Treffer: Versatile clinical movement analysis using statistical parametric mapping in MovementRx.

Title:
Versatile clinical movement analysis using statistical parametric mapping in MovementRx.
Authors:
Alhossary A; Rehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore. aalhossary@pmail.ntu.edu.sg., Pataky T; Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan., Ang WT; Rehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore., Chua KSG; Tan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore., Kwong WH; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China., Donnelly CJ; Rehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore.
Source:
Scientific reports [Sci Rep] 2023 Feb 10; Vol. 13 (1), pp. 2414. Date of Electronic Publication: 2023 Feb 10.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : Nature Publishing Group, copyright 2011-
MeSH Terms:
Gait* , Osteoarthritis, Knee*, Humans ; Knee Joint ; Gait Analysis ; Lower Extremity ; Biomechanical Phenomena ; Movement
References:
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Entry Date(s):
Date Created: 20230210 Date Completed: 20230214 Latest Revision: 20230320
Update Code:
20250114
PubMed Central ID:
PMC9918450
DOI:
10.1038/s41598-023-29635-4
PMID:
36765193
Database:
MEDLINE

Weitere Informationen

Clinical gait analysis is an important biomechanics field that is often influenced by subjectivity in time-varying analysis leading to type I and II errors. Statistical Parametric Mapping can operate on all time-varying joint dynamics simultaneously, thereby overcoming subjectivity errors. We present MovementRx, the first gait analysis modelling application that correctly models the deviations of joints kinematics and kinetics both in 3 and 1 degrees of freedom; presented with easy-to-understand color maps for clinicians with limited statistical training. MovementRx is a python-based versatile GUI-enabled movement analysis decision support system, that provides a holistic view of all lower limb joints fundamental to the kinematic/kinetic chain related to functional gait. The user can cascade the view from single 3D multivariate result down to specific single joint individual 1D scalar movement component in a simple, coherent, objective, and visually intuitive manner. We highlight MovementRx benefit by presenting a case-study of a right knee osteoarthritis (OA) patient with otherwise undetected postintervention contralateral OA predisposition. MovementRx detected elevated frontal plane moments of the patient's unaffected knee. The patient also revealed a surprising adverse compensation to the contralateral limb.
(© 2023. The Author(s).)