Graduation Year
2020
Document Type
Thesis
Degree
M.S.
Degree Name
Master of Science (M.S.)
Degree Granting Department
Physics
Major Professor
Manh-Huong Phan, Ph.D.
Committee Member
Hariharan Srikanth, Ph.D.
Committee Member
Sarath Witanachchi, Ph.D.
Keywords
magnetic sensor, microwire, respiratory tracking, virus detection
Abstract
Breathing is vital to life. Therefore, the real-time monitoring of a patient’s breathing pattern is crucial to respiratory rehabilitation therapies such as magnetic resonance exams for respiratory-triggered imaging, chronic pulmonary disease treatment, and synchronized functional electrical stimulation. While numerous respiratory devices have been developed, they are often in direct contact with a patient, which can yield inaccurate or limited data. In this study, we developed a novel, non-invasive, and contactless magnetic sensing platform that can precisely monitor a patient’s breathing, movement, or sleep patterns, thus providing efficient monitoring at a clinic or home. A magneto-LC resonance (MLCR) sensor converts the magnetic oscillations generated by a patient’s breathing into an impedance spectrum, which allows for a deep analysis of one’s breath variation to identify respiratory-related diseases like COVID-19. Owing to its ultrahigh sensitivity, the MLCR sensor yields a distinct breathing pattern for each patient tested, which is superior to existing respiratory devices. The sensor also provides an accurate measure of the strength of a patient’s breath at multiple stages as well as anomalous variations in respiratory rate and amplitude. This demonstrates that the MLCR sensor can detect symptoms of COVID-19 in a patient due to his/her shortness of breath or difficulty breathing as well as track the disease’s progress in real time. Using music, we demonstrate the possibility of using MLCR technology to treat patients with chronic pulmonary diseases. This device can also be used to help those who suffer from anxiety or insomnia.
Scholar Commons Citation
Hwang, Kee Young, "A Novel Magnetic Respiratory Sensor for Human Healthcare" (2020). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/8550
