• J Clin Sleep Med · Mar 2017

    Comparative Study

    Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.

    • Asher Tal, Zvika Shinar, David Shaki, Shlomi Codish, and Aviv Goldbart.
    • Soroka Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev.
    • J Clin Sleep Med. 2017 Mar 15; 13 (3): 517-522.

    Study ObjectivesTo validate a contact-free system designed to achieve maximal comfort during long-term sleep monitoring, together with high monitoring accuracy.MethodsWe used a contact-free monitoring system (EarlySense, Ltd., Israel), comprising an under-the-mattress piezoelectric sensor and a smartphone application, to collect vital signs and analyze sleep. Heart rate (HR), respiratory rate (RR), body movement, and calculated sleep-related parameters from the EarlySense (ES) sensor were compared to data simultaneously generated by the gold standard, polysomnography (PSG). Subjects in the sleep laboratory underwent overnight technician-attended full PSG, whereas subjects at home were recorded for 1 to 3 nights with portable partial PSG devices. Data were compared epoch by epoch.ResultsA total of 63 subjects (85 nights) were recorded under a variety of sleep conditions. Compared to PSG, the contact-free system showed similar values for average total sleep time (TST), % wake, % rapid eye movement, and % non-rapid eye movement sleep, with 96.1% and 93.3% accuracy of continuous measurement of HR and RR, respectively. We found a linear correlation between TST measured by the sensor and TST determined by PSG, with a coefficient of 0.98 (R = 0.87). Epoch-by-epoch comparison with PSG in the sleep laboratory setting revealed that the system showed sleep detection sensitivity, specificity, and accuracy of 92.5%, 80.4%, and 90.5%, respectively.ConclusionsTST estimates with the contact-free sleep monitoring system were closely correlated with the gold-standard reference. This system shows good sleep staging capability with improved performance over accelerometer-based apps, and collects additional physiological information on heart rate and respiratory rate.© 2017 American Academy of Sleep Medicine

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