Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals
As it was mentioned in the previous part of this work (Part I)—the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II wor...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/19/6343 |
| _version_ | 1827680549051826176 |
|---|---|
| author | Radek Martinek Martina Ladrova Michaela Sidikova Rene Jaros Khosrow Behbehani Radana Kahankova Aleksandra Kawala-Sterniuk |
| author_facet | Radek Martinek Martina Ladrova Michaela Sidikova Rene Jaros Khosrow Behbehani Radana Kahankova Aleksandra Kawala-Sterniuk |
| author_sort | Radek Martinek |
| collection | DOAJ |
| description | As it was mentioned in the previous part of this work (Part I)—the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II work—various innovative methods for the analysis of brain bioelectrical signals were presented and compared. It also describes both classical and advanced approaches for noise contamination removal such as among the others digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform. |
| first_indexed | 2024-03-10T06:52:13Z |
| format | Article |
| id | doaj.art-87c4b5be5a1c4bbd94e537a33a6ad196 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T06:52:13Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-87c4b5be5a1c4bbd94e537a33a6ad1962023-11-22T16:44:38ZengMDPI AGSensors1424-82202021-09-012119634310.3390/s21196343Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain SignalsRadek Martinek0Martina Ladrova1Michaela Sidikova2Rene Jaros3Khosrow Behbehani4Radana Kahankova5Aleksandra Kawala-Sterniuk6Department of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava—FEECS, 708 00 Ostrava-Poruba, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava—FEECS, 708 00 Ostrava-Poruba, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava—FEECS, 708 00 Ostrava-Poruba, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava—FEECS, 708 00 Ostrava-Poruba, Czech RepublicCollege of Engineering, The University of Texas in Arlington, Arlington, TX 76019, USADepartment of Cybernetics and Biomedical Engineering, VSB-Technical University Ostrava—FEECS, 708 00 Ostrava-Poruba, Czech RepublicFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, PolandAs it was mentioned in the previous part of this work (Part I)—the advanced signal processing methods are one of the quickest and the most dynamically developing scientific areas of biomedical engineering with their increasing usage in current clinical practice. In this paper, which is a Part II work—various innovative methods for the analysis of brain bioelectrical signals were presented and compared. It also describes both classical and advanced approaches for noise contamination removal such as among the others digital adaptive and non-adaptive filtering, signal decomposition methods based on blind source separation, and wavelet transform.https://www.mdpi.com/1424-8220/21/19/6343brain signalssignal processing methodselectroencephalographyelectrocorticographybioelectrical signals |
| spellingShingle | Radek Martinek Martina Ladrova Michaela Sidikova Rene Jaros Khosrow Behbehani Radana Kahankova Aleksandra Kawala-Sterniuk Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals Sensors brain signals signal processing methods electroencephalography electrocorticography bioelectrical signals |
| title | Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals |
| title_full | Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals |
| title_fullStr | Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals |
| title_full_unstemmed | Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals |
| title_short | Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach—Part II: Brain Signals |
| title_sort | advanced bioelectrical signal processing methods past present and future approach part ii brain signals |
| topic | brain signals signal processing methods electroencephalography electrocorticography bioelectrical signals |
| url | https://www.mdpi.com/1424-8220/21/19/6343 |
| work_keys_str_mv | AT radekmartinek advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT martinaladrova advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT michaelasidikova advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT renejaros advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT khosrowbehbehani advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT radanakahankova advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals AT aleksandrakawalasterniuk advancedbioelectricalsignalprocessingmethodspastpresentandfutureapproachpartiibrainsignals |