Monitoring physiological signals using camera
This thesis work develops camera-based systems and algorithms to monitor several physiological waveforms and parameters, without having to bring the sensors in contact with a subject. Based on skin color change, photoplethysmogram (PPG) waveform is recorded, from which heart rate and pulse transit time are obtained. Using a dual-wavelength illumination and triggered camera control system, blood oxygen saturation level is captured. By monitoring shoulder movement using differential imaging processing method, respiratory information is acquired, including breathing rate and breathing volume. Ballistocardiogram (BCG) is obtained based on facial feature detection and motion tracking. Blood pressure is further calculated from simultaneously recorded PPG and BCG, based on the time difference between these two waveforms.
The developed methods have been validated by comparisons against reference devices and through pilot studies. All of the aforementioned measurements are conducted without any physical contact between sensors and subjects. The work presented herein provides alternative solutions to track one’s health and wellness under normal living condition.]]>autShao, DangdangthsTao, NongjiandgcLi, BaoxindgcHekler, EricdgcKaram, LinapblArizona State UniversityengPartial requirement for: Ph.D., Arizona State University, 2016Includes bibliographical references (pages 88-98)Field of study: Electrical engineeringby Dangdang Shaohttps://hdl.handle.net/2286/R.I.4123600Doctoral DissertationAcademic thesesix, 98 pages : color illustrations114859540721630347607155174systemIn CopyrightAll Rights Reserved2016TextElectrical EngineeringBiomedical EngineeringComputer visionImage ProcessingMobile HealthNon-contact MeasurementPhysiological Signalsremote sensingImage ProcessingComputer visionWireless communication systems in medical careTelecommunication in medicine