ArticleSensors (Basel, Switzerland)2019
Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults.
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 24 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Inertial Sensor Reliability and Validity for Static and Dynamic Balance in Healthy Adults: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Identifying unique gait phenotypes across neuromotor conditions using wearable inertial sensors and topological data analysis.NPJ digital medicine · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome.Scientific reports · 2025Article
- Evaluating Postural Sway in the Elderly Using Inertial Measurement Units: A Study on Center of Mass Measurements via Accelerometers and Gyroscopes.Journal of clinical medicine research · 2025Article
- A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults.Scientific data · 2025Article
- Design of a low-cost force insoles to estimate ground reaction forces during human gait.HardwareX · 2024Article
- Age-Related Influence on Static and Dynamic Balance Abilities: An Inertial Measurement Unit-Based Evaluation.Sensors (Basel, Switzerland) · 2024Article
- Use of an inertial sensor and a force platform to assess static balance in participants affected by multibacillary leprosy.PLoS neglected tropical diseases · 2024Observational
- Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope.Data in brief · 2024Article
- Recurrent Neural Network Methods for Extracting Dynamic Balance Variables during Gait from a Single Inertial Measurement Unit.Sensors (Basel, Switzerland) · 2023Article
- Clinical Static Balance Assessment: A Narrative Review of Traditional and IMU-Based Posturography in Older Adults and Individuals with Incomplete Spinal Cord Injury.Sensors (Basel, Switzerland) · 2023Review
- Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review.Heliyon · 2023Article
- Differences between physical therapist ratings, self-ratings, and posturographic measures when assessing static balance exercise intensity.Frontiers in rehabilitation sciences · 2023Article
- Design and validation of a multi-task, multi-context protocol for real-world gait simulation.Journal of neuroengineering and rehabilitation · 2022Article
- Head movement kinematics are altered during balance stability exercises in individuals with vestibular schwannoma.Journal of neuroengineering and rehabilitation · 2022Article
- Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait.Frontiers in neuroscience · 2022Review
- Review
- Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool.International journal of environmental research and public health · 2020Article
- Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Gait and balance impairments are linked with reduced mobility and increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous, high-resolution data. This study tested and validated the utility of a single IMU to quantify gait and balance features during routine clinical outcome tests, and evaluated changes in sensor-derived measurements with age, sex, height, and weight. Age-ranged, healthy individuals (N = 49, 20-70 years) wore a lower back IMU during the 10 m walk test (10MWT), Timed Up and Go (TUG), and Berg Balance Scale (BBS). Spatiotemporal gait parameters computed from the sensor data were validated against gold standard measures, demonstrating excellent agreement for stance time, step time, gait velocity, and step count (intraclass correlation (ICC) > 0.90). There was good agreement for swing time (ICC = 0.78) and moderate agreement for step length (ICC = 0.68). A total of 184 features were calculated from the acceleration and angular velocity signals across these tests, 36 of which had significant correlations with age. This approach was also demonstrated for an individual with stroke, providing higher resolution information about balance, gait, and mobility than the clinical test scores alone. Leveraging mobility data from wireless, wearable sensors can help clinicians and patients more objectively pinpoint impairments, track progression, and set personalized goals during and after rehabilitation.
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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.