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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국과학기술원 정보전자연구소 IDEC Journal of Integrated Circuits and Systems IDEC Journal of Integrated Circuits and Systems Vol.7 No.2
- 발행연도
- 2021.1
- 수록면
- 12 - 16 (5page)
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초록· 키워드
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In this study, a 32-channel low-power neural recording system was developed to analyze neural activity. Neural activity recording systems play an important role in neurosciences as well as the development of neuroprosthetic devices to treat neurological diseases and assist in recovery from disabilities. For example, monitoring neural signals allows prediction of the behaviors of paralyzed patients or explanation for the causality between behavior and neural activity. A conventional recording system with an integrated circuit has several limitations in terms of noise and power consumption. Herein, we propose a 32-channel low-power fully implantable neural signal recording system; a low-noise amplifier, a lowpass filter, an analog multiplexer, and a shift register were designed for the system. The experimental results highlight the low noise and adequate frequency response of the system. Further, in the experiments, ECG signals with magnitudes of up to 100 µV could be detected clearly. For the 32-channel neural recording system, a low supply voltage of only 1.2 V is needed, and the total power consumption is 60 µW, with a total gain of 58 dB and input referred noise of 3 µVrms. The bandwidth of the system is 2–300 Hz for measuring target ECoG signals. The system was designed with a standard 0.18 µm CMOS technology to measure neural signals while maintaining very low power consumption.
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참고문헌 (10)
참고문헌 신청
M. Mollazadeh. / 2011 / Wireless Micro ECoG Recording in Primates during Reach to Grasp Movements / 2011 IEEE Biomedical Circuits and System Conference (BioCAS) :237~240
G. Charvet / 2013 / WIMAGINE, 64-channel ECoG recording implant for human application / IEEE Engineering in Medicine and Biology Society Conference 2013 23(1):10~21
C. S. Mestais / 2015 / WIMAGINE : wireless 64-channel ECoG recording implant for long term clinical applications / IEEE Trans. Neural Syst. Rehabil Eng 23(1):10~21
W. Wattanapanitch / 2007 / An energy-efficient micropower neural recording amplifier / IEEE Trans. Biomed Circuits Syst. 1(2):136~147
R. R. Harrison / 2008 / The Design of Integrated Circuits to Observe Brain Activity / Proceedings of the IEEE 96(7):1203~1216
G. Charvet / 2013 / WIMAGINE, 64-channel ECoG recording implant for human application / IEEE Engineering in Medicine and Biology Society Conference 2013 23(1):10~21
C. S. Mestais / 2015 / WIMAGINE : wireless 64-channel ECoG recording implant for long term clinical applications / IEEE Trans. Neural Syst. Rehabil Eng 23(1):10~21
W. Wattanapanitch / 2007 / An energy-efficient micropower neural recording amplifier / IEEE Trans. Biomed Circuits Syst. 1(2):136~147
R. R. Harrison / 2008 / The Design of Integrated Circuits to Observe Brain Activity / Proceedings of the IEEE 96(7):1203~1216
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