Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography-Reference-Cited by-同舟云学术

Development and performance of a sleep estimation algorithm using a single accelerometer placed on the thigh: an evaluation against polysomnography

Published:2022-09-27 Issue:2 Volume:32 Page:
ISSN:0962-1105
Container-title:Journal of Sleep Research
language:en
Short-container-title:Journal of Sleep Research

Author:

Johansson Peter J.¹^ORCID,Crowley Patrick²,Axelsson John³,Franklin Karl⁴,Garde Anne Helene²,Hettiarachchi Pasan¹,Holtermann Andreas²,Kecklund Göran³,Lindberg Eva¹,Ljunggren Mirjam¹^ORCID,Stamatakis Emmanuel⁵,Theorell Haglöw Jenny¹^ORCID,Svartengren Magnus¹

Affiliation:

1. Department of Medical Sciences, Occupational and Environmental Medicine Uppsala University, Uppsala University Hospital Uppsala Sweden

2. The National Research Centre for the Working Environment Copenhagen Denmark

3. Department of Psychology, Department of Clinical Neuroscience Stress Research Institute, Karolinska Institutet, Stockholm University Stockholm Sweden

4. Department of Surgical and Perioperative Sciences, Surgery Umeå University Umeå Sweden

5. Charles Perkins Centre, Faculty of Medicine and Health, School of Health Sciences University of Sydney Sydney Australia

Funder

AFA Försäkring

British Heart Foundation

Forskningsrådet om Hälsa, Arbetsliv och Välfärd

National Health and Medical Research Council

Publisher

Wiley

Subject

Behavioral Neuroscience,Cognitive Neuroscience,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jsr.13725

Reference36 articles.

1. Measuring agreement in method comparison studies

2. World Health Organization 2020 guidelines on physical activity and sedentary behaviour

3. Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Model-Based Turn-Over Intention Recognition of Array Air Spring Mattress;Arabian Journal for Science and Engineering;2024-09-09

2. A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information;Nature and Science of Sleep;2024-06

3. The “sweet- and sour-spot” of occupational physical activity for back pain: a prospective accelerometer study among eldercare workers;Scandinavian Journal of Work, Environment & Health;2024-05-30

4. Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose–response associations from the Prospective Physical Activity, Sitting and Sleep Consortium;Diabetologia;2024-03-13

5. Sleeping position detection based on multi-domain features of ballistocardiogram;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19