Energy Efficient Quaternary Capacitive DAC Switching Scheme for SAR -ADC

Authors

  • Sarvesh S. Chavhan Electronics Engineering Department, PCE Nagpur, India
  • K. M. Bogawar Electronics EngineeringDepartment, PCE Nagpur, India

DOI:

https://doi.org/10.53555/nneee.v2i6.191

Keywords:

Neural System, Brain Machine Interface, Switching Scheme, Capacitive DAC, Quaternary Capacitive Switching Scheme, AR-Logic Module, Successive Approximation Registers Analog to Digital Converter, ( SARADC)

Abstract

This paper presents energy efficient 4-bit successive approximation register analog to digital converter (SAR-ADC) for neural recording front end interface of neural prosthetic system(Brain machine interface). The energy efficient quaternary capacitive switching scheme (QCS) in the implementation of capacitive digital to analog converter (C-DAC) is employed which makes the energy consumption in the C-DAC independent of the output digital code. The proposed quaternary capacitive technique in C-DAC achieves a 50% reduction in the average energy consumption. The design is implemented in 0.25um standard complementary metal-oxide semiconductor technology (CMOS).

References

K. Chen, Z. Yang, L. Hoang, J. Weiland, M. Humayun, and W. Liu, “An Integrated 256-Channel Epiretinal Prosthesis,” Solid-State Circuits, IEEE Journalof, vol. 45, no. 9, pp. 1946 –1956, sept. 2010.

J. Fayad, S. Otto, R. Shannon, and D. Brackmann, “Cochlear and BrainstemAuditory Prostheses ”Neural Interface for Hearing

Restoration: Cochlear and Brain Stem Implants”,” Proceedings of the IEEE, vol. 96, no. 7, pp. 1085 –1095, july 2008.

J. He, C. Ma, and R. Herman, “Engineering Neural Interfaces for Rehabilitationof Lower Limb Function in Spinal Cord Injured,”

Proceedings of the IEEE, vol. 96, no. 7, pp. 1152 –1166, july 2008.

M. Liker, D. Won, V. Rao, and S. Hua, “Deep Brain Stimulation: An Evolving Technology,” Proceedings of the IEEE, vol. 96, no. 7, pp.

–1141, july 2008.

A. Amar, M. Levy, C. Liu, and M. Apuzzo, “Vagus Nerve Stimulation,” Pro- ceedings of the IEEE, vol. 96, no. 7, pp. 1142 –1151, july 2008.

M. Azin, D. Guggenmos, S. Barbay, R. Nudo, and P. Mohseni, “A batterypowered activity-dependent intracortical microstimulation IC for brain machine- brain interface,” Solid-State Circuits, IEEE Journal of, vol. 46, no. 4, pp. 731 –745, april 2011.

U. Frey, F. Heer, R. Pedron, S. Hafizovic, F. Greve, J. Sedivy, K.-U. Kirstein,and A. Hierlemann, “An 11k-electrode 126-channel high-density microelectrode array to interact with electrogenic cells,” in Solid-State Circuits Confer-ence, 2007. ISSCC 2007. Digest of

Technical Papers. IEEE International, feb. 2007, pp. 158 –593.

B. Ginsburg and A. Chandrakasan, “An energy-efficient charge recycling approachfor a SAR converter with capacitive DAC,” in

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on, may 2005, pp. 184 –187 Vol. 1.

Y. Zhu, C.-H. Chan, U.-F. Chio, S.-W. Sin, S.-P. U, R.Martins, and F.Maloberti, “A 10-bit 100-MS/s reference-free SAR ADC in 90 nm

CMOS,” Solid-State Circuits, IEEE Journal of, vol. 45, no. 6, pp. 1111 –1121, june 2010.

T. Anand, V. Chaturvedi, and B. Amrutur, “Energy efficient asymmetric binary search switching technique for SAR ADC,” Electronics Letters, vol. 46, no. 22, pp. 1487 –1488, 28 2010.

Vikram Chaturvedi, Tejasvi Anand, and Bharadwaj Amrutur, “An 8-to-1 bit 1-MS/s SAR ADC With VGA and Integrated Data Compression for Neural Recording,” IEEE Transactions on Very Large Scale Integration (VLSI), vol. 21, no. 11, November 2013.

Farzaneh Shahrokhi, Karim Abdelhalim, Demitre Serletis, Peter L. Carlen, and Roman Genov, “The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface,” IEEE Transaction on Biomedical circuits and System, vol. 4, no. 3, June 2010.

Downloads

Published

2015-06-30

How to Cite

Chavhan, S. S. ., & Bogawar, K. M. . (2015). Energy Efficient Quaternary Capacitive DAC Switching Scheme for SAR -ADC. Journal of Advance Research in Electrical & Electronics Engineering (ISSN 2208-2395), 2(6), 13-18. https://doi.org/10.53555/nneee.v2i6.191