AIMC Topic: Muscle Strength

Clear Filters Showing 21 to 30 of 71 articles

Prediction model of subacromial pain syndrome in assembly workers using shoulder range of motion and muscle strength based on support vector machine.

Ergonomics
Subacromial pain syndrome (SAPS) is the most common upper-extremity musculoskeletal problem among workers. In this study, a machine learning model was built to predict and classify the presence or absence of SAPS in assembly workers with shoulder joi...

Effects of robotic rehabilitation using the Erigo device on patients with neurological injury: a systematic review and meta-analysis of randomized clinical trials.

Disability and rehabilitation. Assistive technology
OBJECTIVE: To systematically review the effects of robotic rehabilitation with the Erigo device on patients with neurological injury on safety, spasticity, muscle strength, functionality, gait/balance, and changes in the level of consciousness.

Biomechanics of Volleyball Players' Run-Up and Take-Off Link under Deep Learning.

Computational intelligence and neuroscience
In volleyball, the correct approach and start (including the number of steps and stride speed) are a prerequisite for all technical movements to attack. It can not only improve the horizontal speed of the athlete, but also properly convert the total ...

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

Scandinavian journal of medicine & science in sports
The study aimed to investigate the effectiveness of an individualized power training program based on force-velocity (FV) profiling on physical function, muscle morphology, and neuromuscular adaptations in older men. Forty-nine healthy men (68 ± 5 ye...

Effects of Blood Flow Restriction Therapy for Muscular Strength, Hypertrophy, and Endurance in Healthy and Special Populations: A Systematic Review and Meta-Analysis.

Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine
OBJECTIVES: Blood flow restriction (BFR) training is an increasingly applied tool with potential benefits in muscular hypertrophy, strength, and endurance. This study investigates the effectiveness of BFR training relative to other forms of training ...

Using machine learning to investigate the relationship between domains of functioning and functional mobility in older adults.

PloS one
Previous studies have shown that functional mobility, along with other physical functions, decreases with advanced age. However, it is still unclear which domains of functioning (body structures, body functions, and activities) are most closely relat...

Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.

Archives of physical medicine and rehabilitation
OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the muscle strength of the lower limbs and by walking speed immediately after the training sessions and at the 6-week follow-up.

Aerobic Fitness is a Predictor of Body Composition in Women With Breast Cancer at Diagnosis.

Clinical breast cancer
BACKGROUND: The objective of this study was to investigate the relationship of aerobic fitness (AF) at diagnosis, before treatment and its relationship with body composition, physical function, lipidic profile, comorbidities, tumor characteristics, a...

New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.

International journal of sports medicine
The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-driven manner. The approach can be used for finding new hypotheses for risk factors and confirming the...