BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Lewis & Clark//NONSGML v1.0//EN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20160313T100000 RDATE:20160313T100000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 END:DAYLIGHT END:VTIMEZONE BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:STANDARD TZNAME:PST DTSTART:20161106T090000 RDATE:20161106T090000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20161201T153000 DTEND;TZID=America/Los_Angeles:20161201T163000 LOCATION:John Howard 132 GEO:45.451619;-122.669391 SUMMARY:Student Talks DESCRIPTION:Honors Thesis: Sat™ - iPhone Camera for \;Low-Cost Pu lse Oximetry by Esteban Valle '16 - Computer Science Major Pulse oximet ry—the measurement of blood oxygen saturation—is one of the core vita l signs\, like pulse rate and blood pressure. SpO2\, the metric of pulse oximetry\, has long been a strong indicator of a patient's respiratory an d circulatory health. Sat is an iPhone application which is able to measu re SpO2 using only the built-in camera and rear-facing LEDs. Traditional pulse oximetry leverages the light-absorbing characteristics of hemoglobi n with and without oxygen. This relies on special lamps and photosensors. A new technique\, called 'photoplethysmography'\, allows any light sourc e 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 saturati on\, as well as internet-based data sharing empowers patients and physici ans alike to new approaches for tackling chronic illness\, all-the-while reducing healthcare costs of treatments\, equipment\, and drugs.Independe nt 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 internatio nal 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 epide mic or pandemic\, such as the Spanish Flu of 1918\, the Bubonic Plague\, or the biggest pandemic in history\; HIV/AIDS. This presentation will loo k at one method of approaching this work using the Monte Carlo Method\, w hich uses random movement to represent human interactions. The presentati on will be accessible to all\, especially those interested in Computer Pr ogramming\, Modeling\, and Epidemiology. X-ALT-DESC;FMTTYPE=text/html:
Honors Thesis: Satâ„
¢ - iPhone Camera for
\;Low-Cost Pulse Oximetry
b
y 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 pul se oximetry\, has long been a strong indicator of a patient's respiratory and circulatory health. Sat is an iPhone application which is a ble to measure SpO2 using only the built-in camera and rear-fa cing LEDs. Traditional pulse oximetry leverages the light-absorbing chara cteristics 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 sophistica ted algorithms\, to be used to measure SpO2. Image-processing algorithms analyze color gamut and histogram streams in real-time in orde r to estimate the fraction of long-wave light being absorbed by saturated hemoglobin. Using the iPhone app Sat\, the user simply places t heir finger over the rear-facing camera and LED flash. Easy\, self-promot ed outpatient monitoring of oxygen saturation\, as well as internet-based data sharing empowers patients and physicians alike to new approaches fo r tackling chronic illness\, all-the-while reducing healthcare costs of t reatments\, equipment\, and drugs.
Independe
nt 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 f or Disease Control and Prevention (CDC) and World Health Organization (WH O). Such work is essential in treating and controlling various diseases d uring outbreaks and preventing an epidemic or pandemic\, such as the Span ish Flu of 1918\, the Bubonic Plague\, or the biggest pandemic in history \; HIV/AIDS. This presentation will look at one method of approaching thi s work using the Monte Carlo Method\, which uses random movement to repre sent human interactions. The presentation will be accessible to all\, esp ecially those interested in Computer Programming\, Modeling\, and Epidemi ology.
UID:20161201T233000Z-206623@college.lclark.edu DTSTAMP:20161104T131328Z URL:https://college.lclark.edu/live/events/206623-student-talks CATEGORIES:Open to the Public LAST-MODIFIED:20161118T223901Z X-LIVEWHALE-TYPE:events X-LIVEWHALE-ID:206623 X-LIVEWHALE-TIMEZONE:America/Los_Angeles X-LIVEWHALE-CONTACT-INFO:mathsci@lclark.edu X-LIVEWHALE-SUMMARY:Students will present a computer science honors thesi s and a mathematics independent project. X-LIVEWHALE-TAGS:Mathematical Sciences Colloquium END:VEVENT END:VCALENDAR