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

• Published in: PloS one 2022-09, Vol.17 (9), p.e0273159-e0273159
• Main Authors: Abd El-Tawab, Amany Eid, Farhana, Aisha
• Format: Article
• Language: English
• Subjects: Analysis; Analytical methods; Artificial hip joints; Biology and Life Sciences; Care and treatment; Computer and Information Sciences; Data analysis; Design; Diagnosis; Diagnostic software; Dimensional analysis; Engineering and Technology; Females; Gait; Gait disorders; Gender; Health aspects; Hip; Hip joint; Males; Mathematical analysis; Medical diagnosis; Medicine and Health Sciences; Physiological aspects; Ramps; Software; Somatotropin releasing hormone; Three dimensional analysis; Walking
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0273159

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.