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An implantable mixed-signal CMOS die for battery-powered in vivo blowfly neural recordings

Drakakis, E. M.; Krapp, H. G.; Huang, Jiaqi V.; Yue, Xicai

An implantable mixed-signal CMOS die for battery-powered in vivo blowfly neural recordings Thumbnail


Authors

E. M. Drakakis

H. G. Krapp

Jiaqi V. Huang

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Alex Yue Alex.Yue@uwe.ac.uk
Senior Lecturer in Bioinstrumentation and Sensor Interfacing



Abstract

© 2018 A mixed-signal die containing two differential input amplifiers, a multiplexer and a 50 KSPS, 10-bit SAR ADC, has been designed and fabricated in a 0.35 μm CMOS process for in vivo neural recording from freely moving blowflies where power supplied voltage drops quickly due to the space/weight limited insufficient capacity of the battery. The designed neural amplifier has a 66 + dB gain, 0.13 Hz-5.3 KHz bandwidth and 0.39% THD. A 20% power supply voltage drop causes only a 3% change in amplifier gain and 0.9-bit resolution degrading for SAR ADC while the on-chip data modulation reduces the chip size, rendering the designed chip suitable for battery-powered applications. The fabricated die occupies 1.1 mm2 while consuming 238 μW, being suitable for implantable neural recordings from insects as small as a blowfly for electrophysiological studies of their sensorimotor control mechanisms. The functionality of the die has been validated by recording the signals from identified interneurons in the blowfly visual system.

Citation

Yue, X., Drakakis, E. M., Krapp, H. G., & Huang, J. V. (2018). An implantable mixed-signal CMOS die for battery-powered in vivo blowfly neural recordings. Microelectronics Journal, 74, 34-42. https://doi.org/10.1016/j.mejo.2018.01.022

Journal Article Type Article
Acceptance Date Jan 25, 2018
Publication Date Apr 1, 2018
Deposit Date Feb 1, 2018
Publicly Available Date Feb 22, 2018
Journal Microelectronics Journal
Print ISSN 0026-2692
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 74
Pages 34-42
DOI https://doi.org/10.1016/j.mejo.2018.01.022
Keywords implantable neural recording, blowfly, CMOS neural amplifier, SAR ADC
Public URL https://uwe-repository.worktribe.com/output/876655
Publisher URL https://doi.org/10.1016/j.mejo.2018.01.022

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