Publication Date

1-1-2016

Document Type

Dissertation/Thesis

First Advisor

Kocanda, Martin

Degree Name

B.S. (Bachelor of Science)

Department

Department of Electrical Engineering

Abstract

Sleep is one of the most crucial components for optimal physical and mental health, and it plays a large role in ongoing bodily repair. However, despite the importance of sleep, an estimated 40 million people in the United States alone have some form of chronic sleep disorder annually. Our product is designed to track a person’s biometrics through a wearable armband for night use that will be able to detect the stages of sleep indirectly. The biofeedback from the device would then activate an electrical muscular stimulator that would release a current to force muscle contractions in order to wake a person up based off of inputted time set by the user and begin electrical stimulation as close to the input time as possible without going over a no later than time. The device acts as a non-invasive analyzer, and the device will detect a person’s sleep cycle through skin resistance, muscle tension, and temperature. Despite the impressive advancements of wearable technology, there is no completely reliable, non-invasive commercial technology that is able detect the human sleep cycle. Our device would be a completely novel idea in this field of study.

Laura Thompson 2016.pdf (536 kB)
Laura Thompson 2016

HonorsCapstoneFinal.docx (2271 kB)
Honors Capstone

Extent

11 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Alt Title

EMS Sleep Analyzer

Media Type

Text

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