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Validations and Whitepapers
Study Objectives: To evaluate the accuracy, reliability, and generalizability of the Wesper Lab home sleep apnea test (HSAT) artificial intelligence (AI) automated scoring algorithm for detecting sleep-disordered breathing events.
Study Objectives: Obstructive sleep apnea is a prevalent disease with well-known complications when left untreated. Advances in sleep-disordered breathing diagnosis may increase detection and appropriate treatment.
Study Objectives: Total Sleep Time (TST) is a critical metric for the diagnosis and severity classification of sleep-disordered breathing, as indices such as the apnea–hypopnea index (AHI) and hypoxic burden are normalized by sleep duration.
Study Objectives: Hypoglossal nerve stimulation (HGNS) is an established therapy for patients with moderate to severe obstructive sleep apnea (OSA) who are unable to tolerate positive airway pressure therapy.
Study Objectives: To evaluate the accuracy of Wesper Lab’s automated oxygen desaturation detection algorithm by comparing automatically derived oxygen desaturation index (ODI) values with blinded manual scoring performed by an independent registered polysomnographic technologist.
