Results 211 to 220 of about 105,657 (309)

Using wingbeat frequency to estimate mass gain

Methods in Ecology and Evolution, EarlyView.
Abstract Energy intake is a fundamental currency in ecology that is critical to reproductive success, survival and lifetime fitness. Measuring foraging success in wild animals via biologgers has been a long‐standing challenge but is essential to understanding the mechanisms underlying population dynamics and species distributions.
Allison Patterson, Marie Auger‐Méthé, Kyle Elliott   +2 more
wiley   +1 more source

Digital Sleep-Wake Cycle Metrics and Dementia Prediction in Older Adults.

JAMA Neurol
Cavaillès C, Danilevicz IM, Vidil S, Fayosse A, Chen M, van Hees V, Kivimäki M, Dugravot A, Singh-Manoux A, Sabia S.   +9 more
europepmc   +1 more source

Deep Learning-Based Heartbeat Detection from 3D Seismocardiography for Robust Heart Rate Monitoring. [PDF]

Sensors (Basel)
Rana S, Lipponen JA, Tarvainen MP.
europepmc   +1 more source

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Criterion Validity of the Yale Physical Activity Survey (YPAS) in Croatian Older Adults. [PDF]

Acta Med Acad
Ban M, Ćosić T, Canjuga I, Matić I, Mijoč V.   +4 more
europepmc   +1 more source

Physical Activity Profile of School‐Aged Children Born Very Preterm and Its Association With Sleep

Acta Paediatrica, EarlyView.
ABSTRACT Aim To describe the association between different physical activity and sleep parameters in school‐aged children born very preterm. Methods A cross‐sectional analysis was done in a cohort of 6‐ to 10‐year‐old children born at < 32 weeks' gestation at the Department of Neonatology, University of Tübingen, Germany.
Maham Hassan, Saskia Koller, Annkathrin Gies, Axel R. Franz, Johanna Catharina Brückner, Vadim Förster, Christian F. Poets, Christoph Randler, Cornelia Wiechers, Mirja Quante   +9 more
wiley   +1 more source

Physical activity monitoring using wearable devices based on machine learning algorithms. [PDF]

Front Sports Act Living
Zhang Z, Ren Y, Zeng J, Ma Q.
europepmc   +1 more source

Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles

Computer Graphics Forum, EarlyView.
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton, E. Alvarado, L. G. Foo, N. Pelechano, C. Andujar, M. Habermann   +5 more
wiley   +1 more source

Gross motor performance of infants with an at‐home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study

Developmental Medicine &Child Neurology, EarlyView.
Abstract Aim To evaluate the concurrent validity of assessing infants' gross motor performance with an at‐home wearable measurement versus the Alberta Infant Motor Scale (AIMS). Method This observational study used a new multi‐sensor wearable Motor Assessment of Infants with a JUmpsuit (MAIJU) for 67 at‐home measurements of 42 infants (60% males; mean ...
Manu Airaksinen, Taru Palsa, Arto Hautala, Marike Boonzaaijer, Leena M. Haataja, Sampsa Vanhatalo   +5 more
wiley   +1 more source

Exploring the associations between physical activity, sleep, sedentary behaviour, and mental health in young German children. [PDF]

J Act Sedentary Sleep Behav
Osojnicki K, Brandes B, Brandes M, Zeeb H, Vallis LA, Buck C.   +5 more
europepmc   +1 more source