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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3538) New Methods (1194) mHealth for Data Collection and Research (1282) Wearable Devices and Sensors (1235) Insomnia and Sleep Hygiene (263) Sleep Monitoring, Sleep Quality, Sleep Disorders (289) Sleep Apnea (39)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67861, first published .
Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

Accuracy of Smartphone-Mediated Snore Detection in a Simulated Real-World Setting: Algorithm Development and Validation

Authors of this article:

Jeffrey Brown1 Author Orcid Image ;   Zachary Mitchell1 Author Orcid Image ;   Yu Albert Jiang1 Author Orcid Image ;   Ryan Archdeacon1 Author Orcid Image
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  1. Carrichon H, Favier V, Cammaroto G, Dos Santos H, de Vito A, Zancanella E, Cahali M, Moniri A, Carrasco-Llatas M, Ravesloot M, Alkan U, Cheong R, Lechien J, Maniaci A, O’Connor C, Salamanca F, Jacobowitz O, Abedipour D, Decotte A, Schmitt D, Lestang P, Yona L, Huth J, Bastier P, Dufour X, De Vries N, Winck J, Olszewska E, Allali L, Lisan Q, Carsuzaa F. Definition of severity, management, and follow-up of isolated snoring in adults: An international consensus. European Annals of Otorhinolaryngology, Head and Neck Diseases 2026 View

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  1. Sun Z, Chen H. Proceedings of the 2025 3rd International Conference on Internet of Things and Cloud Computing Technology. Design and Implementation of an IoT-Enabled Intelligent Sleep-Aid Eye Mask Based on STM32 Microcontroller View