TY - GEN
T1 - Minimally invasive intracranial pressure monitoring
T2 - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017
AU - Garich, Jonathan
AU - Fritz, Nicholas
AU - Kullman, Dixie
AU - Munoz, Jesse
AU - Blain Christen, Jennifer
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by the National Science Foundation under Grant No. ECCS:1554690, CAREER: Adapting Flexible Display Technology for Optogenetic Peripheral Nerve Stimulation. All experiments were conducted under protocol 15-1420R approved by the Institutional Animal Care and Use Committee (IACUC). We thank Jacquelyn Kilbourne, Veterinary Technical Supervisor, for her role in training and providing surgical advice.
Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/3/23
Y1 - 2018/3/23
N2 - We demonstrate a minimally invasive intracranial pressure (ICP) monitoring system using a piezoresistive sensor. Our previous work in ICP monitoring used an obscure sensor, small pressure range, and manual induction by hand compressions. In this work, we use a widely available FDA-approved sensor and extend the study to meet the ANSI/AAMI standards. We also include controlled mechanical and physiologically-induced ICP modulation. We verified the system using a water column up to 100 mmHg. We tested our system in vivo with a rat model. The results generally show excellent agreement between our custom ICP sensing system and a commercial gold standard.
AB - We demonstrate a minimally invasive intracranial pressure (ICP) monitoring system using a piezoresistive sensor. Our previous work in ICP monitoring used an obscure sensor, small pressure range, and manual induction by hand compressions. In this work, we use a widely available FDA-approved sensor and extend the study to meet the ANSI/AAMI standards. We also include controlled mechanical and physiologically-induced ICP modulation. We verified the system using a water column up to 100 mmHg. We tested our system in vivo with a rat model. The results generally show excellent agreement between our custom ICP sensing system and a commercial gold standard.
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U2 - 10.1109/BIOCAS.2017.8325199
DO - 10.1109/BIOCAS.2017.8325199
M3 - Conference contribution
AN - SCOPUS:85050024074
T3 - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
SP - 1
EP - 4
BT - 2017 IEEE Biomedical Circuits and Systems Conference, BioCAS 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 October 2017 through 21 October 2017
ER -