Presentation Type

Poster

Title of Abstract

Automated Signal Processing for Data Obtained from Core Body Temperature Measurements

Abstract

This project is designed to enhance research efforts on a total power radiometer system used as a non contact sensor for subsurface temperature measurements. The radiometer detects thermal noise radiated from the human body and relates this thermal noise to core body temperature through a mathematical model linking the interactions among the EM fields, the radiometer system, and the body. This research will consist of constructing a biological tissue phantom that mimics the electrical properties of the human core, the gaining of temperature measurements with the radiometer system, and the processing of the acquired data with the created extraction routine. This research will directly assist the data extraction procedure of this transition to a micro controlled handheld device. The current data extraction method uses a MATHCAD routine. While valuable, the MATHCAD routine lacks the mobility of signal processing needed in an extraction program. Therefore MATLAB will be used as a more efficient signal processing algorithm, which could be easily implemented into a microcontroller. The ultimate goal of this project is to develop a handheld health monitoring device driven by a microcontroller. In order for this to happen every component of the radiometer system must be reduced in size.

Categories

Engineering/Physical Science

Research Type

Research Assistant

Mentor Information

Dr. Tom Weller

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Automated Signal Processing for Data Obtained from Core Body Temperature Measurements

This project is designed to enhance research efforts on a total power radiometer system used as a non contact sensor for subsurface temperature measurements. The radiometer detects thermal noise radiated from the human body and relates this thermal noise to core body temperature through a mathematical model linking the interactions among the EM fields, the radiometer system, and the body. This research will consist of constructing a biological tissue phantom that mimics the electrical properties of the human core, the gaining of temperature measurements with the radiometer system, and the processing of the acquired data with the created extraction routine. This research will directly assist the data extraction procedure of this transition to a micro controlled handheld device. The current data extraction method uses a MATHCAD routine. While valuable, the MATHCAD routine lacks the mobility of signal processing needed in an extraction program. Therefore MATLAB will be used as a more efficient signal processing algorithm, which could be easily implemented into a microcontroller. The ultimate goal of this project is to develop a handheld health monitoring device driven by a microcontroller. In order for this to happen every component of the radiometer system must be reduced in size.