AIMC Topic: Cardiorespiratory Fitness
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Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.
Scientific reports
Jul 1, 2025
This paper presents a novel framework for accurate exercise posture recognition and health indicator prediction based on improved convolutional neural networks. We propose a multi-scale feature fusion architecture incorporating spatiotemporal attenti...
Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features.
European journal of applied physiology
Jul 3, 2024
PURPOSE: Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical ...
Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.
Scientific reports
May 31, 2024
Sociodemographic and lifestyle factors (sleep, physical activity, and sedentary behavior) may predict obesity risk in early adolescence; a critical period during the life course. Analyzing data from 2971 participants (M = 11.94, SD = 0.64 years) wear...
Effect of robot-assisted gait training on improving cardiopulmonary function in stroke patients: a meta-analysis.
Journal of neuroengineering and rehabilitation
May 30, 2024
OBJECTIVE: Understanding the characteristics related to cardiorespiratory fitness after stroke can provide reference values for patients in clinical rehabilitation exercise. This meta- analysis aimed to investigate the effect of robot-assisted gait t...
Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Mar 31, 2020
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Exercise Therapy
Exercise Tolerance
Patient Satisfaction
Cardiorespiratory Fitness
Oxygen Consumption
Augmented Reality
Stroke
Gait
Stroke Rehabilitation
Mobility Limitation
Feedback, Psychological
Aged
Male
Middle Aged
Time Factors
Treatment Outcome
Health Status
Recovery of Function
Robotics
Humans
Prospective Studies
Female
Land-walking vs. water-walking interventions in older adults: Effects on aerobic fitness.
Journal of sport and health science
Dec 23, 2019
BACKGROUND: Low cardiorespiratory fitness is an independent predictor of all-cause and cardiovascular mortality, and interventions that increase fitness reduce risk. Water-walking decreases musculoskeletal impact and risk of falls in older individual...
On the interpretability of machine learning-based model for predicting hypertension.
BMC medical informatics and decision making
Jul 29, 2019
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these complex models due to the lack of intuition and explanation of their pr...
Effect of EMG-biofeedback robotic-assisted body weight supported treadmill training on walking ability and cardiopulmonary function on people with subacute spinal cord injuries - a randomized controlled trial.
BMC neurology
Jun 24, 2019
BACKGROUND: Body weight supported treadmill training (BWSTT) is a frequently used approach for restoring the ability to walk after spinal cord injury (SCI). However, the duration of BWSTT is usually limited by fatigue of the therapists and patients. ...
Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.
PloS one
Apr 18, 2018
This study evaluates and compares the performance of different machine learning techniques on predicting the individuals at risk of developing hypertension, and who are likely to benefit most from interventions, using the cardiorespiratory fitness da...
Recovery Responses to Maximal Exercise in Healthy-Weight Children and Children With Obesity.
Research quarterly for exercise and sport
Dec 20, 2017
PURPOSE: The purpose of this study was to examine differences in heart rate recovery (HRRec) and oxygen consumption recovery (VO recovery) between young healthy-weight children and children with obesity following a maximal volitional graded exercise ...
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