Wavelet transform-based mode decomposition for EEG signals under general anesthesia
The WMD can be used to extract subtle frequency characteristics of EEGs that have been affected by general anesthesia, thus potentially providing better parameters for use in assessing the depth of general anesthesia.
Authors
- Shoko Yamochi
- Teiji Sawa (ORCID: https://orcid.org/0000-0001-9558-9011)
- Yurie Obata (ORCID: https://orcid.org/0000-0003-0764-3917)
- Koichi Akiyama (ORCID: https://orcid.org/0000-0001-5113-9633)
- Kazuki Sudo
- Tomomi Yamada (ORCID: https://orcid.org/0000-0003-0756-8910)
- Mao Kinoshita (ORCID: https://orcid.org/0000-0001-9478-8764)
Institutions
- Kyoto Prefectural University of Medicine (JP)
- Yodogawa Christian Hospital (JP)
- University Hospital Kyoto Prefectural University of Medicine (JP)
- Kindai University (JP)
Publication Details
- Journal
- PeerJ
- Published
- 2024-11-15
- DOI
- https://doi.org/10.7717/peerj.18518
- Citations
- 2
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.69