Investigating Velopharyngeal Closure Force with Linear Regression

Citation Author(s):
Anish
Sana
Jamie L
Perry
Nasseh
Tabrizi
Submitted by:
Anish Sana
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/H2F95C
Research Article Link:
License:
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Abstract 

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The purpose of this study is to investigate the effects of muscles in the velopharyngeal (VP) system on closure force using a machine learning algorithm and linear regression. VP muscle data from 10 adults and 10 children were acquired for the training set used to predict closure force values and their direction. The algorithm was able to accurately calculate the closure force for any set of anatomical parameters. It was observed that the velum had a major influence on closure force.

Instructions: 

This dataset contains closure force and angles for each subject at varying muscle activation levels.

Comments

closure force and angles for each subject at varying muscle activation levels

Submitted by Anish Sana on Sun, 02/18/2018 - 16:19