Publication Date
1-1-2016
Document Type
Dissertation/Thesis
First Advisor
Kocanda, Martin
Degree Name
B.S. (Bachelor of Science)
Legacy 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.
Recommended Citation
Thompson, Laura; Hines, Joseph; Clampitt, Emily.; and Konicki, Colin, "Superficial Muscular Stimulating Sleep Cycle Analyzer" (2016). Honors Capstones. 1065.
https://huskiecommons.lib.niu.edu/studentengagement-honorscapstones/1065
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
