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Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Bi Phasic Nonlinear Mixed Effects (Nlme) Model Nlmefit, 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
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Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Nlmefit Function, 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/result/nlmefit function/product/MathWorks Inc
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Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Nlmefit Function In Matlab R2016b, 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/result/nlmefit function in matlab r2016b/product/MathWorks Inc
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Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Nlmefit Function Matlab R2011b, 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
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MathWorks Inc nlmefit function in matlab r2014b
Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Nlmefit Function In Matlab R2014b, 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
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MathWorks Inc nlmefit in matlab r2017b
Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic <t>NLME</t> models (a–d) and the LME models (e–h).
Nlmefit In Matlab R2017b, 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
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Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic NLME models (a–d) and the LME models (e–h).

Journal: International journal of speech-language pathology

Article Title: Automatic extraction of abnormal lip movement features from the alternating motion rate (AMR) task in ALS

doi: 10.1080/17549507.2018.1485739

Figure Lengend Snippet: Scatter plots showing the relations of the AMR variables to speech intelligibility (a–d) and speaking rate (e–h) in subjects with ALS. Circles correspond to data from subjects with a single-session recording; dots correspond to data from subjects with multiple-session (longitudinal) recordings. The lines correspond to the fit of the bi-phasic NLME models (a–d) and the LME models (e–h).

Article Snippet: To assess behavioural changes during the progression of bulbar ALS, we stratified the early and late stages of bulbar ALS based on a bi-phasic nonlinear mixed effects (NLME) model ( nlmefit , MATLAB R2016a).

Techniques: