Biomechanics of the Musculoskeletal System

Dao, Tien Tuan; Tho, M.C. Ho Ba

doi:10.1002/9781118930991.ch1

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…In addition to the value for ‘A’ component, which represents the abductor muscle force and equals two times the body weight, the direction of force ‘A’ will have a positive sign. It will also be 30° from the vertical axis ( Fig 5B ) [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

Three dimensional analysis of hip joint reaction force using Q Hip Force (AQHF) software: Implication as a diagnostic tool

Abd-Eltawab

Farhana

2022

PLoS ONE

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Assessment of hip joint reaction force (JRF) is one of the analytical methods that can enable an understanding of the healthy walking index and the propensity towards disease. In this study, we have designed software, Analysis Q Hip Force (AQHF), to analyze the data retrieved from the mathematical equations for calculating the JRF and ground reaction force (GRF) that act on the hip joint during the early part of the stance phase. The stance phase is considered the least stable sub-phase during walking on level ground, and the gait stability is sequentially minimized during walking on elevated ramps. We have calculated the JRF and GRF values of walking stances on varied inclinations. The data obtained from these calculations during walking on elevated ramps were exported from mathematical equations to Q Hip Force software as two separate values, namely the JRF data and GRF data of the hip joint. The Q Hip Force software stores the two reaction force data in a text file, which allows the import and easy readability of the analyzed data with the AQHF application. The input and output data from the AQHF software were used to investigate the effect of different walking ramps on the magnitude of the hip JRF and GRF. The result of this study demonstrates a significant correlation between the JRF/GRF values and healthy walking indices till a ramp elevation of 70°. The software is designed to calculate and extrapolate data to analyze the possibility of stress in the hip joint. The framework developed in this study shows promise for preclinical and clinical applications. Studies are underway to use the results of JRF and GRF values as a diagnostic and prognostic tools in different diseases.

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Section: Discussionmentioning

confidence: 99%

Three dimensional analysis of hip joint reaction force using Q Hip Force (AQHF) software: Implication as a diagnostic tool

Abd-Eltawab

Farhana

2022

PLoS ONE

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Feasibility of Kinect-Based Games for Balance Rehabilitation: A Case Study

Ayed

Ghazel

Jaume-i-Capó

et al. 2018

Journal of Healthcare Engineering

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We aimed at determining the effects of prototype games on older adults attending a rehabilitation program in an elderly house in this work. We conducted an initial case study where two participants underwent a 5-week intervention. Feasibility was assessed by examining recruitment, adherence, and safety. The Tinetti balance test was used as pretest and posttest assessments. Results show that adherence was very high and no adverse effects were registered during the sessions. The included participants also reported enjoyment during the playtime and exhibited improvements in Tinetti scores. The findings suggest that game-based rehabilitation can be useful for improving balance in elderly people and can be incorporated in a fall prevention program.

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Biomechanics of the Musculoskeletal System

Cited by 2 publications

References 41 publications

Three dimensional analysis of hip joint reaction force using Q Hip Force (AQHF) software: Implication as a diagnostic tool

Three dimensional analysis of hip joint reaction force using Q Hip Force (AQHF) software: Implication as a diagnostic tool

Feasibility of Kinect-Based Games for Balance Rehabilitation: A Case Study

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