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논문 기본 정보

자료유형
학술저널
저자정보
Han-Sol Lee (Korea University) Kyeongho Eom (Korea University) Minju Park (Korea University) Seung-Beom Ku (Korea University) Kwonhong Lee (Korea University) Hyung-Min Lee (Korea Unuiversity)
저널정보
대한의용생체공학회 Biomedical Engineering Letters (BMEL) Biomedical Engineering Letters (BMEL) Vol.12 No.3
발행연도
2022.8
수록면
251 - 261 (11page)
DOI
https://doi.org/10.1007/s13534-022-00233-z

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Implantable medical devices capable of monitoring hundreds to thousands of electrodes have received great attention inbiomedical applications for understanding of the brain function and to treat brain diseases such as epilepsy, dystonia, andParkinson’s disease. Non-invasive neural recording modalities such as fMRI and EEGs were widely used since the 1960s,but to acquire better information, invasive modalities gained popularity. Since such invasive neural recording system requireshigh efficiency and low power operation, they have been implemented as integrated circuits. Many techniques have beendeveloped and applied when designing integrated high-density neural recording architecture for better performance, higherefficiency, and lower power consumption. This paper covers general knowledge of neural signals and frequently used neuralrecording architectures for monitoring neural activity. For neural recording architecture, various neural recording amplifierstructures are covered. In addition, several neural processing techniques, which can optimize the neural recording system,are also discussed.

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