Results 31 to 40 of about 34,081 (232)

Video8 - Accelerometry of a complete injection.mp4

, 2022
Accelerometry of a 70 ms long injection event of water at 5 bar. The sequence is taken at a camera frame-rate of 75 kHz and an illumination rate of 333 kHz - i.e.
Vassily Kornienko (8601207)
core   +1 more source

Physical performance analysis: A new approach to assessing free-living physical activity in musculoskeletal pain and mobility-limited populations.

PLoS ONE, 2017
BackgroundAccurate measurement of physical performance in individuals with musculoskeletal pain is essential. Accelerometry is a powerful tool for this purpose, yet the current methods designed to evaluate energy expenditure are not optimized for this ...
Matthew Smuck, Christy Tomkins-Lane, Ma Agnes Ith, Renata Jarosz, Ming-Chih Jeffrey Kao   +4 more
doaj   +1 more source

Accelerometric Assessment of Postural Balance in Children: A Systematic Review

Diagnostics, 2020
The correct development of postural control in children is fundamental to ensure that they fully reach their psychomotor capacities. However, this capacity is one of the least studied in the clinical and academic scope regarding children.
Jose L. García-Soidán, Raquel Leirós-Rodríguez, Vicente Romo-Pérez, Jesús García-Liñeira   +3 more
doaj   +1 more source

Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank.

PLoS Medicine, 2021
BackgroundSleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale.
Michael Wainberg, Samuel E Jones, Lindsay Melhuish Beaupre, Sean L Hill, Daniel Felsky, Manuel A Rivas, Andrew S P Lim, Hanna M Ollila, Shreejoy J Tripathy   +8 more
doaj   +1 more source

Device-based physical activity measures for population surveillance—issues of selection bias and reactivity

Frontiers in Sports and Active Living, 2023
BackgroundDevice-based measurement in physical activity surveillance is increasing, but research design choices could increase the risk of self-selection bias and reactive behaviour. The aim of this study is to compare the self-reported physical activity
Lars Breum Christiansen, Sofie Koch, Adrian Bauman, Adrian Bauman, Mette Toftager, Christina Bjørk Petersen, Jasper Schipperijn   +6 more
doaj   +1 more source

Are Family Physical Activity Habits Passed on to Their Children?

Frontiers in Psychology, 2021
Studies of the familial association of physical activity (PA) and sedentary behavior (SB) have increased in recent years. However, there is a lack of studies that have objectively examined the correlates between parents, grandparents, and childrens' PA ...
Vinko Zovko, Vinko Zovko, Sasa Djuric, Vedrana Sember, Gregor Jurak   +4 more
doaj   +1 more source

Accelerometry and Self-report in Sedentary Populations [PDF]

American Journal of Health Behavior, 2011
To determine whether self-reported exercise duration and intensity matched accelerometer data in sedentary endometrial cancer survivors and age-matched controls.Participants were asked to wear an accelerometer and self-report exercise bouts, duration, and intensity for one week.
Jennifer L, Jovanovic, Daniel C, Hughes, George P, Baum, Cindy, Carmack, Anthony J, Greisinger, Karen, Basen-Engquist   +5 more
openaire   +2 more sources

Energy expenditure compared to physical activity measured by accelerometry and self-report in adolescents: a validation study.

PLoS ONE, 2013
BackgroundPhysical inactivity is responsible for 5.3 million deaths annually worldwide. To measure physical activity energy expenditure, the doubly labeled water (DLW) method is the gold standard. However, questionnaires and accelerometry are more widely
Pedro C Hallal, Felipe F Reichert, Valerie L Clark, Kelly L Cordeira, Ana M B Menezes, Simon Eaton, Ulf Ekelund, Jonathan C Wells   +7 more
doaj   +1 more source

Using Machine Learning for Remote Behaviour Classification—Verifying Acceleration Data to Infer Feeding Events in Free-Ranging Cheetahs

Sensors, 2021
Behavioural studies of elusive wildlife species are challenging but important when they are threatened and involved in human-wildlife conflicts. Accelerometers (ACCs) and supervised machine learning algorithms (MLAs) are valuable tools to remotely ...
Lisa Giese, Jörg Melzheimer, Dirk Bockmühl, Bernd Wasiolka, Wanja Rast, Anne Berger, Bettina Wachter   +6 more
doaj   +1 more source

24 h-accelerometry in epidemiological studies: automated detection of non-wear time in comparison to diary information

Scientific Reports, 2017
Estimation of physical activity using 24 h-accelerometry requires detection of accelerometer non-wear time (NWT). It is common practice to define NWT as periods >60 minutes of consecutive zero-accelerations, but this algorithm was originally developed ...
Lina Jaeschke, Agnes Luzak, Astrid Steinbrecher, Stephanie Jeran, Maike Ferland, Birgit Linkohr, Holger Schulz, Tobias Pischon   +7 more
doaj   +1 more source