TY - GEN
T1 - Characterization of Stimulation Artifact Behavior in Simultaneous Electrocorticography Grid Stimulation and Recording
AU - Lim, Jeffrey
AU - Wang, Po T.
AU - Bidhendi, Alireza K.
AU - Arasteh, Omid M.
AU - Shaw, Susan J.
AU - Armacost, Michelle
AU - Gong, Hui
AU - Liu, Charles Y.
AU - Heydari, Payam
AU - Do, An H.
AU - Nenadic, Zoran
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - Bi-directional brain-computer interfaces (BCIs) require simultaneous stimulation and recording to achieve closed-loop operation. It is therefore important that the interface be able to distinguish between neural signals of interest and stimulation artifacts. Current bi-directional BCIs address this problem by temporally multiplexing stimulation and recording. This approach, however, is suboptimal in many BCI applications. Alternative artifact mitigation methods can be devised by investigating the mechanics of artifact propagation. To characterize stimulation artifact behaviors, we collected and analyzed electrocorticography (ECoG) data from eloquent cortex mapping. Ratcheting and phase-locking of stimulation artifacts were observed, as well as dipole-like properties. Artifacts as large as ±1,100 μV appeared as far as 15-37 mm away from the stimulating channel when stimulating at 10 mA. Analysis also showed that the majority of the artifact power was concentrated at the stimulation pulse train frequency (50 Hz) and its super-harmonics (100, 150, 200 Hz). Lower frequencies (032 Hz) experienced minimal artifact contamination. These findings could inform the design of future bi-directional ECoG-based BCIs.
AB - Bi-directional brain-computer interfaces (BCIs) require simultaneous stimulation and recording to achieve closed-loop operation. It is therefore important that the interface be able to distinguish between neural signals of interest and stimulation artifacts. Current bi-directional BCIs address this problem by temporally multiplexing stimulation and recording. This approach, however, is suboptimal in many BCI applications. Alternative artifact mitigation methods can be devised by investigating the mechanics of artifact propagation. To characterize stimulation artifact behaviors, we collected and analyzed electrocorticography (ECoG) data from eloquent cortex mapping. Ratcheting and phase-locking of stimulation artifacts were observed, as well as dipole-like properties. Artifacts as large as ±1,100 μV appeared as far as 15-37 mm away from the stimulating channel when stimulating at 10 mA. Analysis also showed that the majority of the artifact power was concentrated at the stimulation pulse train frequency (50 Hz) and its super-harmonics (100, 150, 200 Hz). Lower frequencies (032 Hz) experienced minimal artifact contamination. These findings could inform the design of future bi-directional ECoG-based BCIs.
UR - http://www.scopus.com/inward/record.url?scp=85056575164&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056575164&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2018.8513216
DO - 10.1109/EMBC.2018.8513216
M3 - Conference contribution
C2 - 30441410
AN - SCOPUS:85056575164
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4748
EP - 4751
BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Y2 - 18 July 2018 through 21 July 2018
ER -