"EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative ..."

Phattarapong Sawangjai et al. (2022)

> Home

Details and statistics

DOI: 10.1109/JBHI.2021.3131104

access: closed

type: Journal Article

metadata version: 2022-10-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/titb/SawangjaiTBPTSW22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/titb/SawangjaiTBPTSW22
Phattarapong Sawangjai, Manatsanan Trakulruangroj, Chiraphat Boonnag, Maytus Piriyajitakonkij, Rajesh Kumar Tripathy, Thapanun Sudhawiyangkul, Theerawit Wilaiprasitporn:
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 26(10): 4913-4924 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.