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Exercise

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Redistributing Ground Reaction Forces During Squatting Using a Cable-Driven Robotic Device.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Squatting is a dynamic task that is often done for strengthening and improving balance. Most squat training systems partially support body weight. However, one of the benefits of a squat exercise is efficiently distributing the body weight among the ...

RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition.

Mathematical biosciences and engineering : MBE
Currently, identification of complex human activities is experiencing exponential growth through the use of deep learning algorithms. Conventional strategies for recognizing human activity generally rely on handcrafted characteristics from heuristic ...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

Advances in experimental medicine and biology
BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arteriosclerosis plays an important role in cognitive disorders in both vascular dementia and Alzheimer's disease. In addition, systemic metabolic disorde...

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
To establish vitamin D classification models for Chinese elderly using machine learning techniques. Based on the datasets of 2010-2012 Chinese nutrition and health surveillance, the basic information and physical exercise of the subjects were colle...

Individual versus Group Calibration of Machine Learning Models for Physical Activity Assessment Using Body-Worn Accelerometers.

Medicine and science in sports and exercise
PURPOSE: We sought to determine if individually calibrated machine learning models yielded higher accuracy than a group calibration approach for physical activity intensity assessment.

Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of exercises performed as a part of physical rehabilitation. Recent data-driven methods have explored using deep learning on 3D body-landmark sequences ...

Deep learning for biological age estimation.

Briefings in bioinformatics
Modern machine learning techniques (such as deep learning) offer immense opportunities in the field of human biological aging research. Aging is a complex process, experienced by all living organisms. While traditional machine learning and data minin...

Analysis of Risk Factors in Dementia Through Machine Learning.

Journal of Alzheimer's disease : JAD
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...

Rhabdomyolysis in a Civil Aviation Pilot.

Aerospace medicine and human performance
Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyolysis has not been reported in Chinese civil aircrew, but in our case report a male civil copilot contracted rhabdomyolysis after excessive exercise, sh...