ArticlePLoS computational biology2020
Differences between joint-space and musculoskeletal estimations of metabolic rate time profiles.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Estimation of walking energy expenditure using a single sacrum-mounted IMU based on biomechanically-informed machine learning.Scientific reports · 2025Article
- Optimization of Actuator Stiffness and Actuation Timing of a Passive Ankle Exoskeleton: A Case Study Using a Musculoskeletal Modeling Approach.Biomimetics (Basel, Switzerland) · 2025Article
- EMG-Based Simulation for Optimization of Human-in-the-Loop Control in Simple Robotic Walking Assistance.Journal of sensor and actuator networks · 2025Article
- Natural variability can increase human walking metabolic costs and its implications to simulation-based metabolic estimation.Journal of the Royal Society, Interface · 2025Article
- Toe-In and Toe-Out Walking Patterns and Lateral Wedge Insoles: A Musculoskeletal Simulation and Probabilistic Modelling Assessment of Medial Tibiofemoral Cartilage Mechanics.Life (Basel, Switzerland) · 2025Article
- Propulsion without penalty: greater soleus force with stiffer footwear does not necessarily increase estimated soleus metabolic cost across walking speeds.Journal of applied physiology (Bethesda, Md. : 1985) · 2025Article
- Predicting lower body joint moments and electromyography signals using ground reaction forces during walking and running: An artificial neural network approach.Gait & posture · 2025Article
- Estimating within-stride metabolic cost from stride-average data using autoencoders and expander networks.Frontiers in bioengineering and biotechnology · 2025Article
- Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction.Frontiers in robotics and AI · 2025Article
- Insights into muscle metabolic energetics: Modelling muscle-tendon mechanics and metabolic rates during walking across speeds.PLoS computational biology · 2024Article
- Perturbation-based estimation of within-stride cycle metabolic cost.Journal of neuroengineering and rehabilitation · 2024Article
- Ground Reaction Forces and Joint Moments Predict Metabolic Cost in Physical Performance: Harnessing the Power of Artificial Neural Networks.Applied sciences (Basel, Switzerland) · 2024Article
- Design and Evaluation of a Bilateral Semi-Rigid Exoskeleton to Assist Hip Motion.Biomimetics (Basel, Switzerland) · 2024Article
- Does human foot anthropometry relate to plantar flexor fascicle mechanics and metabolic energy cost across various walking speeds?The Journal of experimental biology · 2023Article
- Metabolically efficient walking assistance using optimized timed forces at the waist.Science robotics · 2022Article
- Improved heat coefficients for joint-space metabolic energy expenditure model during level, uphill, and downhill walking.PloS one · 2022Article
- A System for Simple Robotic Walking Assistance With Linear Impulses at the Center of Mass.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
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3 authors.
Funding
Abstract
Motion capture laboratories can measure multiple variables at high frame rates, but we can only measure the average metabolic rate of a stride using respiratory measurements. Biomechanical simulations with equations for calculating metabolic rate can estimate the time profile of metabolic rate within the stride cycle. A variety of methods and metabolic equations have been proposed, including metabolic time profile estimations based on joint parameters. It is unclear whether differences in estimations are due to differences in experimental data or due to methodological differences. This study aimed to compare two methods for estimating the time profile of metabolic rate, within a single dataset. Knowledge about the consistency of different methods could be useful for applications such as detecting which part of the gait cycle causes increased metabolic cost in patients. Here we compare estimations of metabolic rate time profiles using a musculoskeletal and a joint-space method. The musculoskeletal method was driven by kinematics and electromyography data and used muscle metabolic rate equations, whereas the joint-space method used metabolic rate equations based on joint parameters. Both estimations of changes in stride average metabolic rate correlated significantly with large changes in indirect calorimetry from walking on different grades showing that both methods accurately track changes. However, estimations of changes in stride average metabolic rate did not correlate significantly with more subtle changes in indirect calorimetry due to walking with different shoe inclinations, and both the musculoskeletal and joint-space time profile estimations did not correlate significantly with each other except in the most downward shoe inclination. Estimations of the relative cost of stance and swing matched well with previous simulations with similar methods and estimations from experimental perturbations. Rich experimental datasets could further advance time profile estimations. This knowledge could be useful to develop therapies and assistive devices that target the least metabolically economic part of the gait cycle.
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