Sleep, Hearing, and Real-world Use

睡眠、助听器集成、长时佩戴和 OpenBCI real-world 原型方向。

这一组解决什么问题

这一组把 ear-centered EEG 推向睡眠、助听器、长时佩戴和真实环境采集。

Sterr 2018 和 Mikkelsen 2019 关注睡眠/PSG，Denk 2018 关注 hearing device ERP，Reali 2021 把 OpenBCI 和 cEEGrid 接入真实环境 BCI 原型。

真实使用场景的难点不只是信号能不能看见，还包括佩戴、皮肤接触、设备噪声、用户错误、时间同步和标签来源。

#	Paper	Route	Stage	一句话
14	Sterr et al., 2018	behind-the-ear cEEGrid	sleep PSG comparison	Sleep-stage kappa was moderate; 9/13 sleep parameters agreed well.
15	Denk et al., 2018	in-ear and around-ear	hearing-device ERP	cEEGrid SNR exceeded local in-concha; N100/P300 detected to device setting changes.
16	Mikkelsen et al., 2019	around-the-ear EEG	sleep/wake machine learning	Automatic cEEGrid beat actigraphy/manual cEEGrid and approached PSG-derived systems.
17	Reali et al., 2021	OpenBCI + cEEGrid	open-source real-world BCI	Low-cost setup captured Berger alpha, workload frequency effects, and ECG R-waves in 4/5 valid cases.