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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Transactions on...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Transactions on Biomedical Engineering
Article . 2009 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2009
Data sources: DBLP
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Interference and Noise in Human Intracranial Microwire Recordings

Authors: Christopher K. Thorp; Peter N. Steinmetz;

Interference and Noise in Human Intracranial Microwire Recordings

Abstract

Human intracranial microwire recordings have typically had poor signal-to-noise ratios (SNRs), often below 10 dB. The physiological signal source is a fixed-amplitude one; thus, SNR must be improved by reducing either noise or interference. An understanding of the interference sources, how they are coupled to the recording system, and their relative magnitudes is needed to improve SNR. We measured potentially interfering sources in a controlled laboratory model of microwire recordings. Specifically considered were interference from power lines, fluorescent lights, radio transmitters, and other nearby electrical devices. In the presence of typical mismatches in impedance (100 kohm) and loop area (30 cm2), the greatest sources of interference are capacitive coupling to power lines (11.4 microV(rms)), capacitive coupling to fluorescent lights (9.7 microV(rms)), and nonpower line capacitive interference (8.6 microV(rms)). The model and techniques employed here to study human microwire recordings may also be applied to other neurophysiological recordings.

Related Organizations
Keywords

Neurons, Epilepsy, Brain, Electroencephalography, Signal Processing, Computer-Assisted, Equipment Design, Hospitals, Equipment Failure Analysis, Electromagnetic Fields, Humans, Microelectrodes

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
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