Sleep stage mediated hemodynamic state modulation reflected by spectral variation of photoplethysmographic pulse volume curves

• Conditions: G47.3; Sleep apnoea

• Registration Number: DRKS00016123
• Lead Sponsor: Fachkrankenhaus Kloster Grafschaft GmbH

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2018-12-17
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Complete
• Sex: All
• Target Recruitment: 50

Inclusion Criteria

normal electricity of the heart is confirmed and sinus rhythm of the cardiac cycles is observed

Exclusion Criteria

- heart diseases and heart insufficiency are excluded
- vessel diseases are excluded

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
For each sleep stage for at least 10 samples of 32 seconds recording time the absolute values of signal intensity of each frequency peak of the FFT is determined in the range of 0-10Hz. Due to the fact that these absolute values are varying in dependence on perfusion at the oximeter site they are transformed into relative values. The sum of all amplitude maxima is set to 100% and each frequency peak is assigned by it relative contribution to 100%. For each sleep stage the homogeneity of the results of at least 10 samples is investigated by Bartlett test. When homogeneity within one sleep stage is confirmed the results for the different sleep stages are tested for significant differences (p<0.05) by analysis of variance (ANOVA). Primary outcome is reached when intra individual reproducibility of the results is confirmed that always homogeneity within one sleep stage occurs and the only differences are those in the comparison of sleep stages to each other.

Secondary Outcome Measures

Name	Time	Method
The secondary outcome is reached if the observed differences between the results of the different sleep stages are interindividually comparable values by t-test (pairs) or ANOVA (multiple). If these values are different a possible systematic influence by age, gender or body-mass-index is investigated by factorial analysis.