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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)