ArticleHealthcare technology letters2021
Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor.
Article in Healthcare technology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Movement examination of the lumbar spine using a developed wearable motion sensor.Healthcare technology letters · 2023Article
- Assessment of human gait after total knee arthroplasty by dynamic time warping algorithm.Healthcare technology letters · 2023Article
- Effect of pregnancy on female gait characteristics: a pilot study based on portable gait analyzer and induced acceleration analysis.Frontiers in physiology · 2023Article
- Development of a Real-Time Knee Extension Monitoring and Rehabilitation System: Range of Motion and Surface EMG Measurement and Evaluation.Healthcare (Basel, Switzerland) · 2022Article
- Preparation and characterisation of polycaprolactone-fibroin nanofibrous scaffolds containing allicin.IET nanobiotechnology · 2022Article
- Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor.Healthcare technology letters · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here, a sensory motion system is developed to diagnose gait disorders using the estimation of angular variations in the knee and ankle joints. The sensory system includes two transmitter sensors and a central node, where each transmitter comprises three sensors of accelerometer, gyroscopes, and magnetometer to estimate the angular movements in the ankle and knee joints. By using a proposed filter, the angular variation is estimated in a personal computer employing the raw data of the motion sensors that are sent by the central node. The obtained results of the presented filter in comparison to an actual reference illustrate that the root mean square error is less than 1.01, 1.34, and 1.61 degrees, respectively, for the angles of
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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.