標題: Forehead EEG in support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment
作者: Lin, Chin-Teng
Chuang, Chun-Hsiang
Cao, Zehong
Singh, Avinash Kumar
Hung, Chih-Sheng
Yu, Yi-Hsin
Nascimben, Mauro
Liu, Yu-Ting
King, Jung-Tai
Su, Tung-Ping
Wang, Shuu-Jiun
腦科學研究中心
Brain Research Center
關鍵字: Depression;forehead EEG;healthcare;migraine;sleep
公開日期: 1-Jan-2017
摘要: There are current limitations in the recording technologies for measuring EEG activity in clinical and experimental applications. Acquisition systems involving wet electrodes are time-consuming and uncomfortable for the user. Furthermore, dehydration of the gel affects the quality of the acquired data and reliability of long-term monitoring. As a result, dry electrodes may be used to facilitate the transition from neuroscience research or clinical practice to real-life applications. EEG signals can be easily obtained using dry electrodes on the forehead, which provides extensive information concerning various cognitive dysfunctions and disorders. This paper presents the usefulness of the forehead EEG with advanced sensing technology and signal processing algorithms to support people with healthcare needs, such as monitoring sleep, predicting headaches, and treating depression. The proposed system for evaluating sleep quality is capable of identifying five sleep stages to track nightly sleep patterns. Additionally, people with episodic migraines can be notified of an imminent migraine headache hours in advance through monitoring forehead EEG dynamics. The depression treatment screening system can predict the efficacy of rapid antidepressant agents. It is evident that frontal EEG activity is critically involved in sleep management, headache prevention, and depression treatment. The use of dry electrodes on the forehead allows for easy and rapid monitoring on an everyday basis. The advances in EEG recording and analysis ensure a promising future in support of personal healthcare solutions.
URI: http://dx.doi.org/10.1109/ACCESS.2017.2675884
http://hdl.handle.net/11536/145721
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2017.2675884
期刊: IEEE ACCESS
Volume: 5
起始頁: 10612
結束頁: 10621
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