@inproceedings{2860c4b6b121438e8d6b96ca32cab1aa,
title = "A Flexible and Wearable EEG Device",
abstract = "Electroencephalography (EEG) is an important bio-potential and has been widely applied in clinical applications. In particular, recent advances in EEG monitoring technologies pave the way for wearable, wireless, flexible EEG monitoring devices. However, current EEG systems require EEG electrodes with conductive gels (wet electrodes) to acquire EEG signal and then transmit these EEG signal to the back-end computer to perform. This also reduces the convenience of use in daily life and increases the limitation of EEG applications. In this study, a novel wearable device for ambulatory monitoring of EEG was proposed. Different from other EEG measurement device, it can provide an excellent performance of avoiding the signal attenuation, phase distortion, and the reduction of common mode rejection ratio. Even under walking motion, it can effectively acquire EEG in hairy site. From the experimental results, the proposed device can provide a good performance of measuring EEG in a hairy site and a good ability to avoid the influence of motion artifact.",
keywords = "dry electrode, electroencephalography, flexible, hairy site, signal attenuation",
author = "Chang, {Ruei Jie} and Wu, {Chi Rung} and He, {Ke Yi} and Bor-Shyh Lin",
year = "2017",
month = aug,
day = "10",
doi = "10.1109/CMCSN.2016.24",
language = "English",
series = "Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "48--51",
editor = "Pei-Wei Tsai and Junzo Watada and Naoyuki Kubota",
booktitle = "Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016",
address = "United States",
note = "3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 ; Conference date: 20-05-2016 Through 22-05-2016",
}