Background
Type: Conference paper

How health related to quality of sleep and breathing: How to associate sleep disorder breathing and extracted respiratory signal

Journal: 2025 29th International Computer Conference, Computer Society of Iran, CSICC 2025 ()Year: 2013Volume: Issue:
Yazdchi M.aTork S. Karimizadeh A.Tork S.Tork S.Tork S.Yazdchi M.aYazdchi M.aYazdchi M.a Karimizadeh A. Karimizadeh A. Karimizadeh A.
DOI:10.1109/IranianCEE.2013.6599645Language: English

Abstract

Sleeping is an important part of human's life because of its state of unconsciousness and relaxation. According to today's common problems, such as increased risks of social, economic and healthcare, disturbances or interruptions in breathing pattern may occur during sleep or it may be discontinued that knows as Sleep Disorders Breath(SDB). Thus, the researchers used an abnormal breathing pattern and characteristics of sleep to detect disorder and help these patients. In this way without any extra equipment, using ECG-Derived Respiration from Electrocardiogram can be a noninvasive, low-cost measurement of respiration wave. In this research, three major methods reinvestigate and the accurate method with the accuracy of 0.9 selected. EDR can be classified by a linear discriminate classification to normal or abnormal (apnea) epoch. In conclusion part, three methods were compared and by selecting the more accurate one, EDR epoch were classified by more than 79.66% accuracy. © 2013 IEEE.


Author Keywords

ECG-Derived Respiration (EDR)Electrocardiogram (ECG)Respiratory RateSequential Feature SelectionSleep Disorders Breath

Other Keywords

Electrical engineeringElectrocardiographyBreathing patternsECG-Derived Respiration (EDR)Low-cost measurementsRespiratory rateRespiratory signalsSequential feature selectionsSleep disordersSleep research