@inproceedings{4006f0cd8a9049aaabf2084be06bf4d0,
title = "Dipole Cancellation as an Artifact Suppression Technique in Simultaneous Electrocorticography Stimulation and Recording",
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 \textasciitilde{}10\% of the primary stimulator's voltage.",
author = "Jeffrey Lim and Wang, \{Po T.\} and Haoran Pu and Liu, \{Charles Y.\} and Spencer Kellis and Andersen, \{Richard A.\} and Payam Heydari and Do, \{An H.\} and Zoran Nenadic",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 ; Conference date: 20-03-2019 Through 23-03-2019",
year = "2019",
month = may,
day = "16",
doi = "10.1109/NER.2019.8716961",
language = "English (US)",
series = "International IEEE/EMBS Conference on Neural Engineering, NER",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "725--729",
booktitle = "9th International IEEE EMBS Conference on Neural Engineering, NER 2019",
address = "United States",
}