Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography
Publication
, Journal Article
Wu, H; Alagapan, S; Frohlich, F; Shin, HW
Published in: Journal of Neural Engineering
Duke Scholars
Published In
Journal of Neural Engineering
ISSN
1741-2560
Publisher
IOP Publishing
Related Subject Headings
- Mathematical Concepts
- Humans
- Electroencephalography
- Electrodes, Implanted
- Electric Stimulation
- Brain
- Biomedical Engineering
- Artifacts
- Algorithms
- 4003 Biomedical engineering
Citation
APA
Chicago
ICMJE
MLA
NLM
Wu, H., Alagapan, S., Frohlich, F., & Shin, H. W. (n.d.). Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography. Journal of Neural Engineering.
Wu, H., Sankar Alagapan, Flavio Frohlich, and Hae Won Shin. “Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography.” Journal of Neural Engineering, n.d.
Wu H, Alagapan S, Frohlich F, Shin HW. Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography. Journal of Neural Engineering.
Wu, H., et al. “Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography.” Journal of Neural Engineering, IOP Publishing.
Wu H, Alagapan S, Frohlich F, Shin HW. Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography. Journal of Neural Engineering. IOP Publishing;
Published In
Journal of Neural Engineering
ISSN
1741-2560
Publisher
IOP Publishing
Related Subject Headings
- Mathematical Concepts
- Humans
- Electroencephalography
- Electrodes, Implanted
- Electric Stimulation
- Brain
- Biomedical Engineering
- Artifacts
- Algorithms
- 4003 Biomedical engineering