Literature DB >> 30716057

Estimating Sit-to-Stand Dynamics Using a Single Depth Camera.

Robert Peter Matthew, Sarah Seko, Jeannie Bailey, Ruzena Bajcsy, Jeffrey Lotz.   

Abstract

Kinetic and dynamic motion analysis provides quantitative, functional assessments of human ability that are unobtainable through static imaging methods or subjective surveys. While biomechanics facilities are equipped to perform this measurement and analysis, the clinical translation of these methods is limited by the specialized skills and equipment needed. This paper presents and validates a method for estimating dynamic effects such as joint torques and body momenta using a single depth camera. An allometrically scaled, sagittal plane dynamic model is used to estimate the joint torques at the ankles, knees, hips, and low back, as well as the torso momenta, and shear and normal loads at the L5-S1 disk. These dynamic metrics are applied to the sit-to-stand motion and validated against a gold-standard biomechanical system consisting of full-body active motion-capture and force-sensing systems. The metrics obtained from the proposed method were found to have excellent concordance with peak metrics that are consistent with prior biomechanical studies. This suggests the feasibility of using this system for rapid clinical assessment, with applications in diagnostics, longitudinal tracking, and quantifying patient recovery.

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Year:  2019        PMID: 30716057     DOI: 10.1109/JBHI.2019.2897245

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  4 in total

1.  ISSLS PRIZE IN BIOENGINEERING SCIENCE 2019: biomechanical changes in dynamic sagittal balance and lower limb compensatory strategies following realignment surgery in adult spinal deformity patients.

Authors:  Jeannie F Bailey; Robert P Matthew; Sarah Seko; Patrick Curran; Leslie Chu; Sigurd H Berven; Vedat Deviren; Shane Burch; Jeffrey C Lotz
Journal:  Eur Spine J       Date:  2019-03-02       Impact factor: 3.134

2.  A Novel Simplified System to Estimate Lower-Limb Joint Moments during Sit-to-Stand.

Authors:  Seoyoon Hwang; Seoyoung Choi; Yang-Soo Lee; Jonghyun Kim
Journal:  Sensors (Basel)       Date:  2021-01-13       Impact factor: 3.576

3.  Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain.

Authors:  Anastasia V Keller; Abel Torres-Espin; Thomas A Peterson; Jacqueline Booker; Conor O'Neill; Jeffrey C Lotz; Jeannie F Bailey; Adam R Ferguson; Robert P Matthew
Journal:  Front Bioeng Biotechnol       Date:  2022-04-14

4.  Validation, Reliability, and Responsiveness Outcomes Of Kinematic Assessment With An RGB-D Camera To Analyze Movement In Subacute And Chronic Low Back Pain.

Authors:  Manuel Trinidad-Fernández; David Beckwée; Antonio Cuesta-Vargas; Manuel González-Sánchez; Francisco-Angel Moreno; Javier González-Jiménez; Erika Joos; Peter Vaes
Journal:  Sensors (Basel)       Date:  2020-01-27       Impact factor: 3.576

  4 in total

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