Date of Award
Level of Access Assigned by Author
Master of Science in Electrical Engineering (MSEE)
Electrical and Computer Engineering
Second Committee Member
Third Committee Member
Alzheimer’s disease (AD), which causes decline in the cognitive functions, is the
major lead of dementia. AD begins showing damage in memory, making patients
dependent on caregivers. Treating AD requires early diagnosis of its signs. The
initial sign of AD is mild cognitive impairment (MCI), which is the middle stage
between a healthy patient and one diagnosed with AD. The proposed sleep
monitoring system is capable of diagnosing MCI symptoms.
MCI patients are characterized with sleep fragmentation and sleep disorder. The
sleep fragmentation is defined as awakenings that interrupt the normal sleep. The
proposed system in this thesis uses force sensors to capture movements that can
potentially characterize as sleep fragmentation. The sensors were arranged on a
mattress cover to pick up the body movements regardless of sleep position.
A wireless sensor system was designed, implemented and tested in Wireless
Sensor Networks (WiSe-Net) laboratory at the University of Maine. The system
operates at 2.4GHz with a range of 300ft. It has been tested on control subjects,
healthy people, and seniors diagnosed with MCI and AD. The system is capable of
determining the number and average periods of sleep fragmentation to assist with
Almaghasilah, Ahmed A. Mr, "Wireless Sensor System for Mild Cognitive Impairment Diagnosis" (2018). Electronic Theses and Dissertations. 3139.
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