semi-automated matlab tracker tool (MathWorks Inc)
90
Structured Review
MathWorks Inc
semi-automated matlab tracker tool
Semi Automated Matlab Tracker Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/semi-automated+matlab+tracker+tool/pmc09073754-127-13-14
Average 90 stars, based on 1 article reviews
Semi Automated Matlab Tracker Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/semi-automated+matlab+tracker+tool/pmc09073754-127-13-14
Average 90 stars, based on 1 article reviews
semi-automated matlab tracker tool - by Bioz Stars,
2026-09
90/100 stars
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Functional Assay:Article Title: Computational Analysis of Pharyngeal Swallowing Mechanics in Patients with Motor Neuron Disease: A Pilot Investigation Article Snippet: A medical student (RS) trained to annotate coordinates of anatomical landmarks using a Article Title: Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics Article Snippet: Prior to the use of a semi-automated Article Title: Computational Analysis of Pharyngeal Swallowing Mechanics in Patients with Motor Neuron Disease: A Pilot Investigation. Article Snippet: Swallowing impairment (dysphagia) is a common sequela in patients with motor neuron disease (MND).. The purpose of this retrospective, observational pilot investigation was to characterize how pharyngeal swallowing mechanics are impacted in patients with MND using a comparison with healthy, non-dysphagic control group.. Computational analysis of swallowing mechanics (CASM) was used to determine covariate biomechanics of pharyngeal swallowing from videofluoroscopic assessment in 15 patients with MND and 15 ageand sex-matched healthy controls. Article Title: Improvements resulting from respiratory-swallow phase training visualized in patient-specific computational analysis of swallowing mechanics Article Snippet: The |