DocumentCode
3046948
Title
How health related to quality of sleep and breathing: How to associate sleep disorder breathing and extracted respiratory signal
Author
Tork, Sepideh ; Yazdchi, Mohammad Reza ; Karimizadeh, Arezoo
Author_Institution
Dept. of Biomed. Eng., Univ. of Isfahan, Isfahan, Iran
fYear
2013
fDate
14-16 May 2013
Firstpage
1
Lastpage
6
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.
Keywords
electrocardiography; medical signal processing; pneumodynamics; sleep; ECG Derived Respiration; Electrocardiogram; breathing pattern; breathing quality; extracted respiratory signal; health; relaxation; sleep disorder breathing; sleep quality; unconsciousness; Band-pass filters; Electrocardiography; Feature extraction; Frequency measurement; Heart rate; Modulation; Sleep apnea; ECG-Derived Respiration (EDR); Electrocardiogram (ECG); Respiratory Rate; Sequential Feature Selection; Sleep Disorders Breath;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location
Mashhad
Type
conf
DOI
10.1109/IranianCEE.2013.6599645
Filename
6599645
Link To Document