An ultra-wideband-inspired system-on-chip for an optical bidirectional transcutaneous biotelemetry
File(s)BioCAS_2018_Opto_UWB_SoC_Submitted.pdf (3.19 MB)
Submitted version
Author(s)
De Marcellis, Andrea
Di Patrizio Stanchieri, Guido
Palange, Elia
Faccio, Marco
Constandinou, TG
Type
Conference Paper
Abstract
This paper describes an integrated communication
system, implementing a UWB-inspired pulsed coding technique,
for an optical transcutaneous biotelemetry. The system consists
of both a transmitter and a receiver facilitating a bidirectional
link. The transmitter includes a digital data coding circuit and is
capable of generating sub-nanosecond current pulses and directly
driving an off-chip semiconductor laser diode including all bias
and drive circuits. The receiver includes an integrated compact
PN-junction photodiode together with signal conditioning, de-
tection and digital data decoding circuits to enable a high bit
rate, energy efficient communication. The proposed solution has
been implemented in a commercially available 0.35
μ
m CMOS
technology provided by AMS. The circuit core occupies a compact
silicon footprint of less than 0.13 mm
2
(only 113 transistors and
1 resistor). Post-layout simulations have validated the overall
system operation demonstrating the ability to operate at bit rates
up to 500 Mbps with pulse widths of 300 ps with a total power
efficiency (transmitter + receiver) lower than 74 pJ/bit. This
makes the system ideally suited for demanding applications that
require high bit rates at extremely low energy levels. One such
application is implantable brain machine interfaces requiring
high uplink bitrates to transmit recorded data externally through
a transcutaneous communication channel.
system, implementing a UWB-inspired pulsed coding technique,
for an optical transcutaneous biotelemetry. The system consists
of both a transmitter and a receiver facilitating a bidirectional
link. The transmitter includes a digital data coding circuit and is
capable of generating sub-nanosecond current pulses and directly
driving an off-chip semiconductor laser diode including all bias
and drive circuits. The receiver includes an integrated compact
PN-junction photodiode together with signal conditioning, de-
tection and digital data decoding circuits to enable a high bit
rate, energy efficient communication. The proposed solution has
been implemented in a commercially available 0.35
μ
m CMOS
technology provided by AMS. The circuit core occupies a compact
silicon footprint of less than 0.13 mm
2
(only 113 transistors and
1 resistor). Post-layout simulations have validated the overall
system operation demonstrating the ability to operate at bit rates
up to 500 Mbps with pulse widths of 300 ps with a total power
efficiency (transmitter + receiver) lower than 74 pJ/bit. This
makes the system ideally suited for demanding applications that
require high bit rates at extremely low energy levels. One such
application is implantable brain machine interfaces requiring
high uplink bitrates to transmit recorded data externally through
a transcutaneous communication channel.
Date Issued
2018-12-24
Date Acceptance
2018-08-13
Citation
2018, pp.351-354
Publisher
IEEE
Start Page
351
End Page
354
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/8584822
Grant Number
EP/M020975/1
Source
IEEE Biomedical Circuits and Systems (BioCAS) Conference 2018
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Engineering
RANGE
Publication Status
Published
Start Date
2018-10-17
Finish Date
2018-10-19
Coverage Spatial
Cleveland, Ohio, USA
Date Publish Online
2018-12-24