1 / 12

Near-Infrared Spectroscopy in Blood Oxygenation Monitoring

Explore the utilization of NIRS for non-invasive blood oxygenation monitoring in various applications like muscle metabolism and vascular studies. Learn about the methodology, data acquisition, fitting, and spectral analysis. Discover its benefits and conclusions on accuracy and artifact correction.

urick
Download Presentation

Near-Infrared Spectroscopy in Blood Oxygenation Monitoring

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Aleksandar Mihaylov MBP3302 Supervisors: Ken Tichauer Keith St. Lawrence Near-Infrared Spiroximetry

  2. Overview • NIRS • What is it? • Why use it? • NIRS Methodology • Data acquisition • Fitting • Filtering and Spectral analysis • Results • Conclusion

  3. What is NIRS? • Objective • Measure blood oxygenation using near-infrared light • Non-invasive methodology • Real time monitoring • Applications • Muscle metabolism • Vascular disorder studies • Functional brain imaging

  4. Applications cont’d Metabolism Brain Function http://www.daviddarling.info/encyclopedia/P/pulse_oximetry.html http://www.rtmagazine.com/issues/articles/2007-10_07.asp

  5. Why use NIRS? • Other Methods • Blood gas analysis • Oxygen sensors • NIRS benefits • Non-invasive • Allows for real time monitoring • Easy to implement

  6. Methodology - Data Acquisition • Near-Infrared light • Wavelengths of 600-900 nm • Deep penetration • Highly sensitive to Hb saturation • Probe Layout • Discrete vs. Broadband • Transmission vs. Reflectance • Positioning • Relative measure of volume change http://www.pages.drexel.edu/~kmg462/

  7. Methodology - Fitting • Separate oxy from non-oxy haemoglobin data • Deep penetration – one data set for arterial, venous and capillary compartments. Franceschini, et al, 2002

  8. Methodology – Spectral Analysis • Pulsatile nature of blood vessels • Arterial – pulsations at the heart rate • Venous – pulsations at the respiratory frequency • Fourier Domain analysis • Further separation into compartments • Power in spectrum relative to concentration of HbO2 or Hb

  9. Results

  10. Results cont’d • Accuracy (Unpublished Data) • Improvements • Higher sensitivity – allow for low SvO2 measurements • Improved fitting algorithm • Artifact Correction

  11. Conclusion • NIRS methodology • Non-invasive • Easy to implement • Real-time monitoring • Further work • Artifact correction • Probe sensitivity and bandwidth • Increased accuracy

  12. References • Maria Angela Franceschini, et al, Near-infrared spiroximetry: noninvasive measurements of venous saturation in piglets and human subjects, J Appl Physiol 92: 372-384, 2002. • B. L. Horecker, The absorption spectra of hemoglobin and its derivatieves in the visible and near infra-red regions, ASBMB, 1942 • Willem G. Zijlstra, Anneke Buursma, O. W. van Assendelft, Visible and near infrared absorption spectra of human and animal haemoglobin: determination and application, VSP 2000 • Kenneth M. Tichauer, Derek W. Brown, Jennifer Hadway, Ting-Yim Lee, Keith St. Lawrence, Near-infrared spectroscopy measurements of cerebral blood flow and oxygen consumption following hypoxia-ischemia in newborn piglets, J Appl Physiol 2006

More Related