Results 31 to 40 of about 226,907 (323)

Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)

open access: yesInternational Journal of Behavioral Nutrition and Physical Activity, 2019
BackgroundPooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity.
Patrick Crowley   +8 more
semanticscholar   +1 more source

Rectus femoris tendon avulsion in an amateur athlete: case report diagnosed by magnetic resonance

open access: yesSemina: Ciências Biológicas e da Saúde, 2021
Introduction: the rectus femoris muscle is the most frequently injured muscle of the quadriceps group during repetitive kicking and sprinting. Avulsions of the rectus femoris are rare injuries. Pain located at the proximal thigh and disability in flexing
Thaís Amanda Frank de Almeida   +4 more
doaj   +1 more source

Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study

open access: yesbioRxiv, 2018
Background:Many large studies have implemented wrist or thigh accelerometry to capture physical activity, but the accuracy of these measurements to infer activity energy expenditure (AEE) and consequently total energy expenditure (TEE) has not been ...
Tom White   +6 more
semanticscholar   +1 more source

Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI [PDF]

open access: yesarXiv, 2023
Precise thigh muscle volumes are crucial to monitor the motor functionality of patients with diseases that may result in various degrees of thigh muscle loss. T1-weighted MRI is the default surrogate to obtain thigh muscle masks due to its contrast between muscle and fat signals.
arxiv  

Low‐frequency rTMS targeting individual self‐initiated finger‐tapping task activation modulates the amplitude of local neural activity in the putamen

open access: yesHuman Brain Mapping, Volume 44, Issue 1, Page 203-217, January 2023., 2023
A “Steady‐state” paradigm of finger‐tapping task detected that self‐initiated finger‐tapping was more intensively associated with the motor‐related brain area than visual‐guided. Low‐frequency rTMS targeting individual task peak activation could precisely elevated the local neural activity in the putamen.
Jue Wang   +6 more
wiley   +1 more source

Myxoma in a Terrier Dog: A Case Report [PDF]

open access: yesIranian Journal of Veterinary Surgery, 2007
Case Description- A seven-year-old female terrier dog with a large mass in the posterior aspect of the right thigh was referred to the Veterinary Clinic of Shahid Bahonar University of Kerman.
Amin Derakhshanfar   +2 more
doaj  

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI [PDF]

open access: yes, 2020
Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and research investigations in various conditions such as aging, diabetes mellitus, obesity, metabolic syndrome, and their associated comorbidities. Towards a fully automated, robust,
arxiv   +1 more source

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

open access: yesMagnetic Resonance Materials in Physics, Biology and Medicine, 2019
Objective Segmentation of thigh muscle and adipose tissue is important for the understanding of musculoskeletal diseases such as osteoarthritis. Therefore, the purpose of this work is (a) to evaluate whether a fully automated approach provides accurate ...
J. Kemnitz   +7 more
semanticscholar   +1 more source

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training [PDF]

open access: yesarXiv, 2022
Objective: Thigh muscle group segmentation is important for assessment of muscle anatomy, metabolic disease and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance (MR) imaging including manual annotation of individual muscles.
arxiv  

A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors [PDF]

open access: yes, 2021
Sit-to-stand transitions are an important part of activities of daily living and play a key role in functional mobility in humans. The sit-to-stand movement is often affected in older adults due to frailty and in patients with motor impairments such as Parkinson's disease leading to falls.
arxiv   +1 more source

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