A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions
<|reference_start|>A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions: Single-channel electroencephalogram (EEG) is a cost-effective, comfortable, and non-invasive method for monitoring brain activity, widely adopted by researchers, consumers, and clinicians. The increasing number and proportion of articles on single-channel EEG underscore its growing potential. This paper provides a comprehensive review of single-channel EEG, focusing on development trends, devices, datasets, signal processing methods, recent applications, and future directions. Definitions of bipolar and unipolar configurations in single-channel EEG are clarified to guide future advancements. Applications mainly span sleep staging, emotion recognition, educational research, and clinical diagnosis. Ongoing advancements of single-channel EEG in AI-based EEG generation techniques suggest potential parity or superiority over multichannel EEG performance.<|reference_end|>
@article{li2024a,
    title={A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal
  Processing, Applications, and Future Directions},
    author={Yueyang Li, Weiming Zeng, Wenhao Dong, Di Han, Lei Chen, Hongyu Chen,
  Hongjie Yan, Wai Ting Siok, and Nizhuan Wang},
    journal={arXiv preprint arXiv:2407.14850},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.14850},
    primaryClass={cs.CV}
}