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Proceedings Paper

Flexible polyimide based 34-channel electrode arrays for mouse EEG measurement
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Paper Abstract

Electroencephalogram (EEG) recording is a widely used method to measure electrical activity in the brain. Rodent EEG brain recording not only is noninvasive but also has the advantages to accomplish full brain monitoring, compared with that of the invasive techniques like micro-electrode-arrays. In comparison to other noninvasive recording techniques, EEG is the only technique that can achieve sub-ms scale time resolution, which is essential to obtain causal relationship. In this work, we demonstrated a simple microfabrication process for developing a high-density polyimide-based rodent EEG recording cap. A 34-channel rodent electrode array with a total size of 11mmx8mm, individual electrode diameter 240μm and interconnect wire linewidth 35μm was designed and fabricated. For the fabrication process, we first deposit 350nm SiO2 on a silicon substrate. We then fabricate 6-7μm thick first layer polyimide caps with fingers and contact holes. Gold deposition and then lithography etching of 34 channel contact-electrodes and their interconnects were fabricated in the second step. The third step was to cover metal interconnects with a 10μm thick second layer polyimide, which was fabricated with photolithography before the final film released by HF undercutting etching of SiO2 layer. Then the fabricated EEG cap is interfaced with a commercial 34-channel female connector, which is soldered with 34-line wires. These wires are then connected to an ADC to record the EEG data in computer for post-processing. With polyimide, the EEG cap is biocompatible, and flexible which makes it suitable for good contact with rodent skulls.

Paper Details

Date Published: 2 May 2019
PDF: 8 pages
Proc. SPIE 11020, Smart Biomedical and Physiological Sensor Technology XVI, 110200T (2 May 2019); doi: 10.1117/12.2518830
Show Author Affiliations
Fatima Nafisa Chowdhury, Univ. of Maryland, Baltimore County (United States)
Rachit Sood, Univ. of Maryland, Baltimore County (United States)
Hyungwoo Nam, Univ. of Maryland, Baltimore (United States)
Mary Kay Lobo, Univ. of Maryland, Baltimore (United States)
Fow-Sen Choa, Univ. of Maryland, Baltimore County (United States)

Published in SPIE Proceedings Vol. 11020:
Smart Biomedical and Physiological Sensor Technology XVI
Brian M. Cullum; Douglas Kiehl; Eric S. McLamore, Editor(s)

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