@inproceedings{cd027955757d45e89641bcc6b78b5c23,
title = "Wearable electroencephalogram signal detection with dry metal electrodes",
abstract = "The major of this paper is a wearable Electroencephalogram (EEG) signal detection with dry metal electrodes. It includes following characteristics: low cost, compact size, wearable object, and comfortable sensation. The proposed device employs the embedded microcontroller to be in charge of whole system. The EEG analog front-end circuit of our proposition is based on CMOS operational amplifiers (OPA) that are applied to construct an instrumentation amplifier (IA), high-pass filters (HPF), low-pass filters (LPF), a middle-amplifier, a post-amplifier and biases. A Bluetooth wireless communication module is applied for data communications. We develop a simple demo application software to display real-time EEG waveform or real-time EEG features on Android platforms.",
keywords = "Android Platform, Bluetooth, Dry Metal Electrodes, Electroencephalogram (EEG), Embedded System",
author = "Hsu, {Temg Ren} and Terng-Yin Hsu and Huang, {Wei Hsin} and Fan, {Ching Chih}",
year = "2018",
month = jan,
day = "12",
doi = "10.1109/IMPACT.2017.8255960",
language = "English",
series = "Proceedings of Technical Papers - International Microsystems, Packaging, Assembly, and Circuits Technology Conference, IMPACT",
publisher = "IEEE Computer Society",
pages = "311--314",
booktitle = "IMPACT 2017 - 12th International Microsystems, Packaging, Assembly and Circuits Technology Conference, Proceedings",
address = "United States",
note = "12th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2017 ; Conference date: 25-10-2017 Through 27-10-2017",
}