SynthesisFrontiers in neurorobotics2022
Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review.
Synthesis in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Explainable artificial intelligence for gait analysis: advances, pitfalls, and challenges - a systematic review.Frontiers in bioengineering and biotechnology · 2025Pooled it
- The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- IMU- and Vision-Based Measurement Techniques for Joint Kinematics: A Narrative Review.Sensors (Basel, Switzerland) · 2026Review
- The Use of Machine Learning to Estimate Ground Reaction Forces During Running: A Scoping Review of the Current Practices.Sensors (Basel, Switzerland) · 2026Article
- Multidisciplinary prediction of running-related injuries using machine learning.NPJ digital medicine · 2026Article
- Machine learning-based estimation of structure-specific load around the ankle and knee joint during running using IMU data.Frontiers in bioengineering and biotechnology · 2026Article
- The Breast Impact Monitoring System: A Portable and Wearable Platform to Support Injury Prevention in Female Athletes.Sensors (Basel, Switzerland) · 2025Article
- Intelligent optimization of track and field teaching using machine learning and wearable sensors.Scientific reports · 2025Article
- Interpretable prediction of knee joint loading during tennis serves based on GNN-GRU model and layer-wise relevance propagation.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2025Article
- Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners.NPJ digital medicine · 2025Article
- Analysis of Connectivity in Electromyography Signals to Examine Neural Correlations in the Activation of Lower Leg Muscles for Postural Stability: A Pilot Study.Bioengineering (Basel, Switzerland) · 2025Article
- Estimating braking and propulsion forces during overground running in and out of the lab.PloS one · 2025Article
- Data augmentation of time-series data in human movement biomechanics: A scoping review.PloS one · 2025Article
- Article
- Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I.Sensors (Basel, Switzerland) · 2024Article
- Article
- Rethinking running biomechanics: a critical review of ground reaction forces, tibial bone loading, and the role of wearable sensors.Frontiers in bioengineering and biotechnology · 2024Review
- Predicting Tissue Loads in Running from Inertial Measurement Units.Sensors (Basel, Switzerland) · 2023Article
- Location Matters-Can a Smart Golf Club Detect Where the Club Face Hits the Ball?Sensors (Basel, Switzerland) · 2023Article
- Foot Pronation Prediction with Inertial Sensors during Running: A Preliminary Application of Data-Driven Approaches.Journal of human kinetics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the emergence of wearable technology and machine learning approaches, gait monitoring in real-time is attracting interest from the sports biomechanics community. This study presents a systematic review of machine learning approaches in running biomechanics using wearable sensors. Electronic databases were retrieved in PubMed, Web of Science, SPORTDiscus, Scopus, IEEE Xplore, and ScienceDirect. A total of 4,068 articles were identified
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.