ArticleFrontiers in bioengineering and biotechnology2020
New Considerations for Collecting Biomechanical Data Using Wearable Sensors: The Effect of Different Running Environments.
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
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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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Measurement Properties of Wearable Kinematic-Based Data Collection Systems to Evaluate Ball Kicking in Soccer: A Systematic Review with Evidence Gap Map.Sensors (Basel, Switzerland) · 2024Pooled it
- Recent Machine Learning Progress in Lower Limb Running Biomechanics With Wearable Technology: A Systematic Review.Frontiers in neurorobotics · 2022Pooled it
- Explainable Machine Learning Using Sensor-Derived Biomechanical Features to Classify Elevated VALR-Related Loading Across Midsole Hardness Conditions in School-Aged Boys.Sensors (Basel, Switzerland) · 2026Article
- Impact of Advanced Footwear Technology on Running Economy at Slower Running Speeds: A Randomised, Cross-Over Investigation.Sports medicine - open · 2026Article
- Continuous Relative Phase Angle and Variability: A Crossover Analysis of Duration and Surface Effects While Long-Distance Running Over Treadmill and Over-Ground Running.Applied bionics and biomechanics · 2025Article
- Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study.Sensors (Basel, Switzerland) · 2024Article
- Evaluation of a Restoration Algorithm Applied to Clipped Tibial Acceleration Signals.Sensors (Basel, Switzerland) · 2023Article
- Quantifying and correcting for speed and stride frequency effects on running mechanics in fatiguing outdoor running.Frontiers in sports and active living · 2023Article
- Use of subject-specific models to detect fatigue-related changes in running biomechanics: a random forest approach.Frontiers in sports and active living · 2023Article
- Article
- Between-Day Reliability of Commonly Used IMU Features during a Fatiguing Run and the Effect of Speed.Sensors (Basel, Switzerland) · 2022Article
- Validation of Running Gait Event Detection Algorithms in a Semi-Uncontrolled Environment.Sensors (Basel, Switzerland) · 2022Article
- Is This the Real Life, or Is This Just Laboratory? A Scoping Review of IMU-Based Running Gait Analysis.Sensors (Basel, Switzerland) · 2022Article
- Reliability and Validity of Running Cadence and Stance Time Derived from Instrumented Wireless Earbuds.Sensors (Basel, Switzerland) · 2021Article
- IMU-Based Effects Assessment of the Use of Foot Orthoses in the Stance Phase during Running and Asymmetry between Extremities.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, running biomechanics analyses have been conducted using 3D motion capture during treadmill or indoor overground running. However, most runners complete their runs outdoors. Since changes in running terrain have been shown to influence running gait mechanics, the purpose of this study was to use a machine learning approach to objectively determine relevant accelerometer-based features to discriminate between running patterns in different environments and determine the generalizability of observed differences in running patterns. Center of mass accelerations were recorded for recreational runners in treadmill-only (
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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.