Background: Newborns with critical health conditions are monitored in neonatal intensive care units (NICU). In NICU, one of the most important problems that they face is the risk of brain injury. There is a need for continuous monitoring of newborn's brain function to prevent any potential brain injury. This type of monitoring should not interfere with intensive care of the newborn. Therefore, it should be non-invasive and portable.
Methods: In this paper, a low-cost, battery operated, dual wavelength, continuous wave near infrared spectroscopy system for continuous bedside hemodynamic monitoring of neonatal brain is presented. The system has been designed to optimize SNR by optimizing the wavelength-multiplexing parameters with special emphasis on safety issues concerning burn injuries. SNR improvement by utilizing the entire dynamic range has been satisfied with modifications in analog circuitry.
Results and Conclusion: As a result, a shot-limited SNR of 67 dB has been achieved for 10 Hz temporal resolution. The system can operate more than 30 hours without recharging when an off-the-shelf 1850 mAh-7.2 V battery is used. Laboratory tests with optical phantoms and preliminary data recorded in NICU demonstrate the potential of the system as a reliable clinical tool to be employed in the bedside regional monitoring of newborn brain metabolism under intensive care.
A portable near infrared spectroscopy system for bedside monitoring of newborn brain
Creators
Alper Bozkurt - Drexel University
Arye Rosen - Drexel University
Harel Rosen - St Peters Univ Hosp, New Brunswick, NJ 08801 USA
Banu Onaral - Drexel University
Publication Details
Biomedical engineering online, v 4(1), pp 29-29
Publisher
Springer Nature
Number of pages
11
Grant note
Defense Advanced Research Projects Agency (DARPA) Augmented Cognition Program; United States Department of Defense; Defense Advanced Research Projects Agency (DARPA)
N00014-02-1-0524; N00014-01-1-0986 / Office of Naval Research (ONR); Office of Naval Research
Resource Type
Journal article
Language
English
Academic Unit
Electrical and Computer Engineering; School of Biomedical Engineering, Science, and Health Systems
Web of Science ID
WOS:000497965600019
Scopus ID
2-s2.0-26844481098
Other Identifier
991019169813304721
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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Biomedical
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