Wavelength Selection Method with Standard Deviation: Application to Pulse Oximetry
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Near-infrared spectroscopy provides useful biological information after the radiation has penetrated through the tissue, within the therapeutic window. One of the significant shortcomings of the current applications of spectroscopic techniques to a live subject is that the subject may be uncooperative and the sample undergoes significant temporal variations, due to his health status that, from radiometric point of view, introduce measurement noise. We describe a novel wavelength selection method for monitoring, based on a standard deviation map, that allows low-noise sensitivity. It may be used with spectral transillumination, transmission, or reflection signals, including those corrupted by noise and unavoidable temporal effects. We apply it to the selection of two wavelengths for the case of pulse oximetry. Using spectroscopic data, we generate a map of standard deviation that we propose as a figure-of-merit in the presence of the noise introduced by the living subject. Even in the presence of diverse sources of noise, we identify four wavelength domains with standard deviation, minimally sensitive to temporal noise, and two wavelengths domains with low sensitivity to temporal noise.
KeywordsStandard deviation Pulse oximetry Spectroscopy Medical optics Human functions as temporal noise Near-IR
Authors wish to acknowledge the financial support of CONACYT through the project: “Applications of infrared interferometry for biomedical tomography” (CONACYT 2007-I0003-60450). C. Vazquez-Jaccaud was a recipient of the CONACYT fellowship.
- 5.Baker, C. Pulse oximeter with parallel saturation calculation modules. United State Patent, 20050124871 (2005).Google Scholar
- 8.Choi, J. H., M. Wolf, V. Toronov, U. Wolf, C. Polzonetti, D. Hueber, L. P. Safonova, R. Gupta, A. Michalos, W. Mantulin, and E. Gratton. Noninvasive determination of the optical properties of adult brain near-infrared spectroscopy approach. J. Biomed. Opt. 9(1):221–229, 2004.PubMedCrossRefGoogle Scholar
- 12.Fantini, S., and M. A. Franceschini. Frequency-domain techniques for tissue spectroscopy and imaging. In: Handbook of Optical Biomedical Diagnostics, edited by V. V. Tuchin. Bellingham: SPIE Press, 2002.Google Scholar
- 16.Ignjatovic, N., M. Vasiljevic, D. Milic, J. Stefanovic, M. Stojanovic, A. Karanikolic, A. Zlatic, G. Djordjevic, S. Zivic, L. Jeremic, I. Djordjevic, and R. Jankovic. Diagnostic importance of pulse oximetry in the determination of the stage of chronic arterial insufficiency of lower extremities. Srp. Arh. Celok. Lek. 138(5–6):300–304, 2010.PubMedCrossRefGoogle Scholar
- 21.Mobley, J., and T. Vo-Dinh. Light-tissue inter-actions. In: Biomedical Photonics Handbook, edited by T. Vo-Dinh. New York: CRC Press, 2003.Google Scholar
- 26.Paez G., C. Vazquez-Jaccaud, and M. Strojnik. Development of noise-immune oximetry: theory and measurement. In: Proc. SPIE 6307, 63070F, 2006.Google Scholar
- 31.Rice, J. A. Mathematical Statistics and Data Analysis (2nd ed.). Pacific Grove, CA: Duxburry Press, 1995.Google Scholar
- 34.Sebald, D. J. Motivation of pulse oximetry. In: Design of Pulse Oximeters, edited by J. G. Webster. Bristol: IOP Publishing, 1997.Google Scholar
- 38.Strojnik, M., and G. Paez. Radiometry. In: Handbook of Optical Engineering, edited by D. Malacara, and B. Thompson. New York: Marcel Dekker, 2001.Google Scholar
- 40.Vacas-Jaques, P., G. Paez, and M. Strojnik. Pass-through photon-based biomedical transillumination. J. Biomed. Opt. 13(4):1–10, 2008.Google Scholar
- 41.Vazquez-Jaccaud, C., G. Paez, and M. Strojnik. Oximetry using a novel expression for oxygen saturation. In: AITA 2007 Proceedings, Leon, Mexico, 2008, pp. 451–457.Google Scholar