Abstract Study Objectives: To compare the accuracy of automatic sleep staging based on
heart rate variability measured from photoplethysmography (PPG) combined with body …

Actigraphy is widely used in sleep studies but lacks a universal unsupervised algorithm for
sleep/wake identification. An unsupervised algorithm is useful in large-scale population …

Overnight polysomnography (PSG) is the gold standard tool used to characterize sleep and
for diagnosing sleep disorders. PSG is a non-invasive procedure that collects various …

Sleep is a state of reversible disconnection from the environment and plays an exceptionally
essential role in maintaining internal homeostasis, memory consolidation, energy …

Background Sleep is increasingly recognized as a crucial component to rapid and
successful rehabilitation, especially from traumatic brain injuries (TBIs). Assessment of …

The development of computerized sleep analysis has been very much technology-driven by
both mathematical tools and available hardware but, additionally and unfortunately, by the …

This paper presents a systematic review of automatic sleep staging studies.
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …

Background Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia.
However, this consensual approach might be tempered in the light of two ongoing …

Objectives: We validated actigraphy for detecting sleep and wakefulness versus
polysomnography (PSG). Design: Actigraphy and polysomnography were simultaneously …

Background Estimation of sleep parameters by wrist actigraphy is highly dependent on
performance of the interpretative algorithm (IA) that converts movement data into sleep/wake …