单通道脑电图的故事：设备、数据集、信号处理、应用与未来方向
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions
AI总结：
本文全面综述单通道EEG的设备、数据集、信号处理、应用及未来方向，并指出AI生成技术有望使其性能媲美甚至超越多通道EEG。
摘要：
单通道脑电图（EEG）是一种具有成本效益、舒适且非侵入性的脑活动监测方法，被研究人员、消费者和临床医生广泛采用。关于单通道EEG的文章数量和比例不断增加，凸显了其日益增长的潜力。本文对单通道EEG进行了全面综述，重点关注发展趋势、设备、数据集、信号处理方法、近期应用和未来方向。文中阐明了单通道EEG中双极和单极配置的定义，以指导未来的发展。应用主要涵盖睡眠分期、情绪识别、教育研究和临床诊断。基于AI的EEG生成技术中单通道EEG的持续进步表明，其性能有可能与多通道EEG持平或更优。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
