Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Mobile sleep apnea detection and monitoring based on thermocouple and pulse oximeter sensors
Download
index.pdf
Date
2018
Author
Demirkol Çakmak, Duygu
Metadata
Show full item record
Item Usage Stats
254
views
137
downloads
Cite This
Sleep apnea syndrome is becoming a prevalent disease for both adults and children. It is described as the cessation of breath for at least 10 seconds during sleep. Detecting sleep apnea is considered as a troublesome and time-consuming method, which requires the patients to stay one or more nights in dedicated sleep disorder rooms with sensors physically attached to their body. Undiagnosed, thereby untreated, sleep apnea patients are under high risk of hypertension, heart attack, accidental injuries through fatigue and sleeplessness. In this project, a portable, low cost and user friendly device to detect sleep apnea which is able to share the necessary information to the patients and doctors during the duration of the whole sleep cycle is developed. To this end, nasal and oral respiratory information is obtained with utilizing thermocouple and oxygen saturation in the blood is obtained with utilizing pulse oximeter. An analog electronic circuit is designed to readout thermocouple and pulse oximeter signals. According to the collected respiratory and pulse oximetry signals, sleep apnea is detected in real time by a software implemented into an ARM based processor. An Android mobile application is developed to record and display the oxygen saturation, heart rate and respiratory signal data during sleep. Communication between ARM based processor and mobile application is established via Bluetooth interface to reduce cabling on the patient. The experimental results gathered from five subjects show that number of sleep apnea can be detected with 100% accuracy, heart rate and SpO2 can be calculated with approximately 99% accuracy.
Subject Keywords
Thermocouples.
,
Pulse oximeters.
,
Bluetooth technology.
,
Sleep apnea syndromes.
URI
http://etd.lib.metu.edu.tr/upload/12622107/index.pdf
https://hdl.handle.net/11511/27346
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Portable obstructive sleep apnea detection and mobile monitoring
Cakmak, Duygu Demirkol; Eyüboğlu, Behçet Murat (2017-04-10)
Obstructive sleep apnea syndrome is becoming a prevalent disease for both adults and children. It is described as the cessation of breath for at least 10 seconds during sleep. Detecting sleep apnea is considered as a troublesome and time-consuming method, which requires the patients to stay one or more nights in dedicated sleep disorder rooms with sensors physically attached to their body. Undiagnosed thereby untreated sleep apnea patients are under high risk of hypertension, heart attack, traffic accident ...
Leveraging Multimodal and Feature Selection Approaches to Improve Sleep Apnea Classification Performance
Memiş, Gökhan; Sert, Mustafa; Yazıcı, Adnan (2017-05-15)
Obstructive sleep apnea (OSA) is a sleep disorder with long-term adverse effects such as cardiovascular diseases. However, clinical methods, such as polisomnograms, have high monitoring costs due to long waiting times and hence efficient computer-based methods are needed for diagnosing OSA. In this study, we propose a method based on feature selection of fused oxygen saturation and electrocardiogram signals for OSA classification. Specifically, we use Relieff feature selection algorithm to obtain robust fea...
Serum copper and zinc status in obstructive sleep apnea patients
Akyüz, Ahmet Oğuz; Pelin, Z.; Ozogur, S.; Ercan, O. (2006-09-01)
Obstructive Sleep Apnea Syndrome (OSAS) is a chronic disease characterized by oxygen desaturation and awakens follow from repetitive apnea and hipopnea during the night. It is thought that diversity of oxygen levels during night in OSAS cause oxidative stress with the increment of the free radical production. In this study, serum levels of copper (Cu) and zinc (Zn), two of the most important elements of antioxidant defense mechanism, were investigated. Patients to be participated into the study were divided...
Spectral envelope analysis of snoring signals
Çavuşoǧlu, Mustafa; Kamaslǎ, Mustafa; Çiloğlu, Tolga; Serinağaoğlu Doğrusöz, Yeşim; Eroǧul, Osman (null; 2008-12-01)
In recent years, several studies have shown the relationship between snoring and obstructive sleep apnea syndrome (OSAS). Besides time domain analysis of snoring signal, the spectral features and shapes of snores can be used to discriminate simple snorers and OSAS patients. In this study, we propose a method to classify simple snorers and OSAS patients based on spectral envelope estimation of snoring signals. The formant frequencies and corresponding bandwidths are computed for both group, and the variation...
Detection of post apnea sounds and apnea periods from sleep sounds
Karcı, Ersin; Serinağaoğlu Doğrusöz, Yeşim; Çiloğlu, Tolga; Department of Electrical and Electronics Engineering (2011)
Obstructive Sleep Apnea Syndrome (OSAS) is defined as a sleep related breathing disorder that causes the body to stop breathing for about 10 seconds and mostly ends with a loud sound due to the opening of the airway. OSAS is traditionally diagnosed using polysomnography, which requires a whole night stay at the sleep laboratory of a hospital, with multiple electrodes attached to the patient's body. Snoring is a symptom which may indicate presence of OSAS; thus investigation of snoring sounds, which can be r...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
D. Demirkol Çakmak, “Mobile sleep apnea detection and monitoring based on thermocouple and pulse oximeter sensors,” M.S. - Master of Science, Middle East Technical University, 2018.