Sleep Disorders Associated with Chronic Kidney Disease

Benz, Robert L.; Pressman, Mark R.; Masood, Iqbal

doi:10.5772/26908

Cited by 2 publications

References 52 publications

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Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals

Karandikar

Sa-ngasoongsong

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Obstructive sleep apnea (OSA) is a common sleep disorder that causes increasing risk of mortality and affects quality of life of approximately 6.62% of the total US population. Timely detection of sleep apnea events is vital for the treatment of OSA. In this paper, we present a novel approach based on extracting the quantifiers of nonlinear dynamic cardio-respiratory coupling from electrocardiogram (ECG) signals to detect sleep apnea events. The quantifiers of the cardio-respiratory dynamic coupling were extracted based on recurrence quantification analysis (RQA), and a battery of statistical data mining techniques were to enhance OSA detection accuracy. This approach would lead to a cost-effective and convenient means for screening of OSA, compared to traditional polysomnography (PSG) methods. The results of tests conducted using data from PhysioNets Sleep Apnea database suggest excellent quality of the OSA detection based on a thorough comparison of multiple models, using model selection criteria of validation data: Sensitivity (91.93%), Specificity (85.84%), Misclassification (11.94%) and Lift (2.7).

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Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals

Karandikar

Sa-ngasoongsong

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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The Effect of Relaxation techniques on Quality of Sleep for Patients with End Stage Renal Failure Undergoing Hemodialysis

Sayed

Younis

2016

Menoufia Nursing Journal

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Many patients on regular hemodialysis have sleep disorders, which not only affect their quality of life but also their immune function. Relaxation techniques are simply designed to teach the patients to relax, and thus improve their ability to sleep. The purpose of the study was to evaluate the effect of relaxation techniques on the quality of sleep of patients with end stage renal failure undergoing hemodialysis. The study was carried out in hemodialysis unit at Mobark Hospital, Tanta University Hospital. A convenient sample of 20 adult patients undergoing hemodialysis was selected, with one group, before and after intervention. Two instruments were used for data collection. Instrument one includes Scio demographic data assessment. Instrument two includes Pittsburgh Sleep Quality Index Scale that measures the sleep quality. The main result showed that relaxation technique improved the total score of sleep quality and its dimensions in hemodialysis patients. It is recommended that Periodic clinical assessment of sleep complaints should become routine for dialysis patients. Also, no pharmacological methods such as relaxation techniques should be used for the treatment of sleep problems in hemodialysis patients.

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Sleep Disorders Associated with Chronic Kidney Disease

Cited by 2 publications

References 52 publications

Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals

Detection of sleep apnea events via tracking nonlinear dynamic cardio-respiratory coupling from electrocardiogram signals

The Effect of Relaxation techniques on Quality of Sleep for Patients with End Stage Renal Failure Undergoing Hemodialysis

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