ArticleSensors (Basel, Switzerland)2021
Towards a Mobile Gait Analysis for Patients with a Spinal Cord Injury: A Robust Algorithm Validated for Slow Walking Speeds.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Article
- A study on gait and muscle activation characteristics of persons with incomplete spinal cord injury with respect to age stratification.Frontiers in bioengineering and biotechnology · 2026Article
- Every Step Counts-How Can We Accurately Count Steps with Wearable Sensors During Activities of Daily Living in Individuals with Neurological Conditions?Sensors (Basel, Switzerland) · 2025Article
- Quantification of Lower Limb Kinematics During Swimming in Individuals with Spinal Cord Injury.Sensors (Basel, Switzerland) · 2025Article
- A Review of Gait Analysis Using Gyroscopes and Inertial Measurement Units.Sensors (Basel, Switzerland) · 2025Review
- Optimization of MIMU Mounting Position on Shank in Posture Estimation Considering Muscle Protuberance.Sensors (Basel, Switzerland) · 2025Article
- Reliability of patient-specific gait profiles with inertial measurement units during the 2-min walk test in incomplete spinal cord injury.Scientific reports · 2024Article
- Accuracy, concurrent validity, and test-retest reliability of pressure-based insoles for gait measurement in chronic stroke patients.Frontiers in digital health · 2024Article
- Gait Variability at Different Walking Speeds.Journal of functional morphology and kinesiology · 2023Article
- Data-driven characterization of walking after a spinal cord injury using inertial sensors.Journal of neuroengineering and rehabilitation · 2023Article
- Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies.Sensors (Basel, Switzerland) · 2023Review
- Accuracy and comparison of sensor-based gait speed estimations under standardized and daily life conditions in children undergoing rehabilitation.Journal of neuroengineering and rehabilitation · 2022Article
- Acceptability of wearable inertial sensors, completeness of data, and day-to-day variability of everyday life motor activities in children and adolescents with neuromotor impairments.Frontiers in rehabilitation sciences · 2022Article
- Accuracy of gait and posture classification using movement sensors in individuals with mobility impairment after stroke.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Spinal cord injury (SCI) patients suffer from diverse gait deficits depending on the severity of their injury. Gait assessments can objectively track the progress during rehabilitation and support clinical decision making, but a comprehensive gait analysis requires far more complex setups and time-consuming protocols that are not feasible in the daily clinical routine. As using inertial sensors for mobile gait analysis has started to gain ground, this work aimed to develop a sensor-based gait analysis for the specific population of SCI patients that measures the spatio-temporal parameters of typical gait laboratories for day-to-day clinical applications. The proposed algorithm uses shank-mounted inertial sensors and personalized thresholds to detect steps and gait events according to the individual gait profiles. The method was validated in nine SCI patients and 17 healthy controls walking on an instrumented treadmill while wearing reflective markers for motion capture used as a gold standard. The sensor-based algorithm (i) performed similarly well for the two cohorts and (ii) is robust enough to cover the diverse gait deficits of SCI patients, from slow (0.3 m/s) to preferred walking speeds.
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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.