2-Channel Electroencephalography Sensor Frontend for Portable Health Condition Monitoring Applications
- Authors
- Hoseini, Zaniar; Lee, Kye-Shin; Chung, Hae; Song, Young-Joon
- Issue Date
- Jun-2017
- Publisher
- AMER SCIENTIFIC PUBLISHERS
- Keywords
- EEG Amplifier; EEG Sensor Frontend; Health Condition Monitoring; Low Power; Small Core Area
- Citation
- JOURNAL OF LOW POWER ELECTRONICS, v.13, no.2, pp 240 - 248
- Pages
- 9
- Journal Title
- JOURNAL OF LOW POWER ELECTRONICS
- Volume
- 13
- Number
- 2
- Start Page
- 240
- End Page
- 248
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/22556
- DOI
- 10.1166/jolpe.2017.1484
- ISSN
- 1546-1998
1546-2005
- Abstract
- This work presents a 2-channel electroencephalography (EEG) sensor frontend for portable health condition monitoring applications. The proposed scheme includes a compact and low power voltage mode EEG amplifier, successive approximation (SAR) analog-to-digital converter (ADC) with serial peripheral interface (SPI), where it can be easily installed in a safety helmet without giving much discomfort to the human subject. The EEG amplifier is implemented using CMOS 0.18 mu m technology with 1.8 V supply. The measurement results per amplifier channel showed power consumption of 540 nW, input referred noise of 6.27 mu V-rms within the bandwidth from 0.45 Hz to 250 Hz, and core area of 0.0198 mm(2). Furthermore, the EEG frontend operation is demonstrated with an actual EEG measurement setup, where the EEG signals are obtained from three different human subjects.
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Collections - School of Electronic Engineering > 1. Journal Articles
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