Author:
Mathe Mariyadasu,Mididoddi Padmaja,Battula Tirumala Krishna
Publisher
Springer Science and Business Media LLC
Reference25 articles.
1. SARIN M, VERMA A, MEHTA D H, et al. Automated ocular artifacts identification and removal from EEG data using hybrid machine learning methods [C]//2020 7th International Conference on Signal Processing and Integrated Networks. Noida: IEEE, 2020: 1054–1059.
2. B ABD RANI M S, BT MANSOR W. Detection of eye blinks from EEG signals for home lighting system activation [C]//2009 6th International Symposium on Mechatronics and its Applications. Sharjah: IEEE, 2009: 1–4.
3. MUTHUKUMARASWAMY S D. High-frequency brain activity and muscle artifacts in MEG/EEG: A review and recommendations [J]. Frontiers in Human Neuroscience, 2013, 7: 138.
4. MATHE M, MIDIDODDI P, KRISHNA B T. Artifact removal methods in EEG recordings: A review [J]. Proceedings of Engineering and Technology Innovation, 2022, 20: 35–56.
5. ZHENG W L, LU B L. Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks [J]. IEEE Transactions on Autonomous Mental Development, 2015, 7(3): 162–175.