자료유형  

 학위논문

Control Number  

0016934939

International Standard Book Number  

9798380327145

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Chan, Justin.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Washington., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(132 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

General Note  

Advisor: Gollakota, Shyam.

Dissertation Note  

Thesis (Ph.D.)--University of Washington, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Access to basic medical resources like hearing care is influenced by factors like an individual's birth country. This lack of access is often due to the prohibitively high prices of medical devices which cannot be afforded by most of the world. At the same time, mobile sensors and technologies have advanced substantially over the last two decades and are now ubiquitous. In this dissertation, we develop a unique approach to societally impactful research that involves identifying problems that are important in the medical domain, and formulating solutions which are interesting from a computational standpoint. Through this process, we create a suite of intelligent earable systems for equitable healthcare that breaks the conventional wisdom that expensive medical devices are needed for high quality clinical testing. By working towards adoption in the real-world, these systems are now transforming the field of audiology and having societal impact. The key challenge in designing these systems is in leveraging low-cost, commodity hardware to perform medical diagnostics of the ear at scale while still achieving high-quality clinical performance. We design computational methods spanning applied machine learning, wireless sensing, signal processing and embedded hardware to enable these systems to generalize across different hardware and real-world environments. The first system can detect ear infections using the speakers and microphones on a smartphone and a paper cone. The second system enables low-cost newborn hearing screening using earphones and wireless earbuds. The third system is an inexpensive smartphone-based tympanometry system to make screening of middle ear disorders more accessible. Looking forward, this dissertation sets the stage for the mobile systems community which is uniquely positioned to develop wearable and mobile technologies that can alleviate global health inequity and ensure that every human on the planet has access to basic medical tools.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Computer engineering.

Subject Added Entry-Topical Term  

Biomedical engineering.

Index Term-Uncontrolled  

Ear

Index Term-Uncontrolled  

Healthcare

Index Term-Uncontrolled  

Intelligent earable system

Index Term-Uncontrolled  

Mobile sensors

Index Term-Uncontrolled  

Earable systems

Index Term-Uncontrolled  

Hearing care

Added Entry-Corporate Name  

University of Washington Computer Science and Engineering

Host Item Entry  

Dissertations Abstracts International. 85-03B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643184