Framework for early detection and classification of balance pathologies using posturography and anthropometric variables-Reference-Cited by-同舟云学术

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Framework for early detection and classification of balance pathologies using posturography and anthropometric variables

Published:2024-03 Issue: Volume:113 Page:106214
ISSN:0268-0033
Container-title:Clinical Biomechanics
language:en
Short-container-title:Clinical Biomechanics

Author:

Sarmah Arnab,Aggarwal Raghav,Vitekar Sarth Sameer,Katao Shunsuke,Boruah Lipika,Ito Satoshi,Kanagaraj Subramani

Funder

Indian Institute of Technology Guwahati

North East Centre for Biological Sciences and Healthcare Engineering, Indian Institute of Technology Guwahati

Department of Biotechnology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference16 articles.

1. Age-related changes of human balance during quiet stance;Abrahamová;Physiol. Res.,2008

2. Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway;Ahmadi;J. Neurol.,2019

3. Assessment of postural control in patients with Parkinson’s disease: sway ratio analysis;Błaszczyk;Hum. Mov. Sci.,2011

4. Review of the Upright Balance Assessment Based on the Force Plate;Chen,2021

5. Data-driven gait analysis for diagnosis and severity rating of Parkinson’s disease;E;Med. Eng. Phys.,2021

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1. Integrative approach to pedobarography and pelvis-trunk motion for knee osteoarthritis detection and exploration of non-radiographic rehabilitation monitoring;Frontiers in Bioengineering and Biotechnology;2024-07-31

2. Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adults: A Temporal-Spatial Approach;Bioengineering;2024-05-28

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