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Cox MP, Ma H, Bahlke ME, et al. LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement. IEEE Trans Electron Devices. 2010;57(1):174-177doi: 10.1109/TED.2009.2033652.
Cox, M. P., Ma, H., Bahlke, M. E., Beck, J. H., Schwartz, T. H., & Kymissis, I. (2010). LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement. IEEE transactions on electron devices, 57(1), 174-177. https://doi.org/10.1109/TED.2009.2033652
Cox, Marshall P, et al. "LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement." IEEE transactions on electron devices vol. 57,1 (2010): 174-177. doi: https://doi.org/10.1109/TED.2009.2033652
Cox MP, Ma H, Bahlke ME, Beck JH, Schwartz TH, Kymissis I. LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement. IEEE Trans Electron Devices. 2010 Jan;57(1):174-177. doi: 10.1109/TED.2009.2033652. PMID: 22039308; PMCID: PMC3203522.
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IEEE Trans Electron Devices. 2010 Jan;57(1):174-177. doi: 10.1109/TED.2009.2033652.

LED-Based Optical Device for Chronic In Vivo Cerebral Blood Volume Measurement.

IEEE transactions on electron devices

Marshall P Cox, Hongtao Ma, Matthias E Bahlke, Jonathan H Beck, Theodore H Schwartz, Ioannis Kymissis

Affiliations

  1. Columbia Laboratory for Unconventional Electronics, Department of Electrical Engineering, Columbia University, New York, NY 10027 USA.

PMID: 22039308 PMCID: PMC3203522 DOI: 10.1109/TED.2009.2033652

Abstract

We demonstrate a reflectivity-based cerebral blood volume sensor comprised of surface-mount light-emitting diodes on a flexible substrate with integrated photodetectors in a form factor suitable for direct brain contact and chronic implantation. This reflectivity monitor is able to measure blood flow through the change of the surface reflectivity and, through this mechanism, detect the cerebral-blood-volume changes associated with epileptic seizures with a signal-to-noise (SNR) response of 42 dB. The device is tested in an in vivo model confirming its compatibility and sensitivity. The data taken demonstrate that placing the sensor into direct brain contact improves the SNR by more than four orders of magnitude over current noncontact technologies.

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