ArticleFrontiers in bioengineering and biotechnology2022
An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks.
Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Dual-Model Artificial Intelligence Framework Integrating AI-Based Markerless Motion Capture for Dynamic Gait Prediction and Health-Status Classification.Diagnostics (Basel, Switzerland) · 2026Article
- The classification of walking and phases of gait using EEG: a scoping review.Journal of neuroengineering and rehabilitation · 2026Article
- Differences Between Tibial or Malleolar Fracture Types and Union or Nonunion in Spatiotemporal and Kinematic Gait Parameters Throughout Healing: An Observational Study.Annals of biomedical engineering · 2026Observational
- Accuracy and Inter-Subject Variability of Gait Event Detection Methods Based on Optical and Inertial Motion Capture.Sensors (Basel, Switzerland) · 2025Article
- Detection of Gait Events Using Ear-Worn IMUs During Functional Movement Tasks.Sensors (Basel, Switzerland) · 2025Article
- Automatic detection of human gait events: a simple but versatile 3D algorithm.Journal of neuroengineering and rehabilitation · 2025Article
- Automatic gait EVENT detection in older adults during perturbed walking.Journal of neuroengineering and rehabilitation · 2025Article
- Clinical Whole-Body Gait Characterization Using a Single RGB-D Sensor.Sensors (Basel, Switzerland) · 2025Article
- Precision Balance Assessment in Parkinson's Disease: Utilizing Vision-Based 3D Pose Tracking for Pull Test Analysis.Sensors (Basel, Switzerland) · 2024Article
- Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.Journal of neuroengineering and rehabilitation · 2023Article
- Base of Support, Step Length and Stride Width Estimation during Walking Using an Inertial and Infrared Wearable System.Sensors (Basel, Switzerland) · 2023Article
- A multi-sensor wearable system for the assessment of diseased gait in real-world conditions.Frontiers in bioengineering and biotechnology · 2023Article
- Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.Frontiers in neurology · 2023Article
- Design and validation of a multi-task, multi-context protocol for real-world gait simulation.Journal of neuroengineering and rehabilitation · 2022Article
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is growing interest in the quantification of gait as part of complex motor tasks. This requires gait events (GEs) to be detected under conditions different from straight walking. This study aimed to propose and validate a new marker-based GE detection method, which is also suitable for curvilinear walking and step negotiation. The method was first tested against existing algorithms using data from healthy young adults (YA,
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