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Mathematical Sciences

Student Talks

Date: 3:30pm - 4:30pm PST December 1, 2016 Location: John Howard 132

John Howard 132

Honors Thesis: Sat™ - iPhone Camera for
 Low-Cost Pulse Oximetry
by Esteban Valle ’16 - Computer Science Major

Pulse oximetry—the measurement of blood oxygen saturation—is one of the core vital signs, like pulse rate and blood pressure. SpO2, the metric of pulse oximetry, has long been a strong indicator of a patient’s respiratory and circulatory health. Sat is an iPhone application which is able to measure SpO2 using only the built-in camera and rear-facing LEDs. Traditional pulse oximetry leverages the light-absorbing characteristics of hemoglobin with and without oxygen. This relies on special lamps and photosensors. A new technique, called ‘photoplethysmography’, allows any light source and smartphone camera, combined with sophisticated algorithms, to be used to measure SpO2. Image-processing algorithms analyze color gamut and histogram streams in real-time in order to estimate the fraction of long-wave light being absorbed by saturated hemoglobin. Using the iPhone app Sat, the user simply places their finger over the rear-facing camera and LED flash. Easy, self-promoted outpatient monitoring of oxygen saturation, as well as internet-based data sharing empowers patients and physicians alike to new approaches for tackling chronic illness, all-the-while reducing healthcare costs of treatments, equipment, and drugs.

Independent Project: Modeling How a Disease Spreads Through a Population or Region Using Computer Modeling
by Balal Rahim ’17 - Mathematics Major

Disease modeling is critical work that is done by various national and international agencies such as the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO). Such work is essential in treating and controlling various diseases during outbreaks and preventing an epidemic or pandemic, such as the Spanish Flu of 1918, the Bubonic Plague, or the biggest pandemic in history; HIV/AIDS. This presentation will look at one method of approaching this work using the Monte Carlo Method, which uses random movement to represent human interactions. The presentation will be accessible to all, especially those interested in Computer Programming, Modeling, and Epidemiology.

Event Contact

mathsci@lclark.edu
45.451619; -122.669391