros, Rene Behbehani, Khosrow Kahankova, Radana Kawala-Sterniuk, Aleksandra Sensors (Basel) Review 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). MDPI 2021-09-10 /pmc/articles/PMC8469046/ /pubmed/34577270 http://dx.doi.org/10.3390/s21186064 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Martinek, Radek Ladrova, Martina Sidikova, Michaela Jaros, Rene Behbehani, Khosrow Kahankova, Radana Kawala-Sterniuk, Aleksandra Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title | Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title_full | Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title_fullStr | Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title_full_unstemmed | Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title_short | Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach—Part III: Other Biosignals |
title_sort | advanced bioelectrical signal processing methods: past, present, and future approach—part iii: other biosignals |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469046/ https://www.ncbi.nlm.nih.gov/pubmed/34577270 http://dx.doi.org/10.3390/s21186064 |
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