The future of sleep health: a data-driven revolution in sleep science and medicine

I Perez-Pozuelo, B Zhai, J Palotti, R Mall… - NPJ digital …, 2020 - nature.com
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

Use of actigraphy to characterize inactivity and activity in patients in a medical ICU

P Gupta, JL Martin, DM Needham, S Vangala… - Heart & Lung, 2020 - Elsevier
Background In the intensive care unit (ICU), inactivity is common, contributing to ICU-
acquired weakness and poor outcomes. Actigraphy may be useful for measuring activity in …

Monitoring the sleep patterns of people with dementia and their family carers in the community

RH Gibson, PH Gander - Australasian journal on ageing, 2019 - Wiley Online Library
Objectives Gold‐standard overnight polysomnography does not reliably capture highly
variable sleep patterns across the 24‐hour day that are common with dementia and often …

Smartphone sensors for monitoring cancer-related quality of life: app design, EORTC QLQ-C30 map** and feasibility study in healthy subjects

S Asensio-Cuesta, Á Sánchez-García… - International Journal of …, 2019 - mdpi.com
Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials
on cancer treatments. Technology-free daily monitoring of patients is complicated, time …

A novel approach to improve the planning of adaptive and interactive sessions for the treatment of major depression

A Bresó, J Martínez-Miranda, E Fuster-García… - International Journal of …, 2016 - Elsevier
Abstract Human Computer Interaction (HCI) is a research field which aims to improve the
relationship between users and interactive computer systems. A main objective of this …

Complexity of body movements during sleep in children with autism spectrum disorder

N Furutani, T Takahashi, N Naito, T Maruishi… - Entropy, 2021 - mdpi.com
Recently, measuring the complexity of body movements during sleep has been proven as
an objective biomarker of various psychiatric disorders. Although sleep problems are …

Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research

FY Ruan, A Zhang, JY Oh, SY **… - arxiv preprint arxiv …, 2024 - arxiv.org
Wearable accelerometry (actigraphy) has provided valuable data for clinical insights since
the 1970s and is increasingly important as wearable devices continue to become …

[PDF][PDF] Personalised modelling of geographic movements in depression

N Palmius - 2018 - ora.ox.ac.uk
It has been estimated that as many as 41% of individuals will experience depression at
some point in their lives, a serious and debilitating mental illness. One way to improve the …

Estimation of Circadian Rhythms through EEG Signals by Temporal-Scale-Specific Fractal Dimensions

AT Tran, Y Iinuma, S Nobukawa - 2022 IEEE 4th Global …, 2022 - ieeexplore.ieee.org
Circadian rhythms are involved in many human behaviors and biological signals. The critical
role of circadian rhythm in maintaining homeostasis is well established, in which …

On the possibility of mathematical unification for the currently applied analysis of actigraphic recordings

P Biegański, A Stróż, A Duszyk, M Dovgialo… - … and Developments of …, 2022 - Springer
Actigraphy is a simple and non-invasive method of monitoring human motor activity. While
the recordings are obtained from accelerometers in a simple manner, the analysis and …