Mobile QR Code QR CODE

“JSTS has been indexed and abstracted in the SCIE (Science Citation Index Expanded) since Volume 9, Issue 1 in 2009. Furthermore, it continues to maintain its listing in the SCOPUS database and is recognized as a regular journal by the Korea Research Foundation.

※ The user interface design of www.jsts.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2022-10 (Vol.22 No.05)
  4. 10.5573/JSTS.2022.22.5.368
XML PDF INFO REF

References

1 
Liu Y., et al. , Spring 2020, Bidirectional Bioelectronic interfaces, IEEE Solid-State Circuits Mag., pp. 30-46DOI
2 
Harrison R. R., Charles C., Jun. 2003, A low-power low-noise CMOS amplifier for neural recording applications, IEEE J. of Solid-State Circuits, Vol. 38, No. 6, pp. 958-965DOI
3 
Kim H. S., Cha H.-K., Aug. 2018, An ultra low-power low-noise neural recording analog front-end IC for implantable devices, J. of Semiconductor Technology and Science, Vol. 18, No. 4, pp. 454-460DOI
4 
Tran L., Cha H.-K., Jan. 2021, An ultra-low-power neural signal acquisition analog front-end IC, Micro-electronics Journal, Vol. 107DOI
5 
Chandrakumar H., 2017, An 80-mVpp linear-input range, 1.6-G${\Omega}$ Input ompedance, low-power chopper amplifier for closed-loop neural recording that is tolerant to 650-mVpp common-mode interference, IEEE J. of Solid-State Circuits, pp. 1-18DOI
6 
Perez-Prieto N., et al. , May. 2019, Artifact-aware analogue/ mixed-signal front-ends for neural recording applications, in IEEE Intl. Symp. Circuits and Systems (ISCAS)DOI
7 
Luo D., et al. , Dec. 2020, Design of a low noise bio-potential recorder with high tolerance to power-line interference under 0.8 V power supply, IEEE Trans. on Biomedical Circuits, Systems, Vol. 14, No. 6, pp. 1421-1430DOI
8 
Son J.-Y., Cha H.-K., 2020, An implantable neural stimulator IC with anodic current pulse modulation based active charge balancing, IEEE Access, Vol. 8, pp. 136449-136458DOI
9 
Denison T., et al. , Dec. 2007, A 2 ${\mu}$W 100 nV/rtHz chopper-stabilized instrumentation amplifier for chronic measurement of neural field potentials, IEEE J. Solid-State Circuits, Vol. 42, No. 12, pp. 2934-2945Google Search
10 
Wattanapanitch W., et al. , Jun. 2007, An energy-efficient micropower neural recording amplifier, IEEE Trans. on Biomedical Circuits and Systems, Vol. 1, No. 2, pp. 136-147DOI
11 
Shen L., Lu N., Sun N., March. 2018, A 1-V 0.25-${\mu}$W inverter stacking amplifier with 1.07 noise efficiency factor, IEEE J. of Solid-State Circuits, Vol. 53, No. 3, pp. 896-905DOI
12 
J.-C Chung , et al. , May. 2015, An 8-channel power-efficient time-constant-enhanced analog front-end amplifier for neural signal acquisition, in IEEE Intl. Symp. Circuits and Systems (ISCAS)DOI
13 
Steyaert M. S. J., Sansen W. M. C., Zhongyuan C., Dec. 1987, A micropower low-noise monolithic instrumentation amplifier for medical purposes, IEEE J. Solid-State Circuits, Vol. SC-22, pp. 1163-1168DOI
14 
Lee H.-S., et al. , 2020, A multi-channel neural recording system with adaptive electrode selection for high-density neural interface, in IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4306-4309DOI
15 
Fujisawa S., et al. , 2015, Simultaneous electro-physiological recordings of ensembles of isolated neurons in rat medial prefrontal cortex and intermediate CA1 area of the hippocampus during a working memory task, CRCNS, Vol. 10, pp. K01V5BWKGoogle Search
16 
Rezaei M., et al. , Apr. 2018, A low-power current-reuse analog front-end for high-density neural recording implants, IEEE Trans. on Biomedical Circuits and Systems, Vol. 12, No. 2, pp. 271-280DOI