AIMC Topic: Exercise Test
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Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.
Expert review of respiratory medicine
Mar 2, 2025
BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET res...
Robot-Aided Training of Propulsion: Effects of Torque Pulses Applied to the Hip and Knee Joint Under User-Driven Treadmill Control.
IEEE transactions on bio-medical engineering
Jan 15, 2025
OBJECTIVE: to establish whether torque pulses applied by an exoskeleton to the hip and knee joint modulate propulsion mechanics and whether changes in propulsion mechanics are sustained after exposure to torque pulses under user-driven treadmill cont...
Strategies for creation of data reserve and stress testing of medical AI products.
BMJ health & care informatics
Dec 4, 2024
With the fast development of artificial intelligence (AI) and its applications in medicine, it is often said that the time for intelligent medicine is arriving, if not already have arrived. While there is no doubt that AI-centred intelligent medicine...
Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.
Journal of biomechanics
Oct 28, 2024
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challenging. For interventions like treadmill training, there are multiple parameters, such as speed or incline, that can be adjusted throughout sessions. T...
Validity and Reliability of OpenPose-Based Motion Analysis in Measuring Knee Valgus during Drop Vertical Jump Test.
Journal of sports science & medicine
Sep 1, 2024
OpenPose-based motion analysis (OpenPose-MA), utilizing deep learning methods, has emerged as a compelling technique for estimating human motion. It addresses the drawbacks associated with conventional three-dimensional motion analysis (3D-MA) and hu...
Consumer-priced wearable sensors combined with deep learning can be used to accurately predict ground reaction forces during various treadmill running conditions.
PeerJ
Aug 29, 2024
Ground reaction force (GRF) data is often collected for the biomechanical analysis of running, due to the performance and injury risk insights that GRF analysis can provide. Traditional methods typically limit GRF collection to controlled lab environ...
From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes.
PloS one
Aug 29, 2024
Lactate analysis plays an important role in sports science and training decisions for optimising performance, endurance, and overall success in sports. Two parameters are widely used for these goals: aerobic (AeT) and anaerobic (AnT) thresholds. Howe...
Comparing the effectiveness of robotic plantarflexion resistance and biofeedback between overground and treadmill walking.
Journal of biomechanics
Aug 16, 2024
Individuals with diminished walking performance caused by neuromuscular impairments often lack plantar flexion muscle activity. Robotic devices have been developed to address these issues and increase walking performance. While these devices have sho...
Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling.
Journal of sports sciences
Aug 7, 2024
The purpose of this study was to test whether a machine learning model can accurately predict VO across different exercise intensities by combining muscle oxygen (MO) with heart rate (HR). Twenty young highly trained athletes performed the following ...
Estimating highest capacity propulsion performance using backward-directed force during walking evaluation for individuals with acquired brain injury.
Journal of neuroengineering and rehabilitation
Aug 5, 2024
There are over 5.3 million Americans who face acquired brain injury (ABI)-related disability as well as almost 800,000 who suffer from stroke each year. To improve mobility and quality of life, rehabilitation professionals often focus on walking reco...
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