A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion

A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion

Bibliographic Details
Main Author: Brown, Brandon
Language:English
Published: University of Cincinnati / OhioLINK 2015
Subjects:
Biomechanics
muscle force determination
computed muscle control
muscle activation
electromyography
static optimization
musculoskeletal modeling
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14480371912021-08-03T06:33:56Z A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion Brown, Brandon Biomechanics muscle force determination computed muscle control muscle activation electromyography static optimization musculoskeletal modeling The weightless environment of space negatively affects the health and safety of astronauts. If long term space flight is to be achieved, astronauts must maintain the ability to work against gravity present on Earth when they return. Current exercise protocols need to be tailored to a weightless environment. Finite element modeling and differential equations representing bone growth can be used to tailor exercise. To make use of these methods, muscle forces need to be accurately predicted. This work examines two muscle force prediction techniques from the literature, namely inverse dynamics based static optimization and computed muscle control, to determine a method to be used for the tailoring of exercise protocols. A previous study compared static optimization and computed muscle control finding that they were equal in representing the timing of muscle activations. This is a similar study during a throwing motion but for five subjects and ten trials. This study compares resulting forces and activations of the biceps, triceps long and triceps lateral to electromyography through quantitative and statistical measures. Computed muscle control and static optimization are essentially equal in their ability to predict height of normalized electromyography. Computed muscle control is shown to be better at predicting timing of normalized electromyography as a statistically significant difference exists in time at peaks between each method and electromyography. A significant difference also exists in the average Pearson correlation coefficient between activations of each method and electromyography. It is further shown that both methods could be improved through scaling. 2015 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Biomechanics
muscle force determination
computed muscle control
muscle activation
electromyography
static optimization
musculoskeletal modeling
spellingShingle Biomechanics
muscle force determination
computed muscle control
muscle activation
electromyography
static optimization
musculoskeletal modeling
Brown, Brandon
A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
author Brown, Brandon
author_facet Brown, Brandon
author_sort Brown, Brandon
title A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
title_short A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
title_full A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
title_fullStr A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
title_full_unstemmed A Comparison of Computational Methods to Predict Muscle Force during a Throwing Motion
title_sort comparison of computational methods to predict muscle force during a throwing motion
publisher University of Cincinnati / OhioLINK
publishDate 2015
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037191
work_keys_str_mv AT brownbrandon acomparisonofcomputationalmethodstopredictmuscleforceduringathrowingmotion
AT brownbrandon comparisonofcomputationalmethodstopredictmuscleforceduringathrowingmotion
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