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Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls

A critical missing component in the study of real-world falls is the ability to accurately determine impact forces resulting from the fall. Subject-specific rigid body dynamic (RBD) models calibrated to video captured falls can quantify impact forces and provide additional insights into injury risk...

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Autores principales: Khorami, Fatemeh, Obaid, Numaira, Bhatnagar, Tim, Ayoub, Ahmed, Robinovitch, Steve N, Sparrey, Carolyn J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685694/
https://www.ncbi.nlm.nih.gov/pubmed/37969107
http://dx.doi.org/10.1177/09544119231207653
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author Khorami, Fatemeh
Obaid, Numaira
Bhatnagar, Tim
Ayoub, Ahmed
Robinovitch, Steve N
Sparrey, Carolyn J
author_facet Khorami, Fatemeh
Obaid, Numaira
Bhatnagar, Tim
Ayoub, Ahmed
Robinovitch, Steve N
Sparrey, Carolyn J
author_sort Khorami, Fatemeh
collection PubMed
description A critical missing component in the study of real-world falls is the ability to accurately determine impact forces resulting from the fall. Subject-specific rigid body dynamic (RBD) models calibrated to video captured falls can quantify impact forces and provide additional insights into injury risk factors. RBD models were developed based on five backward falls captured on surveillance video in long-term care facilities in British Columbia, Canada. Model joint stiffness and initial velocities were calibrated to match the kinematics of the fall and contact forces were calculated. The effect of joint stiffnesses (neck, lumbar spine, hip, and knee joint) on head contact forces were determined by modifying the calibrated stiffness values ±25%. Fall duration, fall trajectories, and maximum velocities showed a close match between fall events and simulations. The maximum value of pelvic velocity difference between Kinovea (an open-source software 2D digitization software) and Madymo multibody modeling was found to be 6% ± 21.58%. Our results demonstrate that neck and hip stiffness values have a non-significant yet large effect on head contact force (t(3) = 1, p = 0.387 and t(3) = 2, p = 0.138), while lower effects were observed for knee stiffness, and the effect of lumbar spine stiffness was negligible. The subject-specific fall simulations constructed from real world video captured falls allow for direct quantification of force outcomes of falls and may have applications in improving the assessment of fall-induced injury risks and injury prevention methods.
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spelling pubmed-106856942023-11-30 Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls Khorami, Fatemeh Obaid, Numaira Bhatnagar, Tim Ayoub, Ahmed Robinovitch, Steve N Sparrey, Carolyn J Proc Inst Mech Eng H Original Articles A critical missing component in the study of real-world falls is the ability to accurately determine impact forces resulting from the fall. Subject-specific rigid body dynamic (RBD) models calibrated to video captured falls can quantify impact forces and provide additional insights into injury risk factors. RBD models were developed based on five backward falls captured on surveillance video in long-term care facilities in British Columbia, Canada. Model joint stiffness and initial velocities were calibrated to match the kinematics of the fall and contact forces were calculated. The effect of joint stiffnesses (neck, lumbar spine, hip, and knee joint) on head contact forces were determined by modifying the calibrated stiffness values ±25%. Fall duration, fall trajectories, and maximum velocities showed a close match between fall events and simulations. The maximum value of pelvic velocity difference between Kinovea (an open-source software 2D digitization software) and Madymo multibody modeling was found to be 6% ± 21.58%. Our results demonstrate that neck and hip stiffness values have a non-significant yet large effect on head contact force (t(3) = 1, p = 0.387 and t(3) = 2, p = 0.138), while lower effects were observed for knee stiffness, and the effect of lumbar spine stiffness was negligible. The subject-specific fall simulations constructed from real world video captured falls allow for direct quantification of force outcomes of falls and may have applications in improving the assessment of fall-induced injury risks and injury prevention methods. SAGE Publications 2023-11-16 2023-11 /pmc/articles/PMC10685694/ /pubmed/37969107 http://dx.doi.org/10.1177/09544119231207653 Text en © IMechE 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 Lficense (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Khorami, Fatemeh
Obaid, Numaira
Bhatnagar, Tim
Ayoub, Ahmed
Robinovitch, Steve N
Sparrey, Carolyn J
Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title_full Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title_fullStr Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title_full_unstemmed Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title_short Impact forces in backward falls: Subject-specific video-based rigid body simulation of backward falls
title_sort impact forces in backward falls: subject-specific video-based rigid body simulation of backward falls
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685694/
https://www.ncbi.nlm.nih.gov/pubmed/37969107
http://dx.doi.org/10.1177/09544119231207653
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