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Smart Sensing in Pulmonary Disease Management
The Hong Kong University of Science and Technology Department of Computer Science and Engineering PhD Thesis Defence Title: "Smart Sensing in Pulmonary Disease Management" By Mr. Yanbin GONG Abstract: Pulmonary diseases such as pneumonia and chronic obstructive pulmonary disease (COPD) impose significant social and economic burdens globally, affecting millions of patients through frequent hospitalizations while diminished quality of life. As conditions that require long-term management, pulmonary diseases present an ideal opportunity for smart sensing technologies to transform patient care by enabling continuous monitoring outside traditional clinical settings. However, implementing these technologies faces numerous challenges. This thesis focuses on smart sensing solutions for home and community environments, with the aim of detecting critical biomarkers and behaviors to facilitate timely interventions and rehabilitation monitoring. For pneumonia prevention, we developed systems for aspiration detection in stroke patients and created algorithms that recognize abnormal lung sounds through automated auscultation. For patients with muco-obstructive lung diseases such as COPD, we designed novel sensing approaches to identify mucus locations within the airways and to support effective secretion clearance to prevent inflammatory exacerbation. To detect acute exacerbations of COPD promptly and prevent delays in treatment, we developed a remote smartphone-based monitoring system, AECOPDetector. Furthermore, we focused on pulmonary rehabilitation by developing a system that employs acoustic sensing to evaluate breathing phase and mode, and another system using RGB camera monitoring to assess the proper deep diaphragmatic breathing technique by measuring both breathing mode and volume. Collectively, these contributions aim to advance respiratory care beyond clinical settings, enabling personalized interventions and improving the quality of life for patients with pulmonary diseases. Date: Thursday, 3 July 2025 Time: 10:00am - 12:00noon Venue: Room 3494 Lifts 25/26 Chairman: Prof. Howard Cam LUONG (ECE) Committee Members: Prof. Qian ZHANG (Supervisor) Prof. Qiong LUO Dr. Xiaomin OUYANG Dr. Jun ZHANG (ECE) Dr. Yuanqing ZHENG (PolyU)