Stefano Gioda
Sleep Stages Classification in Sleep Disorder Patients: Integrating Wearable and Contactless Commercial Devices.
Rel. Gabriella Olmo, Robert Riener. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
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Abstract
Sleep disorders decrease the quality of sleep for affected individuals, potentially leading to serious, negative health effects. Therefore, it is essential to promptly diagnose these disorders and subsequently monitor their progression. The diagnosis of sleep disorders involves the examination of sleep, categorized into distinct stages, with polysomnography (PSG) currently considered the gold standard for assessment. However, PSG has limitations: it is expensive, time-consuming, complicated to operate, obtrusive, and usually only performed on a single night. One possible solution to these limitations is to leverage commercially available wearable and contactless devices that are already capable of providing sleep stages classification. These devices are affordable, easy to use, comfortable, and suitable for multiple nights of use.
To investigate this alternative, this study analyzes the data collected from patients with sleep disorders to whom two wearable devices (Fitbit Inspire 2 and Empatica E4) and two contactless devices (Somnofy and Emfit) were added during PSG
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