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. https://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 | ||||||||
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Additional Information: | © 2019 IEEE. Supported by National Science Foundation (Award # 1446908, 1646275). | ||||||||
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DOI: | 10.1109/NER.2019.8716961 | ||||||||
Record Number: | CaltechAUTHORS:20190523-142803960 | ||||||||
Persistent URL: | https://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: | 16 Nov 2021 17:15 |
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