Sleep-Wake Evaluation from Whole-Night Non-Contact Audio Recordings of Breathing Sounds |
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| Authors: | Eliran Dafna Ariel Tarasiuk Yaniv Zigel |
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| Institution: | 1Department of Biomedical Engineering, Faculty of Engineering, Ben-Gurion University of the Negev, Beer–Sheva, Israel;2Sleep-Wake Disorders Unit, Soroka University Medical Center, and Department of Physiology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel;The University of Science and Technology of China, CHINA |
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| Abstract: | DesignWhole-night breathing sounds (using ambient microphone) and polysomnography (PSG) were simultaneously collected at a sleep laboratory (mean recording time 7.1 hours). A set of acoustic features quantifying breathing pattern were developed to distinguish between sleep and wake epochs (30 sec segments). Epochs (n = 59,108 design study and n = 68,560 validation study) were classified using AdaBoost classifier and validated epoch-by-epoch for sensitivity, specificity, positive and negative predictive values, accuracy, and Cohen''s kappa. Sleep quality parameters were calculated based on the sleep/wake classifications and compared with PSG for validity.SettingUniversity affiliated sleep-wake disorder center and biomedical signal processing laboratory.PatientsOne hundred and fifty patients (age 54.0±14.8 years, BMI 31.6±5.5 kg/m2, m/f 97/53) referred for PSG were prospectively and consecutively recruited. The system was trained (design study) on 80 subjects; validation study was blindly performed on the additional 70 subjects.ConclusionsThis study provides evidence that sleep-wake activity and sleep quality parameters can be reliably estimated solely using breathing sound analysis. This study highlights the potential of this innovative approach to measure sleep in research and clinical circumstances. |
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