Li, Sichuang
(2025)
Design and Evaluation of a Wearable EEG-PPG Device for Sleep Monitoring.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
This thesis presents the design, implementation, and evaluation of a novel wearable device for simultaneous electroencephalography (EEG) and photoplethysmography (PPG) monitoring during sleep. The research aims to facilitate more accessible and long-term sleep analysis, endeavoring to assist people in identifying potential sleep-related issues, improving their sleep habits, and ultimately promoting a healthier lifestyle. Our work addresses the growing need for portable, non-invasive sleep monitoring solutions that can provide comprehensive physiological data outside of clinical settings. Specifically, the research details the hardware design process, including circuit development for EEG and PPG signal acquisition, power management, and data processing capabilities. The device incorporates a Right Leg Drive (RLD) circuit for common-mode rejection in EEG recordings and an optimized PPG-based heart rate monitoring system. Empirical testing demonstrated the device's ability to capture high-quality EEG and PPG signals in real-world conditions. The EEG component successfully differentiated various brain wave frequencies, while the PPG measurements provided reliable heart rate data. Limitations such as eye movement artifact and the need for clinical validation were also addressed. Future work will focus on reducing the size of the board and developing a more user-friendly electrode attachment solution.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
7 January 2025 |
| Date Type: |
Publication |
| Defense Date: |
7 November 2024 |
| Approval Date: |
7 January 2025 |
| Submission Date: |
24 October 2024 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
80 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Electrical and Computer Engineering |
| Degree: |
MS - Master of Science |
| Thesis Type: |
Master's Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
EEG Signal Acquisition, PPG Heart Rate Monitoring, Right Leg Drive Circuit, Biomedical Instrumentation |
| Date Deposited: |
07 Jan 2025 21:05 |
| Last Modified: |
07 Jan 2025 21:05 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/47037 |
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