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Validation of a New Algorithm for Screening Sleep Apnea Syndrome From Electrocardiogram

NCT04759482 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2021-02-18

No results posted yet for this study

Summary

Sleep apnea syndrome is a prevalent disease, recognized as an independant risk factor for cardiovascular diseases The gold standard for the diagnosis of sleep apnea is the polysomnography. But polysomnography is time-consuming and very expensive. We developed an algorithm for screening sleep apnea from electrocardiographic signal. This would lead to the simplification of screening sleep apnea by using a two-channels recording device and computerizing the scoring of respiratory events. The validation of the algorithm will consist in comparing the number of apnea and hypopnea per hour of sleep (AHI) detected by the algorithm from the electrocardiographic signal recorded during a standard polysomnography in the Center for Sleep Medicine and Research in Nancy, with the AHI resulted from the standard interpretation of the same polysomnography by experts in sleep scoring (gold standard).

Conditions

Interventions

DIAGNOSTIC_TEST

polysomnography

Polysomnography consisted in recording sleep parameters during one night, using a non-invasive multi-channels device, including respiratory sensors, electrocardiogram and electroencephalogram

Sponsors & Collaborators

  • Central Hospital, Nancy, France

    lead OTHER

Principal Investigators

  • El Mehdi Siaghy · Research and Innovation Department

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-03-01
Primary Completion
2021-04-01
Completion
2021-05-01

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04759482 on ClinicalTrials.gov