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DyNeuMo Mk-2: an investigational circadian-locked neuromodulator with responsive stimulation for applied chronobiology

Title: DyNeuMo Mk-2: an investigational circadian-locked neuromodulator with responsive stimulation for applied chronobiology
Authors: Toth, R
Zamora, M
Ottaway, J
Gillbe, T
Martin, S
Benjaber, M
Lamb, G
Noone, T
Taylor, B
Deli, A
Kremen, V
Worrell, G
Constandinou, TG
Gillbe, I
De Wachter, S
Knowles, C
Sharott, A
Valentin, A
Green, AL
Denison, T
Item Type: Conference Paper
Abstract: Deep brain stimulation (DBS) for Parkinson's disease, essential tremor and epilepsy is an established palliative treatment. DBS uses electrical neuromodulation to suppress symptoms. Most current systems provide a continuous pattern of fixed stimulation, with clinical follow-ups to refine settings constrained to normal office hours. An issue with this management strategy is that the impact of stimulation on circadian, i.e. sleep-wake, rhythms is not fully considered; either in the device design or in the clinical follow-up. Since devices can be implanted in brain targets that couple into the reticular activating network, impact on wakefulness and sleep can be significant. This issue will likely grow as new targets are explored, with the potential to create entraining signals that are uncoupled from environmental influences. To address this issue, we have designed a new brain-machine-interface for DBS that combines a slow-adaptive circadian-based stimulation pattern with a fast-acting pathway for responsive stimulation, demonstrated here for seizure management. In preparation for first-in-human research trials to explore the utility of multi-timescale automated adaptive algorithms, design and prototyping was carried out in line with ISO risk management standards, ensuring patient safety. The ultimate aim is to account for chronobiology within the algorithms embedded in brain-machine-interfaces and in neuromodulation technology more broadly.
Issue Date: 14-Dec-2020
Date of Acceptance: 1-Jul-2020
URI: http://hdl.handle.net/10044/1/90612
DOI: 10.1109/SMC42975.2020.9283187
ISSN: 0884-3627
Publisher: IEEE
Start Page: 3433
End Page: 3440
Journal / Book Title: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Copyright Statement: © 2021 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. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Conference Name: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Keywords: Activity recognition
Adaptive control
Brain stimulation
Chronobiology
Circadian rhythm
Closed loop systems
Digital filters
Neural implants
Safety management
Activity recognition
Adaptive control
Brain stimulation
Chronobiology
Circadian rhythm
Closed loop systems
Digital filters
Neural implants
Safety management
Publication Status: Published
Start Date: 2020-10-11
Finish Date: 2020-10-14
Conference Place: Toronto, ON, Canada
Online Publication Date: 2020-10-10
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering