ArticleSensors (Basel, Switzerland)2016
A Compact Forearm Crutch Based on Force Sensors for Aided Gait: Reliability and Validity.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review.Sensors (Basel, Switzerland) · 2018Pooled it
- Personalized Detection of Functional-State Changes Through Continuous Gait Monitoring: A Methodology for Assistive-Device Users.Sensors (Basel, Switzerland) · 2026Article
- Validation of a Sensorized Forearm Crutch for Quantifying Partial Weight-Bearing During Assisted Gait Using Optical Motion Capture and Instrumented Treadmill.Sensors (Basel, Switzerland) · 2026Article
- Validation of Estimators for Weight-Bearing and Shoulder Joint Loads Using Instrumented Crutches.Sensors (Basel, Switzerland) · 2023Article
- mCrutch: A Novel m-Health Approach Supporting Continuity of Care.Sensors (Basel, Switzerland) · 2023Article
- Versatile GCH Control Software for Correction of Loads Applied to Forearm Crutches During Gait Recovery Through Technological Feedback: Development and Implementation Study.Journal of medical Internet research · 2021Observational
- Load Auditory Feedback Boosts Crutch Usage in Subjects With Central Nervous System Lesions: A Pilot Study.Frontiers in neurology · 2021Article
- Sensorized Tip for Monitoring People with Multiple Sclerosis that Require Assistive Devices for Walking.Sensors (Basel, Switzerland) · 2020Article
- Instrumented Crutch Tip for Monitoring Force and Crutch Pitch Angle.Sensors (Basel, Switzerland) · 2019Article
- Influence of the load exerted over a forearm crutch in spatiotemporal step parameters during assisted gait: pilot study.Biomedical engineering online · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frequently, patients who suffer injuries in some lower member require forearm crutches in order to partially unload weight-bearing. These lesions cause pain in lower limb unloading and their progression should be controlled objectively to avoid significant errors in accuracy and, consequently, complications and after effects in lesions. The design of a new and feasible tool that allows us to control and improve the accuracy of loads exerted on crutches during aided gait is necessary, so as to unburden the lower limbs. In this paper, we describe such a system based on a force sensor, which we have named the GCH System 2.0. Furthermore, we determine the validity and reliability of measurements obtained using this tool via a comparison with the validated AMTI (Advanced Mechanical Technology, Inc., Watertown, MA, USA) OR6-7-2000 Platform. An intra-class correlation coefficient demonstrated excellent agreement between the AMTI Platform and the GCH System. A regression line to determine the predictive ability of the GCH system towards the AMTI Platform was found, which obtained a precision of 99.3%. A detailed statistical analysis is presented for all the measurements and also segregated for several requested loads on the crutches (10%, 25% and 50% of body weight). Our results show that our system, designed for assessing loads exerted by patients on forearm crutches during assisted gait, provides valid and reliable measurements of loads.
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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.