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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한의용생체공학회 Biomedical Engineering Letters (BMEL) Biomedical Engineering Letters (BMEL) Vol.12 No.3
- 발행연도
- 2022.8
- 수록면
- 239 - 250 (12page)
- DOI
- https://doi.org/10.1007/s13534-022-00232-0
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초록· 키워드
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As more people desire at-home diagnosis and treatment for their health improvement, healthcare devices have become morewearable, comfortable, and easy to use. In that sense, the miniaturization of electroencephalography (EEG) systems is amajor challenge for developing daily-life healthcare devices. Recently, because of the intertwined relationship between EEGrecording and processing, co-research of EEG recording hardware and data processing has been emphasized for whole-in-oneminiaturized EEG systems. This paper introduces miniaturization techniques in analog-front-end hardware and processingalgorithms for such EEG systems. To miniaturize EEG recording hardware, various types of compact electrodes and mmsizedintegrated circuits (IC) techniques including artifact rejection are studied to record accurate EEG signals in a muchsmaller manner. Active electrode and in-ear EEG technologies are also researched to make small-form-factor EEG measurementstructures. Furthermore, miniaturization techniques for EEG processing are discussed including channel selectiontechniques that reduce the number of required electrode channel and hardware implementation of processing algorithmsthat simplify the EEG processing stage.
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