Title:  Soft Wearable Acoustical Sensing in Disease Autodiagnoses and Security

Committee: 

Dr. Yeo, Advisor

Dr. Inan, Co-Advisor     

Dr. Bhatti, Chair

Dr. Sulchek

Abstract: The objective of the proposed research is a class of technologies that enables continuous, wireless, real-time auscultation utilizing a soft wearable system as a tool for quantitative disease detection for a variety of diseases and biometric security applications using a soft wearable stethoscope (SWS). Overall, the proposed research advances wearable acoustic sensing of body sounds for thorough cardiopulmonary system monitoring. Future studies will focus on a large-group clinical trial with the SWS to automatically diagnose cardiopulmonary diseases while providing continuous, digital, real-time auscultation for advancing digital and smart healthcare. In addition to improving the sensitivity of the SWS device and adding more classes, future work will also focus on extending the wireless systems to soft wearable devices for early detection of various diseases in not only in the pulmonary, but also targeting arrhythmia in cardiac monitoring, expanding the clinical data base of the SWS.