DocumentCode
880017
Title
Interference and Noise in Human Intracranial Microwire Recordings
Author
Thorp, Christopher K. ; Steinmetz, Peter N.
Author_Institution
Devicix, LLC, Eden Prairie, MN
Volume
56
Issue
1
fYear
2009
Firstpage
30
Lastpage
36
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 kOmega) and loop area (30 cm2), the greatest sources of interference are capacitive coupling to power lines (11.4 muVrms), capacitive coupling to fluorescent lights (9.7 muVrms), and nonpower line capacitive interference (8.6 muVrms). The model and techniques employed here to study human microwire recordings may also be applied to other neurophysiological recordings.
Keywords
interference (signal); medical signal processing; neurophysiology; capacitive coupling; fluorescent lights; human intracranial microwire recordings; impedance; interference; neurophysiological recordings; noise; power lines; radio transmitters; resistance 100 kohm; voltage 11.4 muV; voltage 8.6 muV; voltage 9.7 muV; Fluorescence; Humans; Impedance; Interference; Laboratories; Noise reduction; Optical coupling; Power system modeling; Radio transmitters; Signal to noise ratio; Biomedical recording; electromagnetic interference; human neurophysiology; microelectrodes; Brain; Electroencephalography; Electromagnetic Fields; Epilepsy; Equipment Design; Equipment Failure Analysis; Hospitals; Humans; Microelectrodes; Neurons; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2008.2006009
Filename
4637864
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