Advanced bioelectrical signal processing methods: Past, present and future approach - Part I: Cardiac signals
| dc.contributor.author | Martinek, Radek | |
| dc.contributor.author | Ládrová, Martina | |
| dc.contributor.author | Šidiková, Michaela | |
| dc.contributor.author | Jaroš, René | |
| dc.contributor.author | Behbehani, Khosrow | |
| dc.contributor.author | Kahánková, Radana | |
| dc.contributor.author | Kawala-Sterniuk, Aleksandra | |
| dc.date.accessioned | 2022-04-22T11:48:41Z | |
| dc.date.available | 2022-04-22T11:48:41Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | 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. | cs |
| dc.description.firstpage | art. no. 5186 | cs |
| dc.description.issue | 15 | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 21 | cs |
| dc.identifier.citation | Sensors. 2021, vol. 21, issue 15, art. no. 5186. | cs |
| dc.identifier.doi | 10.3390/s21155186 | |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | http://hdl.handle.net/10084/146072 | |
| dc.identifier.wos | 000682230600001 | |
| dc.language.iso | en | cs |
| dc.publisher | MDPI | cs |
| dc.relation.ispartofseries | Sensors | cs |
| dc.relation.uri | https://doi.org/10.3390/s21155186 | cs |
| dc.rights | © 2021 by the authors. 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. | cs |
| dc.rights.access | openAccess | cs |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
| dc.subject | biomedical signals | cs |
| dc.subject | cardiac signals | cs |
| dc.subject | electrocardiography | cs |
| dc.subject | vectorcardiography | cs |
| dc.subject | fetal electrocardiography | cs |
| dc.title | Advanced bioelectrical signal processing methods: Past, present and future approach - Part I: Cardiac signals | cs |
| dc.type | article | cs |
| dc.type.status | Peer-reviewed | cs |
| dc.type.version | publishedVersion | cs |
Files
Original bundle
1 - 1 out of 1 results
Loading...
- Name:
- 1424-8220-2021v21i15an5186.pdf
- Size:
- 888.81 KB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 out of 1 results
Loading...
- Name:
- license.txt
- Size:
- 718 B
- Format:
- Item-specific license agreed upon to submission
- Description:
Collections
Publikační činnost VŠB-TUO ve Web of Science / Publications of VŠB-TUO in Web of Science
OpenAIRE
Publikační činnost Katedry kybernetiky a biomedicínského inženýrství / Publications of Department of Cybernetics and Biomedical Engineering (450)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals
OpenAIRE
Publikační činnost Katedry kybernetiky a biomedicínského inženýrství / Publications of Department of Cybernetics and Biomedical Engineering (450)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals