Design considerations for ground referencing in multi-module neural implants
File(s)2018_BioCAS_Grounding Submitted.pdf (4.09 MB)
Submitted version
Author(s)
Haci, Dorian
Liu, Yan
Ghoreishizadeh, Sara
Constandinou, TG
Type
Conference Paper
Abstract
Implantable neural interfaces have evolved in the
past decades from stimulation-only devices to closed-loop record-
ing and stimulation systems, allowing both for more targeted
therapeutic techniques and more advanced prosthetic implants.
Emerging applications require multi-module active implantable
devices with intrabody power and data transmission. This
distributed approach poses a new set of challenges related
to inter-module connectivity, functional reliability and patient
safety. This paper addresses the ground referencing challenge in
active multi-implant systems, with a particular focus on neural
recording devices. Three different grounding schemes (passive,
drive, and sense) are presented and evaluated in terms of both
recording reliability and patient safety. Considerations on the
practical implementation of body potential referencing circuitry
are finally discussed, with a detailed analysis of their impact on
the recording performance.
past decades from stimulation-only devices to closed-loop record-
ing and stimulation systems, allowing both for more targeted
therapeutic techniques and more advanced prosthetic implants.
Emerging applications require multi-module active implantable
devices with intrabody power and data transmission. This
distributed approach poses a new set of challenges related
to inter-module connectivity, functional reliability and patient
safety. This paper addresses the ground referencing challenge in
active multi-implant systems, with a particular focus on neural
recording devices. Three different grounding schemes (passive,
drive, and sense) are presented and evaluated in terms of both
recording reliability and patient safety. Considerations on the
practical implementation of body potential referencing circuitry
are finally discussed, with a detailed analysis of their impact on
the recording performance.
Date Issued
2018-12-24
Date Acceptance
2018-08-13
Citation
2018, pp.563-566
Publisher
IEEE
Start Page
563
End Page
566
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
Wellcome Trust
Identifier
https://ieeexplore.ieee.org/document/8584708
Grant Number
BH134389
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
Publication Status
Published
Start Date
2018-10-17
Finish Date
2018-10-19
Coverage Spatial
Cleveland, Ohio, USA
Date Publish Online
2018-12-24