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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Dysphagia. 2020 May 14;36(2):231–241. doi: 10.1007/s00455-020-10123-0

Table 3.

Overview comparison of kinematic analysis and computational analysis of swallowing mechanics (CASM) research methods

Kinematic analysis CASM
Dependent variables Univariate physical measurements of distance and time Eigenvector-based mathematical representation of geometric morphology. Time can be factored in as a covariate
Multivariate analysis and results Indicates statistical associations of multiple variables Indicates structural changes in swallowing mechanics associated with multiple independent variables of interest
Applications Can be used to show statistical differences in cohort or population studies Can be used to visualize swallowing mechanics in patient-specific, cohort, or population studies
Limitations Does not visually assess covariance of the multiple elements of swallowing mechanism Temporal variables cannot be extracted to calculate time differences in swallowing events
Key advantage(s) Results reported in actual time and distances are easy to comprehend. (Table 2ab) Vectors representing differences in multiple swallowing mechanics are visualized within anatomical context (Fig. 4ad)