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Department of Computer Science & Engineering. Contactless Vital Signs Monitoring System. James Coakley, Danial Goodwin, Chris Mackey, Yi Zhuo. Background : Contactless monitoring of heart rate, blood pressure, respiratory rate, and other vital signs is optimal under special circumstances.
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Department of Computer Science & Engineering Contactless Vital Signs Monitoring System James Coakley, Danial Goodwin, Chris Mackey, Yi Zhuo Background: Contactless monitoring of heart rate, blood pressure, respiratory rate, and other vital signs is optimal under special circumstances. The Problem: Create a contactless smartphone application that is capable of measuring a person’s vital signs. Requirements: 1.) System shall remotely monitor and display the vital signs of an individual on the screen of the smartphone. 2.) System shall be accurate to medical community standards 3.) System shall calculate vital signs in under 30 seconds 4.) The system shall be able to compare changes in multiple vital signs over the course of 60 seconds to determine a change in condition 5.) The user interface must be accessible and intuitive 6.) The system shall operate for four hours of continuous use DesignandImplementation: Heart Rate Camera detects the RGB values of micro-blushes which are filtered by ICA and passed through FFT to return heart rate. ICA and FFT are shown in figures 2 and 3. Blood Pressure PP(pulse pressure) is calculated from the weight, height, age, sex and heart rate of the individual. Mpp(mean pulse pressure) is a constant. SP = mpp + 3/2 PP DP = mpp – PP/3 Body Temperature Utilizing an infrared thermometer, we calculate internal body temperature from surface temperature and ambient temperature Equation: Internal Temp = 1/(f-1) * (f * External Temp – Ambient Temp) Acknowledgments We would like to thank Dr. Christensen and Jay Schroeder for their guidance. We would also like to thank Raytheon for the project. Figure 1 Figure 3 Figure 2 Senior Project CIS 4910 Fall 2012