A  2.7μW 10b 640kS/s time-based A/D converter for implantable neural recording interface

A. Zjajo; Santosh Astigimath; R. van Leuken

doi:10.1109/iscas.2016.7527430

A 2.7μW 10b 640kS/s time-based A/D converter for implantable neural recording interface

A. Zjajo, Santosh Astigimath, R. van Leuken

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a time-based, programmable-gain A/D converter allowing for an easily-scalable, and power-efficient, implantable, biomedical recording system. The converter circuit is realized in a 90 nm CMOS technology, operates at 640 kS/s, occupy an area of 0.022 mm2, and consumes less than 2.7 μW corresponding to a figure of merit of 6.2 fJ/conversion-step.

Original language	English
Title of host publication	2016 IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
Pages	1074-1077
Number of pages	4
ISBN (Electronic)	978-1-4799-5341-7
ISBN (Print)	978-1-4799-5342-4
DOIs	https://doi.org/10.1109/iscas.2016.7527430
Publication status	Published - 11 Aug 2016
Event	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016: IEEE International Symposium on Circuits and Systems - Montreal, Canada Duration: 22 May 2016 → 25 May 2016 http://iscas2016.org/

Conference

Conference	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Abbreviated title	ISCAS
Country/Territory	Canada
City	Montreal
Period	22/05/16 → 25/05/16
Internet address	http://iscas2016.org/

Keywords

A/D converter
neural recording interface
time-based signal processing

Access to Document

10.1109/iscas.2016.7527430

Cite this

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title = "A 2.7μW 10b 640kS/s time-based A/D converter for implantable neural recording interface",

abstract = "In this paper, we propose a time-based, programmable-gain A/D converter allowing for an easily-scalable, and power-efficient, implantable, biomedical recording system. The converter circuit is realized in a 90 nm CMOS technology, operates at 640 kS/s, occupy an area of 0.022 mm2, and consumes less than 2.7 μW corresponding to a figure of merit of 6.2 fJ/conversion-step.",

keywords = "A/D converter, neural recording interface, time-based signal processing",

author = "A. Zjajo and Santosh Astigimath and Leuken, \{R. van\}",

year = "2016",

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doi = "10.1109/iscas.2016.7527430",

language = "English",

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pages = "1074--1077",

booktitle = "2016 IEEE International Symposium on Circuits and Systems (ISCAS)",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 : IEEE International Symposium on Circuits and Systems, ISCAS ; Conference date: 22-05-2016 Through 25-05-2016",

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T1 - A 2.7μW 10b 640kS/s time-based A/D converter for implantable neural recording interface

AU - Zjajo, A.

AU - Astigimath, Santosh

AU - Leuken, R. van

PY - 2016/8/11

Y1 - 2016/8/11

N2 - In this paper, we propose a time-based, programmable-gain A/D converter allowing for an easily-scalable, and power-efficient, implantable, biomedical recording system. The converter circuit is realized in a 90 nm CMOS technology, operates at 640 kS/s, occupy an area of 0.022 mm2, and consumes less than 2.7 μW corresponding to a figure of merit of 6.2 fJ/conversion-step.

AB - In this paper, we propose a time-based, programmable-gain A/D converter allowing for an easily-scalable, and power-efficient, implantable, biomedical recording system. The converter circuit is realized in a 90 nm CMOS technology, operates at 640 kS/s, occupy an area of 0.022 mm2, and consumes less than 2.7 μW corresponding to a figure of merit of 6.2 fJ/conversion-step.

KW - A/D converter

KW - neural recording interface

KW - time-based signal processing

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DO - 10.1109/iscas.2016.7527430

M3 - Conference contribution

SN - 978-1-4799-5342-4

SP - 1074

EP - 1077

BT - 2016 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - IEEE

T2 - 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016

Y2 - 22 May 2016 through 25 May 2016

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