Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149169
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMohamed Feroz Mohamed Iqubalen_US
dc.date.accessioned2021-05-27T12:13:08Z-
dc.date.available2021-05-27T12:13:08Z-
dc.date.issued2021-
dc.identifier.citationMohamed Feroz Mohamed Iqubal (2021). Monitoring and alerting system for sleep apnea patients. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149169en_US
dc.identifier.urihttps://hdl.handle.net/10356/149169-
dc.description.abstractObstructive Sleep Apnea (OSA) is a very common sleep disorder which affects a significant portion of the population. The gold standard for monitoring OSA, and the treatment efficacy is through a Polysomnogram (PSG). A PSG measures a multitude of biological signals to determine the severity of OSA. However, a PSG is expensive, and causes discomfort for the patients. The system developed in the first phase of this project allows for home-based monitoring of OSA that is affordable and much more comfortable for the patient than the conventional PSG. It makes use of 3 biological signals, including a single channel frontal electroencephalogram (EEG) from the FP2-A1 positions, blood oxygen saturation (SpO2) reading, and recording of snores. In this system, every individual event is logged into a locally stored file, and if there are at least 2 OSA events happening at the same time, the OSA episode is deemed serious, and a buzzer will sound to wake the patient. A message is also sent to the caregiver / next-of-kin to notify them. The second part of the project focuses on a prediction algorithm, making use of a machine learning technique called k-nearest neighbours, to predict the onset of OSA. With such a prediction algorithm, it is possible to aid treatment techniques such as regulating airflow in the Continuous Positive Airway Pressure (CPAP) treatment.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA2275 - 201en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleMonitoring and alerting system for sleep apnea patientsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYvonne Lam Ying Hungen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailEYHLAM@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
A2275 Mohamed Feroz Bin Mohamed Iqubal Final Report.pdf
  Restricted Access
1.8 MBAdobe PDFView/Open

Page view(s)

71
Updated on Jun 25, 2022

Download(s)

1
Updated on Jun 25, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.