Masters Theses

Keywords and Phrases

Epidermal Electronic Systems; Epidermal Sensors; Health Monitoring; Physiological Signals; Sleep Studies; Wearable Devices

Abstract

"Sleep is the essential part of life. Thousands of people are suffering from different kinds sleep disorders. Clinical diagnosing and treating for such disorders are costly, painful and quite sluggish. To reach the demand many commercial products are into the market to encourage home based sleep studies using portable devices. These portable devices are limited in use, cannot be handled easily and quite costly. Advancements in technology miniaturized these portable devices to wearable devices to make them convenient and economical. Elastic, soft and thin silicon membrane with physical properties well matched with that of the epidermis provides conformal and robust contact with the skin. Integration of an elastic and flexible electronics to such a membrane provides an epidermal electronic system (EES) that can enhance the robustness in operation for electrophysiological signal measurement. Biocompatible and non-invasive over the skin are the advantages of this class of technology that lie beyond those available with conventional, point-contact electrode interfaces to the skin. Recording of various long-term physiological signals relevant in various sleep studies can be performed using this multifunctional device. Optimized design of EES for monitoring various physiological signals like surface electroencephalography (EEG), electrooculography (EOG) and electromyography (EMG) are presented in this project"--Abstract, page iii.

Advisor(s)

Huang, Xian

Committee Member(s)

Liou, Frank W.
Pan, Heng

Department(s)

Mechanical and Aerospace Engineering

Degree Name

M.S. in Mechanical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2016

Pagination

ix, 72 pages

Note about bibliography

Includes bibliographic references (pages 67-71).

Rights

© 2016 J V M S Avinash Kankipati, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Sleep disorders--Diagnosis--Research
Intelligent sensors--Design

Thesis Number

T 11346

Electronic OCLC #

1041856534

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