Portable obstructive sleep apnea detection and mobile monitoring

Date

2017-04-10

Author

Cakmak, Duygu Demirkol
Eyüboğlu, Behçet Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

170
views

0
downloads

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 through fatigue and sleeplessness. In this project, nasal and oral respiratory information is obtained with utilizing thermocouple and oxygen saturation in the blood is obtained with utilizing pulse oximeter. An analog hardware circuit is designed to readout thermocouple and pulse oximeter signals. According to this respiratory and pulse oximetry signals, obstructive sleep apnea is detected in real time with using 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. ARM based processor and mobile application communication is established via Bluetooth interface to reduce cabling on the patient. In summary, a portable, low cost and user friendly device to detect obstructive sleep apnea which is able to share the necessary information to the patients and doctors for the duration of the whole sleep cycle is developed.

Subject Keywords

OSA, Thermocouple, Pulse oximeter, Sleep apnea, Mobile application, Bluetooth

URI

https://hdl.handle.net/11511/43040

DOI

https://doi.org/10.1117/12.2262429

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Mobile sleep apnea detection and monitoring based on thermocouple and pulse oximeter sensors Demirkol Çakmak, Duygu; Eyüboğlu, Behçet Murat; Department of Electrical and Electronics Engineering (2018) 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...
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

D. D. Cakmak and B. M. Eyüboğlu, “Portable obstructive sleep apnea detection and mobile monitoring,” 2017, vol. 10216, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43040.