<p>(A) The average number of unclassified muscles is shown as a function of the number of clusters. Each colored line corresponds to the level of stringency for the variability in classification across subjects, e.g. 100% stringency corresponds to the same classification in all subjects. The right panel shows the same values normalized to the average number of muscles in all clusters. (B) The same analysis as in A for distal muscles only. Vertical black arrow indicates the nontrivial minimum for the number of clusters (11 clusters for all and 6 clusters for distal muscles), which represents the most reliable number of muscle clusters.</p
Motor unit number index (MUNIX) is proposed to monitor neuromuscular disorders. Our objective is to ...
<div><p>Functional connectivity has become an increasingly important area of research in recent year...
Among other applications, electromyography (EMG) is used in the assessment of locomotion pathologies...
<p>(A) Geometric illustration of heterogenous variance explained (HVE). HVE distance is determined b...
A cluster index of zero would indicate a homogeneous distribution of the ‘hot’ voxels of FDG across ...
OBJECTIVE: The motor unit size index (MUSIX) is incorporated into the motor unit number index (MUNIX...
<p>Results of cluster analysis showing the similarities in the 12 joints among the well-preserved 70...
<p>(a) The population map shows the localization of all 134 body measures in SOM space. The color co...
<p>In the left column the patterns are listed, as demonstrated during the performance of the element...
BACKGROUND:Motor Unit Number Index (MUNIX) is a neurophysiological measure that provides an index of...
© 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights r...
<p>The mean percentages of occurrence (with regard to the 90 scans) and standard error means (SEM) p...
Item does not contain fulltextOBJECTIVE: To investigate the intra-rater and inter-rater test-retest ...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
Functional connectivity has become an increasingly important area of research in recent years. At a ...
Motor unit number index (MUNIX) is proposed to monitor neuromuscular disorders. Our objective is to ...
<div><p>Functional connectivity has become an increasingly important area of research in recent year...
Among other applications, electromyography (EMG) is used in the assessment of locomotion pathologies...
<p>(A) Geometric illustration of heterogenous variance explained (HVE). HVE distance is determined b...
A cluster index of zero would indicate a homogeneous distribution of the ‘hot’ voxels of FDG across ...
OBJECTIVE: The motor unit size index (MUSIX) is incorporated into the motor unit number index (MUNIX...
<p>Results of cluster analysis showing the similarities in the 12 joints among the well-preserved 70...
<p>(a) The population map shows the localization of all 134 body measures in SOM space. The color co...
<p>In the left column the patterns are listed, as demonstrated during the performance of the element...
BACKGROUND:Motor Unit Number Index (MUNIX) is a neurophysiological measure that provides an index of...
© 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights r...
<p>The mean percentages of occurrence (with regard to the 90 scans) and standard error means (SEM) p...
Item does not contain fulltextOBJECTIVE: To investigate the intra-rater and inter-rater test-retest ...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
Functional connectivity has become an increasingly important area of research in recent years. At a ...
Motor unit number index (MUNIX) is proposed to monitor neuromuscular disorders. Our objective is to ...
<div><p>Functional connectivity has become an increasingly important area of research in recent year...
Among other applications, electromyography (EMG) is used in the assessment of locomotion pathologies...