Utilizing consumer technologies to design accessible medical training and imaging tools

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Abstract/Contents

Abstract
The development of modern medicine has led to an unfortunate, but popular assumption: that advanced medical technologies are exorbitantly expensive and almost exclusively relegated to big hospitals. This work aims to subvert this assumption by providing a new model for carrying over the ten-fold reductions in cost and size found in the consumer space to the medical world. It accomplishes this task by outlining three key steps to incorporating consumer technologies into medical devices: modularization, simplification, and recycling. This work is then grounded in two novel systems which utilize the proposed framework to drastically reduce their cost and size relative to current options. The first is a handheld volumetric ultrasound system that is portable and can be produced for 10% of the cost of current volumetric ultrasound systems. The second is a virtual reality surgical trainer that packs flat, runs on a phone or tablet, and can be produced for 1% of the cost of current surgical trainers. The low-cost and portability of these new devices serve to not only make the current level of care more accessible, but also to open up entirely new applications.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Stauber, Mark Samuel
Associated with Stanford University, Department of Mechanical Engineering.
Primary advisor Leifer, Larry J
Primary advisor Salisbury, J. Kenneth
Primary advisor Srivastava, Sakti
Thesis advisor Leifer, Larry J
Thesis advisor Salisbury, J. Kenneth
Thesis advisor Srivastava, Sakti

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Mark Samuel Stauber.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Mark Samuel Stauber
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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