ArticleSensors (Basel, Switzerland)2019
Automated Accelerometer-Based Gait Event Detection During Multiple Running Conditions.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Does Site Matter? Impact of Inertial Measurement Unit Placement on the Validity and Reliability of Stride Variables During Running: A Systematic Review and Meta-analysis.Sports medicine (Auckland, N.Z.) · 2021Pooled it
- Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Agreement and Reliability of Running Stride-Time Variability Analyses from Wearable Devices.Sensors (Basel, Switzerland) · 2026Article
- Deep learning-based gait phase detection using shank-mounted IMU data: Classification approach.PloS one · 2026Article
- Divergent Responses to Training Load in Professional Australian Football: Are Insights Obtained from Generic and Running-based Assessments Complementary or Redundant?Sports medicine - open · 2025Article
- Improved running gait parameter estimation from single foot-mounted IMU data based on refined event detection.Frontiers in bioengineering and biotechnology · 2025Article
- Identifying right and left impact using the derivative of linear resultant acceleration from a single sacrum-mounted IMU.Wearable technologies · 2025Article
- Long range correlations of stride intervals in uphill and downhill trail running.Frontiers in sports and active living · 2025Article
- Dual Tasking Affects the Outcomes of Instrumented Timed up and Go, Sit-to-Stand, Balance, and 10-Meter Walk Tests in Stroke Survivors.Sensors (Basel, Switzerland) · 2024Article
- Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable Sensors.Bioengineering (Basel, Switzerland) · 2024Article
- Parameterization of Biomechanical Variables through Inertial Measurement Units (IMUs) in Occasional Healthy Runners.Sensors (Basel, Switzerland) · 2024Article
- Reliability of Xsens IMU-Based Lower Extremity Joint Angles during In-Field Running.Sensors (Basel, Switzerland) · 2024Article
- Spatiotemporal parameters and kinematics differ between race stages in trail running-a field study.Frontiers in sports and active living · 2024Article
- Article
- Performance Level Affects Full Body Kinematics and Spatiotemporal Parameters in Trail Running-A Field Study.Sports (Basel, Switzerland) · 2023Article
- The Validity of a Three-Dimensional Motion Capture System and the Garmin Running Dynamics Pod in Connection with an Assessment of Ground Contact Time While Running in Place.Sensors (Basel, Switzerland) · 2023Article
- Unsupervised Gait Event Identification with a Single Wearable Accelerometer and/or Gyroscope: A Comparison of Methods across Running Speeds, Surfaces, and Foot Strike Patterns.Sensors (Basel, Switzerland) · 2023Article
- Estimation of Ground Contact Time with Inertial Sensors from the Upper Arm and the Upper Back.Sensors (Basel, Switzerland) · 2023Article
- Human Gait Activity Recognition Machine Learning Methods.Sensors (Basel, Switzerland) · 2023Article
- Step-adaptive sound guidance enhances locomotor-respiratory coupling in novice female runners: A proof-of-concept study.Frontiers in sports and active living · 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
5 authors at 1 institution in 1 country.
Funding
Abstract
The identification of the initial contact (IC) and toe off (TO) events are crucial components of running gait analyses. To evaluate running gait in real-world settings, robust gait event detection algorithms that are based on signals from wearable sensors are needed. In this study, algorithms for identifying gait events were developed for accelerometers that were placed on the foot and low back and validated against a gold standard force plate gait event detection method. These algorithms were automated to enable the processing of large quantities of data by accommodating variability in running patterns. An evaluation of the accuracy of the algorithms was done by comparing the magnitude and variability of the difference between the back and foot methods in different running conditions, including different speeds, foot strike patterns, and outdoor running surfaces. The results show the magnitude and variability of the back-foot difference was consistent across running conditions, suggesting that the gait event detection algorithms can be used in a variety of settings. As wearable technology allows for running gait analyses to move outside of the laboratory, the use of automated accelerometer-based gait event detection methods may be helpful in the real-time evaluation of running patterns in real world conditions.
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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.