Removal of Electrocardiogram Artifacts From Local Field Potentials Recorded by Sensing-Enabled Neurostimulator

Sensing-enabled neurostimulators are an advanced technology for chronic observation of brain activities, and show great potential for closed-loop neuromodulation and as implantable brain-computer interfaces. However, local field potentials (LFPs) recorded by sensing-enabled neurostimulators can be c...

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Published inFrontiers in neuroscience Vol. 15; p. 637274
Main Authors Chen, Yue, Ma, Bozhi, Hao, Hongwei, Li, Luming
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 12.04.2021
Frontiers Media S.A
Subjects
ECG
EKG
Electrocardiography
Electrodes
Interfaces
local field potential
Methods
Neuromodulation
Neuroscience
removal
sensing-enabled neurostimulator
Titanium
Beijing China
artifact
ECG
removal
local field potential
sensing-enabled neurostimulator
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Summary:Sensing-enabled neurostimulators are an advanced technology for chronic observation of brain activities, and show great potential for closed-loop neuromodulation and as implantable brain-computer interfaces. However, local field potentials (LFPs) recorded by sensing-enabled neurostimulators can be contaminated by electrocardiogram (ECG) signals due to complex recording conditions and limited common-mode-rejection-ratio (CMRR). In this study, we propose a solution for removing such ECG artifacts from local field potentials (LFPs) recorded by a sensing-enabled neurostimulator. A synchronized monopolar channel was added as an ECG reference, and two pre-existing methods, i.e., template subtraction and adaptive filtering, were then applied. ECG artifacts were successfully removed and the performance of the method was insensitive to residual stimulation artifacts. This approach to removal of ECG artifacts broadens the range of applications of sensing-enabled neurostimulators.
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This article was submitted to Autonomic Neuroscience, a section of the journal Frontiers in Neuroscience
Edited by: Valdir Andrade Braga, Federal University of Paraíba, Brazil
Reviewed by: Timothy Denison, University of Oxford, United Kingdom; Ali Moin, University of California, Berkeley, United States
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2021.637274