ArticleInternational journal of environmental research and public health2020
Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06070987 (To Estimate the Efficacy of Botulinum Toxin A Injection Combing With Exoskeleton Robotic Assisted Gait Training in Stroke Patients With Spastic Stiff Knee Gait), which is not on this map. Cited by 10 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.
To Estimate the Efficacy of Botulinum Toxin A Injection Combing With Exoskeleton Robotic Assisted Gait Training in Stroke Patients With Spastic Stiff Knee Gait: Motor Function Performance and Neurophysiological Evaluation
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Efficacy of robotic exoskeleton for gait rehabilitation in patients with subacute stroke : a systematic review.European journal of physical and rehabilitation medicine · 2022Pooled it
- Quantitative Evaluation of Postural SmartVest's Multisensory Feedback for Affordable Smartphone-Based Post-Stroke Motor Rehabilitation.International journal of environmental research and public health · 2025Article
- Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study.JMIR aging · 2025Article
- A Novel, Wearable Inertial Measurement Unit for Stroke Survivors: Validity, Acceptability, and Usability.Archives of physical medicine and rehabilitation · 2024Article
- Agreement between the activPAL accelerometer and direct observation during a series of gait and sit-to-stand tasks in people living with cervical dystonia.Frontiers in neurology · 2024Article
- Evaluation of physical activity before and after respiratory rehabilitation in normal weight individuals with asthma: a feasibility study.Frontiers in sports and active living · 2024Article
- The effect of the LokomatFrontiers in neurology · 2023Review
- Validity of Hip and Ankle Worn Actigraph Accelerometers for Measuring Steps as a Function of Gait Speed during Steady State Walking and Continuous Turning.Sensors (Basel, Switzerland) · 2021Article
- Predictors of Function, Activity, and Participation of Stroke Patients Undergoing Intensive Rehabilitation: A Multicenter Prospective Observational Study Protocol.Frontiers in neurology · 2021Article
- GPS and Smartphone Technology for Real-World Measurement of Community Mobility in Healthcare.Digital biomarkersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring the real-life mobility of stroke patients could be extremely useful for clinicians. Step counters are a widely accessible, portable, and cheap technology that can be used to monitor patients in different environments. The aim of this study was to validate a low-cost commercial tri-axial accelerometer-based step counter for stroke patients and to determine the best positioning of the step counter (wrists, ankles, and waist). Ten healthy subjects and 43 post-stroke patients were enrolled and performed four validated clinical tests (10 m, 50 m, and 6 min walking tests and timed up and go tests) while wearing five step counters in different positions while a trained operator counted the number of steps executed in each test manually. Data from step counters and those collected manually were compared using the intraclass coefficient correlation and mean average percentage error. The Bland-Altman plot was also used to describe agreement between the two quantitative measurements (step counter vs. manual counting). During walking tests in healthy subjects, the best reliability was found for lower limbs and waist placement (intraclass coefficient correlations (ICCs) from 0.46 to 0.99), and weak reliability was observed for upper limb placement in every test (ICCs from 0.06 to 0.38). On the contrary, in post-stroke patients, moderate reliability was found only for the lower limbs in the 6 min walking test (healthy ankle ICC: 0.69; pathological ankle ICC: 0.70). Furthermore, the Bland-Altman plot highlighted large average discrepancies between methods for the pathological group. However, while the step counter was not able to reliably determine steps for slow patients, when applied to the healthy ankle of patients who walked faster than 0.8 m/s, it counted steps with excellent precision, similar to that seen in the healthy subjects (ICCs from 0.36 to 0.99). These findings show that a low-cost accelerometer-based step counter could be useful for measuring mobility in select high-performance patients and could be used in clinical and real-world settings.
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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.