The effect of variability in body segment parameters on joint moment using Monte Carlo simulations

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: The effect of variability in body segment parameters on joint moment using Monte Carlo simulations
Συγγραφείς: Nguyen, TC, Reynolds, Karen Jane
Πηγή: Gait & Posture. 39:346-353
Στοιχεία εκδότη: Elsevier BV, 2014.
Έτος έκδοσης: 2014
Θεματικοί όροι: Male, Knee Joint, Inverse dynamics, 0206 medical engineering, 02 engineering and technology, Models, Biological, Biomechanical Phenomena, 03 medical and health sciences, 0302 clinical medicine, Lower Extremity, Torque, Body segment parameters, Foot Joints, Humans, Computer Simulation, Female, Hip Joint, Joint moments, Gait, Monte Carlo Method, Monte Carlo simulation
Περιγραφή: This study used Monte Carlo methods to simulate the effects of variability and uncertainty in inertial body segment parameters (BSPs) on joint torques calculated using inverse dynamics. The average and standard deviation values of BSPs from previously published studies were used as inputs into the Monte Carlo simulation. Data from five groups were evaluated: cadaveric subjects; living subjects (Caucasian only); female living subjects (Caucasian only); male living subjects (Caucasian only); and living subjects (non-Caucasian). The differences in BSPs observed between the different groups were statistically significant; however, using BSP variability data from these groups made little difference to the calculated joint torques. This suggests that for slow and repeatable movement such as walking, BSPs have little effect on joint moments, except for the swing phase. Even then, the magnitude of difference in the swing phase due to variability in BSPs is not much greater than the inter-trial variability. As expected, distal BSPs have little effect on proximal joint moment.
Τύπος εγγράφου: Article
Γλώσσα: English
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2013.08.002
Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/24021524
Rights: Elsevier TDM
Αριθμός Καταχώρησης: edsair.doi.dedup.....b3482e57695d2c8a5bf44010ccb91e88
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:09666362
DOI:10.1016/j.gaitpost.2013.08.002