Electrocardiography Data Analysis in Sleep Disorders

Completed

Conditions studied: Sleep Disorders, Sleep Apnea, Sleep Disordered Breathing

In brief

The objective of this study is to determine if a non-invasive technique, using an innovative analysis of electrocardiogram (ECG) data, would allow for detection of respiratory events during sleep and discrimination between central and obstructive apnea. Obstructive Sleep Apnea (OSA) is the most common respiratory disturbance seen during sleep, with an estimated prevalence of 10 % in the population and is strongly associated with the development of cardiovascular disease. In patients with underlying cardiac disease, particularly in heart failure (HF), central respiratory events such as Cheyne-Stokes Respiration (CSR) are often seen during sleep. The presence of CSR is also associated with increased cardiovascular morbidity and mortality. Currently, the identification and classification of sleep related respiratory disturbances is performed during over-night sleep studies (polysomnography), which are labor-intensive, time-consuming, expensive and difficult for patients. Thus, the development of alternative techniques to assist in the identification of those events in the outpatient setting is of marked importance for widespread screening of sleep apnea.

Key facts

Study ID

NCT02188498

Run by

Weill Medical College of Cornell University

People needed

120

Starts

2013-09-01

Expected to finish

2017-12-01

Last updated by the study team

2019-01-04

Who can join

Age: 18 and older, up to 95. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Patients presenting to the WCMC Sleep Center for polysomnography

You may not qualify if…

• N/A

Where it is running

• Weill Cornell Center for Sleep Medicine — New York, New York, United States

Full record on ClinicalTrials.gov

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