Non-wear or sleep? Evaluation of five non-wear detection algorithms for raw accelerometer data-Reference-Cited by-同舟云学术

Non-wear or sleep? Evaluation of five non-wear detection algorithms for raw accelerometer data

Published:2019-12-11 Issue:4 Volume:38 Page:399-404
ISSN:0264-0414
Container-title:Journal of Sports Sciences
language:en
Short-container-title:Journal of Sports Sciences

Author:

Ahmadi Matthew N.¹^ORCID,Nathan Nicole²³⁴⁵^ORCID,Sutherland Rachel²³⁴⁵,Wolfenden Luke²³⁴⁵,Trost Stewart G.¹^ORCID

Affiliation:

1. Institute of Health and Biomedical Innovation at QLD Centre for Children’s Health Research, School of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Australia

2. Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, Australia

3. School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia

4. Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, Australia

5. Hunter Medical Research Institute, New Lambton Heights NSW, Newcastle, Australia

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/02640414.2019.1703301

Reference35 articles.

1. Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X

2. Relationships between sleep, physical activity and human health

3. Identifying Children’s Nocturnal Sleep Using 24-h Waist Accelerometry

4. Validation of Accelerometer Wear and Nonwear Time Classification Algorithm

5. Assessment of Wear/Nonwear Time Classification Algorithms for Triaxial Accelerometer

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