A consumer wearable device for tracking sleep respiratory events.
Pasquale Tondo, Francesco Dell'Olio, Donato Lacedonia, Roberto Sabato, Rosa Leccisotti, Maria Pia Foschino Barbaro, Giulia Scioscia
Author Information
Pasquale Tondo: Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 1 - 71122, Foggia, Italy. pasquale.tondo@unifg.it. ORCID
Francesco Dell'Olio: Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125, Bari, Italy.
Donato Lacedonia: Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 1 - 71122, Foggia, Italy.
Roberto Sabato: Respiratory and Intermediate Care Unit, "Policlinico Foggia" University Hospital, 71122, Foggia, Italy.
Rosa Leccisotti: Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 1 - 71122, Foggia, Italy.
Maria Pia Foschino Barbaro: Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 1 - 71122, Foggia, Italy.
Giulia Scioscia: Department of Medical and Surgical Sciences, University of Foggia, Viale Luigi Pinto, 1 - 71122, Foggia, Italy.
PURPOSE: The diagnosis of obstructive sleep apnea (OSA) is instrument, operator, and time-dependent and therefore requires long waiting times. In recent decades, technological development has produced useful devices to monitor the health status of the population, including sleep. Therefore, the aim of this study was to evaluate a wearable device (WD) in a group of individuals at high risk of OSA. METHODS: The study was conducted on consecutive subjects with high risk of OSA assessed by sleep questionnaires and clinical evaluation. All subjects performed cardio-respiratory monitoring (CRM) and WD simultaneously on a single night, after which the parameters of the two sleep investigations were compared. RESULTS: Of 20 individuals enrolled, 60% were men and mean age was 57.3 ± 10.7 years. The apnea-hypopnea index (AHI) for the CRM was 23.1 ± 19.6 events·h while it was 10.3 ± 8.3 events·h for the WD. Correlation analysis between the results of the two investigations showed r = 0.19 (p = 0.40) for AHI and r = 0.4076 (p = 0.07) for sO2%. The accuracy for different stages of OSA severity was 70% in OSA cases and 60% in moderate to severe cases with sensitivity and specificity varying a great deal. CONCLUSION: Small and low-cost devices may prove to be a valuable resource to reduce costs and waiting times for a sleep investigation in suspected OSA. However, diagnosis of sleep apnea requires valid and reliable instruments, so validation tests are necessary before a device can be commercialized.
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