Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …

To date, although many studies had focused on the impact of environmental factors on
sleep, how to choose the proper assessment method for objective sleep quality was often …

This paper considers a number of related inverse filtering problems for hidden Markov
models (HMMs). In particular, given a sequence of state posteriors and the system …

Sleep staging is essential in assessing sleep quality and diagnosing sleep-related
disorders, but the lack of labeled data impedes the development of automatic sleep staging …

Accelerometry is a low‐cost and noninvasive method that has been used to discriminate
sleep from wake, however, its utility to detect sleep stages is unclear. We detail the …

This chapter provides a tutorial overview and future perspectives on the historical
development and latest advances in electrocardiogram (ECG)-related studies with a focus …

The Hidden Markov Model (HMM) is a classic modelling tool with a wide swath of
applications. Its inception considered observations restricted to a finite alphabet, but it was …

This research is proposed to investigate an easy, fast, and effective method for automatic
sleep stage detection using spectral features extraction from electrocardiography (ECG) …

Analysis of sleep is important in order to detect health issues and try to prevent them. In
particular, sleep dysfunctions may be the first signs of cognitive frailties for elderly persons …

Introduction: This article, developed between 2022 and 2023 within the framework of
Applied Stochastic Processes by the SciBas group at the Universidad Distrital Francisco …