System on chip for closed loop neuromodulation based on dual mode biosignals
File(s)
Accepted version
Author(s)
Mirza, Khalid B
Kulasekeram, Nishanth
Liu, Yan
Nikolic, Konstantin
Toumazou, Christofer
Type
Conference Paper
Abstract
Closed loop neuromodulation, where the stimulation is controlled autonomously based on physiological events, has been more effective than open loop techniques. In the few existing closed loop implementations which have a feedback, indirect non-neurophysiological biomarkers have been typically used (e.g. heart rate, stomach distension). Although these biomarkers enable automatic initiation of neural stimulation, they do not enable intelligent control of stimulation dosage. In this paper, we present a novel closed loop neuromodulation System-on-Chip (SoC) based on a dual signal mode that is detecting both electrical and chemical signatures of neural activity. We use vagus nerve stimulation (VNS) as a design case here. Vagal chemical (pH) signal is detected and used for initiating VNS and vagal compound nerve action potential (CNAP) signals are used to determine the stimulation dosage and pattern. Although we used the paradigm of appetite control and neurometabolic therapies for developing the algorithms for neurostimulation control, the SoC described here can be utilised for other types of closed loop neuromodulation implants.
Date Issued
2019-05-26
Date Acceptance
2019-05-01
Citation
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
ISBN
9781728103976
ISSN
2158-1525
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Journal / Book Title
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Copyright Statement
© 2019 IEEE.
Sponsor
European Research Council
Grant Number
319818
Source
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Publication Status
Published
Start Date
2019-05-26
Finish Date
2019-05-29
Date Publish Online
2019-05-01