AIMC Topic: Exercise Tolerance
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Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).
The American journal of cardiology
Aug 30, 2017
Previous studies have demonstrated that cardiorespiratory fitness is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined ca...
The effectiveness of Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressIve MultiplE sclerosis patients (RAGTIME): study protocol for a randomized controlled trial.
Trials
Feb 27, 2017
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to ...
Clinical Protocols
Multiple Sclerosis, Chronic Progressive
Exercise Therapy
Exercise Tolerance
Muscle Fatigue
Mobility Limitation
Muscle, Skeletal
Recovery of Function
Robotics
Postural Balance
Disability Evaluation
Single-Blind Method
Italy
Walking
Gait
Adolescent
Time Factors
Persons with Disabilities
Treatment Outcome
Humans
Neuronal Plasticity
Research Design
Male
Biomarkers
Middle Aged
Female
Severity of Illness Index
Aged
Surveys and Questionnaires
Young Adult
Adult
Biomechanical Phenomena
Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study.
Circulation. Heart failure
Jun 1, 2025
BACKGROUND: Heart failure (HF) is a highly prevalent condition characterized by exercise intolerance, an important metric for ambulatory prognostication. However, current methods to assess exercise capacity are often limited to tertiary HF centers, l...
Neural Networks for Prognostication of Patients With Heart Failure.
Circulation. Heart failure
Aug 1, 2018
Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-series data into summary indices. We hypothesized that prognostication could be improved by considering t...
Effects of the Integration of Dynamic Weight Shifting Training Into Treadmill Training on Walking Function of Children with Cerebral Palsy: A Randomized Controlled Study.
American journal of physical medicine & rehabilitation
Nov 1, 2017
OBJECTIVE: The aim of the study was to determine whether applying an assistance force to the pelvis and legs during treadmill training can improve walking function in children with cerebral palsy.
P569Diastolic dyssynchrony is associated with exercise intolerance in hypertensive patients with left ventricular hypertrophy.
European heart journal. Cardiovascular Imaging
Dec 1, 2016
BACKGROUND: Left ventricular hypertrophy (LVH) is associated with intra-ventricular dyssynchrony at systolic phase during exercise in hypertensive patients. However, dypsnea on exertion is much more correlated with diastolic phase. We investigated wh...
Robot-assisted gait training improves brachial-ankle pulse wave velocity and peak aerobic capacity in subacute stroke patients with totally dependent ambulation: Randomized controlled trial.
Medicine
Oct 1, 2016
OBJECTIVE: Brachial-ankle pulse wave velocity (baPWV) evaluates arterial stiffness and also predicts early outcome in stroke patients. The objectives of this study were to investigate arterial stiffness of subacute nonfunctional ambulatory stroke pat...
Robot-assisted training for heart failure patients - a small pilot study.
Acta cardiologica
Dec 1, 2015
OBJECTIVE: The objective of this study was assess robot-assisted gait therapy with the Lokomat® system in heart failure patients.
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