A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis
Rhythms extraction from electroencephalography (EEG) signals can be used to monitor the physiological and pathological states of the brain and has attracted much attention in recent studies. A flexible and accurate method for EEG rhythms extraction was proposed by incorporating a novel circulant sin...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-03-01
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| Online Access: | https://peerj.com/articles/13096.pdf |
| _version_ | 1827611159380885504 |
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| author | Hai Hu Zihang Pu Peng Wang |
| author_facet | Hai Hu Zihang Pu Peng Wang |
| author_sort | Hai Hu |
| collection | DOAJ |
| description | Rhythms extraction from electroencephalography (EEG) signals can be used to monitor the physiological and pathological states of the brain and has attracted much attention in recent studies. A flexible and accurate method for EEG rhythms extraction was proposed by incorporating a novel circulant singular spectrum analysis (CiSSA). The EEG signals are decomposed into the sum of a set of orthogonal reconstructed components (RCs) at known frequencies. The frequency bandwidth of each RC is limited to a particular brain rhythm band, with no frequency mixing between different RCs. The RCs are then grouped flexibly to extract the desired EEG rhythms based on the known frequencies. The extracted brain rhythms are accurate and no mixed components of other rhythms or artifacts are included. Simulated EEG data based on the Markov Process Amplitude EEG model and experimental EEG data in the eyes-open and eyes-closed states were used to verify the CiSSA-based method. The results showed that the CiSSA-based method is flexible in alpha rhythms extraction and has a higher accuracy in distinguishing between the eyes-open and eyes-closed states, compared with the basic SSA method, the wavelet decomposition method, and the finite impulse response filtering method. |
| first_indexed | 2024-03-09T08:01:07Z |
| format | Article |
| id | doaj.art-ec5208f86aea468ea4548fa9cfcdd63e |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T08:01:07Z |
| publishDate | 2022-03-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-ec5208f86aea468ea4548fa9cfcdd63e2023-12-03T00:46:33ZengPeerJ Inc.PeerJ2167-83592022-03-0110e1309610.7717/peerj.13096A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysisHai HuZihang PuPeng WangRhythms extraction from electroencephalography (EEG) signals can be used to monitor the physiological and pathological states of the brain and has attracted much attention in recent studies. A flexible and accurate method for EEG rhythms extraction was proposed by incorporating a novel circulant singular spectrum analysis (CiSSA). The EEG signals are decomposed into the sum of a set of orthogonal reconstructed components (RCs) at known frequencies. The frequency bandwidth of each RC is limited to a particular brain rhythm band, with no frequency mixing between different RCs. The RCs are then grouped flexibly to extract the desired EEG rhythms based on the known frequencies. The extracted brain rhythms are accurate and no mixed components of other rhythms or artifacts are included. Simulated EEG data based on the Markov Process Amplitude EEG model and experimental EEG data in the eyes-open and eyes-closed states were used to verify the CiSSA-based method. The results showed that the CiSSA-based method is flexible in alpha rhythms extraction and has a higher accuracy in distinguishing between the eyes-open and eyes-closed states, compared with the basic SSA method, the wavelet decomposition method, and the finite impulse response filtering method.https://peerj.com/articles/13096.pdfRhythms extractionElectroencephalographyCirculant singular spectrum analysisEyes-open and eyes-closed condition |
| spellingShingle | Hai Hu Zihang Pu Peng Wang A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis PeerJ Rhythms extraction Electroencephalography Circulant singular spectrum analysis Eyes-open and eyes-closed condition |
| title | A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| title_full | A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| title_fullStr | A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| title_full_unstemmed | A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| title_short | A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| title_sort | flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis |
| topic | Rhythms extraction Electroencephalography Circulant singular spectrum analysis Eyes-open and eyes-closed condition |
| url | https://peerj.com/articles/13096.pdf |
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