ArticleSensors (Basel, Switzerland)2021
Estimation of Walking Speed and Its Spatiotemporal Determinants Using a Single Inertial Sensor Worn on the Thigh: From Healthy to Hemiparetic Walking.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06085248 (Responders to Metronome-based Rhythmic Auditory Stimulation in Individuals Post-Stroke and Older Adults), which is not on this map. Cited by 12 papers.
What it found
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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.
Responders to Metronome-based Rhythmic Auditory Stimulation in Individuals Post-Stroke and Older Adults
Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Concurrent Validity and Reliability of Inertial Sensor-Based Wearables for Quantifying Spatial-Temporal Gait Parameters After Stroke: A Systematic Review.Brain sciences · 2026Review
- Validity of Poststroke Gait Spatiotemporal and Joint Excursion Metrics Between Inertial Measurement Units and a Marker-Based System.Journal of applied biomechanics · 2025Article
- Real-Time Balancing of Stability and Plasticity in Continual Learning Enables Adaptive Speed Estimation for Lower-Limb Prostheses.IEEE transactions on medical robotics and bionics · 2025Article
- The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors.Annals of biomedical engineering · 2025Observational
- A Review of Gait Analysis Using Gyroscopes and Inertial Measurement Units.Sensors (Basel, Switzerland) · 2025Review
- Amplifying walking activity in Parkinson's disease through autonomous music-based rhythmic auditory stimulation: randomized controlled trial.NPJ Parkinson's disease · 2025Article
- Inertial measurement unit-based real-time feedback gait immediately changes gait parameters in older inpatients: a pilot study.Frontiers in physiology · 2024Article
- Comparison of Three Motion Capture-Based Algorithms for Spatiotemporal Gait Characteristics: How Do Algorithms Affect Accuracy and Precision of Clinical Outcomes?Sensors (Basel, Switzerland) · 2023Article
- The effects of blurred visual inputs with different levels on the cerebral activity during free level walking.Frontiers in neuroscience · 2023Article
- Inertial sensors for gait monitoring and design of adaptive controllers for exoskeletons after stroke: a feasibility study.Frontiers in bioengineering and biotechnology · 2023Article
- Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors.Sensors (Basel, Switzerland) · 2022Article
- Global trends in wearable sensors for stroke motor rehabilitation: A bibliometric analysis.Digital healthArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
We present the use of a single inertial measurement unit (IMU) worn on the thigh to produce stride-by-stride estimates of walking speed and its spatiotemporal determinants (i.e., stride time and stride length). Ten healthy and eight post-stroke individuals completed a 6-min walk test with an 18-camera motion capture system used for ground truth measurements. Subject-specific estimation models were trained to estimate walking speed using the polar radius extracted from phase portraits produced from the IMU-measured thigh angular position and velocity. Consecutive flexion peaks in the thigh angular position data were used to define each stride and compute stride times. Stride-by-stride estimates of walking speed and stride time were then used to compute stride length. In both the healthy and post-stroke cohorts, low error and high consistency were observed for the IMU estimates of walking speed (MAE < 0.035 m/s; ICC > 0.98), stride time (MAE < 30 ms; ICC > 0.97), and stride length (MAE < 0.037 m; ICC > 0.96). This study advances the use of a single wearable sensor to accurately estimate walking speed and its spatiotemporal determinants during both healthy and hemiparetic walking.
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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.