Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/0028-3932(74)90078-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Biomarkers.
Alzheimers Dement
December 2024
Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA.
Background: Within the research field of neurodegenerative disorders, unbiased analysis of body fat composition, particularly muscle mass, is gaining attention as a potential biological marker for refining Alzheimer's disease risk. The objective of this study was to employ a deep learning model for fully automated and accurate segmentation of thigh tissues, potentially contributing to early Alzheimer's diagnostics.
Method: In an IRB-approved study, 49 participants underwent thigh Dixon MRI scans with a TR=9.
Plantar cutaneous sensation is independently associated with postural balance and lower limb motor function in older adults: the Shizuoka study.
Eur Geriatr Med
January 2025
Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan.
Purpose: A relationship between decreased plantar cutaneous sensation and impaired balance function has been reported in patients with peripheral neuropathy and diabetes. This cross-sectional study aimed to investigate the relationship between plantar sensation and postural balance, as well as the association between plantar sensation and sarcopenia-related motor function in community-dwelling older adults.
Methods: The participants included 1659 community-dwelling older adults with a mean age of 74 ± 5 years, of which 43% were male patients.
A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb.
Sci Rep
January 2025
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone to human errors. We propose a novel, deep-learning-based approach to automatic detection of 3D landmarks in CT images of the lower limb.
View Article and Find Full Text PDFExplainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions.
Sci Rep
January 2025
School of Dance and Martial Arts, Capital University of Physical Education and Sports, Beijing, 100191, China.
How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring method based on machine learning. Firstly, the key features are extracted by the feature alignment technique, which eliminates the influence of athletes' movement speed, rhythm and duration on the scoring, thus reflecting the athletes' skill level more realistically.
View Article and Find Full Text PDFHuman motion similarity evaluation based on deep metric learning.
Sci Rep
December 2024
College of Sports, Beihua University, Jilin, 132000, China.
In order to eliminate the impact of camera viewpoint factors and human skeleton differences on the action similarity evaluation and to address the issue of human action similarity evaluation under different viewpoints, a method based on deep metric learning is proposed in this article. The method trains an automatic encoder-decoder deep neural network model by means of a homemade synthetic dataset, which maps the 2D human skeletal key point sequence samples extracted from motion videos into three potential low-dimensional dense spaces. Action feature vectors independent of camera viewpoint and human skeleton structure are extracted in the low-dimensional dense spaces, and motion similarity metrics are performed based on these features, thereby effectively eliminating the effects of camera viewpoint and human skeleton size differences on motion similarity evaluation.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!