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Adaptive filtering and alternative calculations revolutionizes pulse oximetry sensitivity and specificity during motion and low perfusion

Adaptive filtering and alternative calculations revolutionizes pulse oximetry sensitivity and specificity during motion and low perfusion,10.1109/IEMB

Adaptive filtering and alternative calculations revolutionizes pulse oximetry sensitivity and specificity during motion and low perfusion   (Citations: 4)
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Pulse oximetry, utilizing spectrophotometric principles and normalized absorption of red and infrared light, provides vital information concerning patients' arterial oxygen saturation, pulse rate and perfusion level. Conventional pulse oximeters, incorporating conventional filters, are hampered by artifact interference from motion, electrical and ambient light and other conditions producing weak signals. Masimo introduced mathematically and physiologically based designs along with adaptive filtering and what it calls DST™ (Discrete Saturation Transform™) as a solution to monitoring patients even during times of severe and unpredictable noise interference. This combined with 4 other alternative calculations, revolutionized pulse oximetry performance. This new technology is called Signal Extraction Pulse Oximetry® or Masimo SET® pulse oximetry. Sensitivity and specificity of signal extraction technology, was first tested extensively in the lab on volunteers under conditions designed to simulate varying physiology, including controlled desaturations, combined with severe patient motion, and low perfusion conditions. Conventional pulse oximeters demonstrated very low sensitivity and specificity while pulse oximeters with SET showed sensitivity and specificity of over 95% under the same conditions. Clinical testing was then performed on an extensive variety of patients in the hospital environment demonstrating similar performance, validating the significant advance resulting from the use of SET. False alarms due to motion artifact and low perfusion have been reduced from up to 90% to less than 5%.
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    • ...One example method for clinical use is the one developed by Masimo Corporation [2], called the discrete saturation transform (DST), which takes advantage of the fact that the blood in the veins responds differently to motion than blood in the arteries due to the difference in pressures and, thus, can be extracted by correlating the IR and red photoplethysmograms at assumed oxygen saturation levels to enable active noise cancellation...
    • ...In this paper, we aim to propose an artifact reduction method which addresses and , but allows the sensor system to remain sensitive to all changes in blood volume including respiration and vasomodulationeventhoughtheywillalsoincludeany disturbances which are likely due to variations in the lower pressure venous blood volume [2], [8], [10], [12], [15]...

    James A. C. Pattersonet al. Ratiometric Artifact Reduction in Low Power Reflective Photoplethysmog...

    • ...These include wavelet analysis and decomposition techniques [5] and adaptive filters [6]...

    Rajet Krishnanet al. Two-Stage Approach for Detection and Reduction of Motion Artifacts in ...

    • ...A successful method for clinical use is the one developed by Masimo Corporation [3], called the Discrete Saturation Transform TM (DST TM ), which takes advantage of the fact that the blood in the veins responds differently to motion than blood in the arteries, and thus can be extracted by correlating the IR and red photoplethysmograms...

    James A. C. Pattersonet al. Ratiometric Artefact Reduction in Low Power, Discrete-Time, Reflective...

    • ...Various signal processing techniques have been investigated to address the problem of recovering quasiperiodic PPG signals from measurements corrupted with motion artifacts, including wavelet analysis and decomposition techniques [1] and adaptive filters [2]...

    Rajet Krishnanet al. Motion Artifact Reduction in Photopleythysmography Using Magnitude-Bas...

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