Thesis Topic Details
Topic ID: |
3261 | |
Title: |
Sleep apnea and hypopnea classification | |
Supervisor: |
Stephen Redmond | |
Research Area: |
Biomedical Engineering | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Julien Epps | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
Approximately one in every five adults suffers a respiration abnormality during sleep. Most of these people go undiagnosed, with later consequences for their health. Existing sleep clinics are expensive to run and cannot manage with the volume of examination requested. This project aims to investigate the feasibility of performing home screening for sleep apnea and hypopnea using robust biosignals recorded during sleep. This project will use existing polysomnograph signal databases and the Matlab programming environment to perform algorithm development. Students should have an affinity for algorithm development and signal processing. Some knowledge of pattern classification methods is an advantage. | |
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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