ArticleBioengineering (Basel, Switzerland)2024
Biomechanical Gait Analysis Using a Smartphone-Based Motion Capture System (OpenCap) in Patients with Neurological Disorders.
Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validations and applications of markerless motion capture using OpenCap: a scoping review.Frontiers in digital health · 2026Pooled it
- Portable biomechanics laboratory enables clinically accessible movement analysis from a handheld smartphone.NPJ digital medicine · 2026Article
- Estimation of Vertical Ground Reaction Forces During Vertical Jumping in Children Using OpenCap.Sensors (Basel, Switzerland) · 2026Article
- Reproducible candidate kinematic-electromyographic waveform markers of post-stroke gait from public multimodal waveform exports.Frontiers in medical technology · 2026Article
- Patient-Perceived feasibility of implementing OpenCap smartphone-based motion capture technology to remotely assess musculoskeletal movement in individuals with orthopedic disorders presenting to a rural midwestern tertiary center.Frontiers in digital health · 2026Article
- Feasibility of Smartphone-Based Markerless Motion Capture for Quantitative Gait Assessment in Pediatric Guillain-Barré Syndrome: A Two-Case Proof-of-Concept Study.Bioengineering (Basel, Switzerland) · 2025Article
- The role of stretching protocols in post-fatigue performance and flexibility among soccer players.Scientific reports · 2025Article
- Effect of Walking Speed on the Reliability of a Smartphone-Based Markerless Gait Analysis System.Sensors (Basel, Switzerland) · 2025Article
- Measuring Lower-Limb Kinematics in Walking: Wearable Sensors Achieve Comparable Reliability to Motion Capture Systems and Smartphone Cameras.Sensors (Basel, Switzerland) · 2025Article
- Open Source, Open Science: Development of OpenLESS as the Automated Landing Error Scoring System.Journal of athletic training · 2025Article
- Use of Smartphone-Based Experimental Data for the Calibration of Biodynamic Spring-Mass-Damper (SMD) Pedestrian Models.Sensors (Basel, Switzerland) · 2025Article
- Quantifying gait compensation in knee osteoarthritis using smartphone-based motion capture (OpenCap).Frontiers in sports and active living · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
This study evaluates the utility of OpenCap (v0.3), a smartphone-based motion capture system, for performing gait analysis in patients with neurological disorders. We compared kinematic and kinetic gait parameters between 10 healthy controls and 10 patients with neurological conditions, including stroke, Parkinson's disease, and cerebral palsy. OpenCap captured 3D movement dynamics using two smartphones, with data processed through musculoskeletal modeling. The key findings indicate that the patient group exhibited significantly slower gait speeds (0.67 m/s vs. 1.10 m/s,
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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.