Assessing sleep architecture and continuity measures through the analysis of heart rate and wrist movements recordings in healthy subjects: comparison with results based on polysomnography

Publication date: Available online 17 February 2016
Source:Sleep Medicine
Author(s): Alain Muzet, Sandra Werner, Gil Fuchs, Thomas Roth, Jay B. Saoud, Antoine Viola, Jean-Yves Schaffhauser, Rémy Luthringer
ObjectiveThe objective of the study was to evaluate the reliability of a new methodology for assessing sleep architecture descriptors based on heart rate and body movement recordings.MethodsTwelve healthy male and female subjects between 18 and 40 years of age, without sleep disorders and not taking any drugs or medication that could affect sleep, were recorded continuously during five consecutive nights. Together with the standard polysomnography, heart rate was recorded with a Holter and wrist movements by actimetry.Of the 60 recorded nights, 48 artifact-free nights were analyzed by two independent and well-trained visual scorers according to the rules of the American Academy of Sleep Medicine. Sleep stages were assigned to every 30-s epoch. In parallel, the same nights were analyzed by the new methodology using only heart rate and actimetry data, allowing a 1-s epoch sleep stage classification. Sleep architecture was measured for 48 nights, independently for the two manual scorings and the automatic analysis.ResultsOver 42 nights, the intra-class correlation coefficient, used to assess the consistency or reproducibility of quantitative measurements made by different observers was classified as excellent when all 12 descriptors were combined. Analyses of the individual descriptors showed excellent interclass correlation for eight and good for four of the 12.ConclusionThe automatic analysis of heart rate and body movement during sleep allows for the evaluation of sleep architecture and continuity that is equivalent to those obtained by manual scoring of polysomnography. The technique used here is simple and robust to allow for home sleep monitoring.



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