Diagnosing gait disorders based on angular variations of knee and ankle joints utilizing a developed wearable motion sensor
Author:
Affiliation:
1. Faculty of Engineering Monash University Melbourne Australia
2. MEMS & NEMS Department Faculty of New Sciences and Technologies University of Tehran Tehran Iran
Publisher
Institution of Engineering and Technology (IET)
Subject
Health Information Management,Health Informatics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl2.12015
Reference56 articles.
1. Gait analysis methods in rehabilitation
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3. Predicting Center of Gravity Displacement During Walking Using a Single Inertial Sensor and Deep Learning Technique
4. Human Gait State Prediction Using Cellular Automata and Classification Using ELM
5. Association between stride time fractality and gait adaptability during unperturbed and asymmetric walking
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