Trial reportSensors (Basel, Switzerland)2020
Accuracy Verification of Spatio-Temporal and Kinematic Parameters for Gait Using Inertial Measurement Unit System.
Trial report in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed, 53 citations in OpenAlex.
- Wearable Sensor-Derived Gait Parameters Across Self-Reported Physical Activity Levels in Individuals With Knee Osteoarthritis and Healthy Controls: Pilot Cross-Sectional Validation Study.JMIR formative research · 2026Article
- Wearables for Telemonitoring in ATTR-Amyloidosis: Current Perspectives.Sensors (Basel, Switzerland) · 2026Review
- A mobile tool for static standing posture assessment using accurate 3D body reconstruction.Medical & biological engineering & computing · 2026Article
- Evaluation of the Angle Deviation between Pilot Holes and Actual Implanted Pedicle Screw Trajectories in Freehand Pedicle Screw Placement for Thoracolumbar Spine Surgery: The Impact of Tapping and Work Experience.Clinics in orthopedic surgery · 2026Article
- SANE (eaSy gAit aNalysis systEm): real-time dual-depth, marker-less system characterisation and robustness of gait parameters.Frontiers in robotics and AI · 2026Article
- Reliability and validity of a video-based markerless motion capture system in young healthy subjects.Heliyon · 2025Article
- Reliability and Construct Validity of a Mobile Application for the Finger Tapping Test Evaluation in People with Multiple Sclerosis.Brain sciences · 2024Article
- Accuracy validation of a wearable IMU-based gait analysis in healthy female.BMC sports science, medicine & rehabilitation · 2024Article
- Article
- Effect of Balance Training in Sitting Position Using Visual Feedback on Balance and Gait Ability in Chronic Stroke Patients.Journal of clinical medicine · 2023Article
- Effects of age-related changes in trunk and lower limb range of motion on gait.BMC musculoskeletal disorders · 2023Article
- Validation of Inertial Sensors to Evaluate Gait Stability.Sensors (Basel, Switzerland) · 2023Article
- Gait Analysis in Children with Cerebral Palsy: Are Plantar Pressure Insoles a Reliable Tool?Sensors (Basel, Switzerland) · 2022Article
- Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults.Sensors (Basel, Switzerland) · 2022Article
- Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait.Frontiers in neuroscience · 2022Review
- Wearable Sensor-Based Prediction Model of Timed up and Go Test in Older Adults.Sensors (Basel, Switzerland) · 2021Article
- Wearable Inertial Gait Algorithms: Impact of Wear Location and Environment in Healthy and Parkinson's Populations.Sensors (Basel, Switzerland) · 2021Article
- Objectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis.Journal of spine surgery (Hong Kong) · 2021Article
- [Research progress on wearable physiological parameter monitoring and its clinical applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Review
- Test-Retest Reliability of a Conventional Gait Model for Registering Joint Angles during Initial Contact and Toe-Off in Healthy Subjects.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inertial measurement unit systems are wearable sensors that can measure the movement of a human in real-time with relatively little space and high portability. The purpose of this study was to investigate the accuracy of the inertial measurement unit (IMU) system for gait analysis by comparing it with measurements obtained using an optical motion capture (OMC) system. To compare the accuracies of these two different motion capture systems, the Spatio-temporal and kinematic parameters were measured in young adults during normal walking. Thirty healthy participants participated in the study. Data were collected while walking 5 strides on a 7 m walkway at a self-selected speed. Results of gait analysis showed that the Spatio-temporal (stride time, stride length, cadence, step length) and kinematic (knee joint peak to peak of movement) parameters were not significantly different in the participant. Spatio-temporal and kinematic parameters of the two systems were compared using the Bland-Altman method. The results obtained showed that the measurements of Spatio-temporal and kinematic parameters of gait by the two systems were similar, which suggested that IMU and OMC systems could be used interchangeably for gait measurements. Therefore, gait analysis performed using the wearable IMU system might efficiently provide gait measurements and enable accurate analysis.
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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.