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Dipole Cancellation as an Artifact Suppression Technique in Simultaneous Electrocorticography Stimulation and Recording

Lim, Jeffrey and Wang, Po T. and Pu, Haoran and Liu, Charles Y. and Kellis, Spencer and Andersen, Richard A. and Heydari, Payam and Do, An H. and Nenadic, Zoran (2019) Dipole Cancellation as an Artifact Suppression Technique in Simultaneous Electrocorticography Stimulation and Recording. In: 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE , Piscataway, NJ, pp. 725-729. ISBN 9781538679210. http://resolver.caltech.edu/CaltechAUTHORS:20190523-142803960

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Abstract

Fully-implantable, bi-directional brain-computer interfaces (BCIs) necessitate simultaneous cortical recording and stimulation. This is challenging since electrostimulation of cortical tissue typically causes strong artifacts that may saturate ultra-low power (ULP) analog front-ends of fully-implantable BCIs. To address this problem, we propose an efficient hardware-based method for artifact suppression that employs an auxiliary stimulator with polarity opposite to that of the primary stimulator. The feasibility of this method was explored first in simulations, and then experimentally with brain phantom tissue and electrocorticogram (ECoG) electrode grids. We find that the canceling stimulator can reduce stimulation artifacts below the saturation limit of a typical ULP front-end, while delivering only ~10% of the primary stimulator’s voltage.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/NER.2019.8716961DOIArticle
ORCID:
AuthorORCID
Kellis, Spencer0000-0002-5158-1058
Andersen, Richard A.0000-0002-7947-0472
Additional Information:© 2019 IEEE. Supported by National Science Foundation (Award # 1446908, 1646275).
Funders:
Funding AgencyGrant Number
NSFCNS-1446908
NSFCNS-1646275
Record Number:CaltechAUTHORS:20190523-142803960
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190523-142803960
Official Citation:J. Lim et al., "Dipole Cancellation as an Artifact Suppression Technique in Simultaneous Electrocorticography Stimulation and Recording," 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, CA, USA, 2019, pp. 725-729. doi: 10.1109/NER.2019.8716961
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95767
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:23 May 2019 21:44
Last Modified:23 May 2019 21:44

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