AIMC Topic: Exercise

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[ChatGPT in scientific research: a guide to informed use].

Epidemiologia e prevenzione
Using ChatGPT in scientific research offers revolutionary opportunities thanks to its natural language interaction capabilities and production of coherent and sophisticated text.Artificial intelligence can automate activities such as information synt...

A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Trunk rehabilitation exercises such as those for remediating core stability can help improve the seated balance of patients with weakness or loss of proprioception caused by diseases such as stroke, and aid the recovery of other functions such as gai...

Human activity recognition for analyzing stress behavior based on Bi-LSTM.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Stress is one of the critical health factors that could be detected by Human Activity Recognition (HAR) which consists of physical and mental health. HAR can raise awareness of self-care and prevent critical situations. Recently, HAR used...

Increase and Decrease in Velocity and Force During Exercise with a Hybrid Robotic-FES Rehabilitation System.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Early rehabilitation is beneficial for stroke patients, but it is often delayed since the patients are often bedbound due to their general condition. New robotic rehabilitation devices such as ROBERT® enable patients to exercise even while bedbound. ...

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 ...