Psychogenic tremor disorders identified using tree‐based statistical algorithms and quantitative tremor analysis
Identifieur interne : 003772 ( Main/Exploration ); précédent : 003771; suivant : 003773Psychogenic tremor disorders identified using tree‐based statistical algorithms and quantitative tremor analysis
Auteurs : Panida Piboolnurak [États-Unis] ; Natalia Rothey [États-Unis] ; Anwar Ahmed [États-Unis] ; Blair Ford [États-Unis] ; Qiping Yu [États-Unis] ; Dong Xu [États-Unis] ; Seth L. Pullman [États-Unis]Source :
- Movement Disorders [ 0885-3185 ] ; 2005-12.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Analyse quantitative, Arbre.
English descriptors
- KwdEn :
- Adult, Aged, Aged, 80 and over, Algorithm analysis, Algorithms, Diagnosis, Differential, Dystonia, Electromyography (methods), Female, Humans, Kinetics, Male, Middle Aged, Modeling, Models, Statistical, Nervous system diseases, Neurologic Examination, Neurophysiology, Parkinson disease, Parkinson's disease, Predictive Value of Tests, Psychogenic, Psychophysiologic Disorders (diagnosis), Quantitative analysis, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Statistical analysis, Tree, Tremor, Tremor (classification), Tremor (diagnosis), Tremor (physiopathology), dystonia, essential tremor, movement disorders, neurophysiology, psychogenic tremor, tree‐based modeling, tremor analysis.
- MESH :
- classification : Tremor.
- diagnosis : Psychophysiologic Disorders, Tremor.
- methods : Electromyography.
- physiopathology : Tremor.
- Adult, Aged, Aged, 80 and over, Algorithms, Diagnosis, Differential, Female, Humans, Kinetics, Male, Middle Aged, Models, Statistical, Neurologic Examination, Predictive Value of Tests, Sensitivity and Specificity, Signal Processing, Computer-Assisted.
Abstract
Detecting psychogenic tremors (PsychT) is often challenging. As there are no laboratory investigations or imaging techniques that can confirm the diagnosis, PsychT is identified on a clinical basis. We present a tree‐based statistical algorithm derived from quantitative computerized tremor recordings as a novel method to help in the recognition of PsychT. The goal of this study was to show that objective data from computerized tremor recordings, when processed through a tree‐based statistical algorithm, can be used to determine whether a patient can be classified as having PsychT. © 2005 Movement Disorder Society
Url:
DOI: 10.1002/mds.20634
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Detecting psychogenic tremors (PsychT) is often challenging. As there are no laboratory investigations or imaging techniques that can confirm the diagnosis, PsychT is identified on a clinical basis. We present a tree‐based statistical algorithm derived from quantitative computerized tremor recordings as a novel method to help in the recognition of PsychT. The goal of this study was to show that objective data from computerized tremor recordings, when processed through a tree‐based statistical algorithm, can be used to determine whether a patient can be classified as having PsychT. © 2005 Movement Disorder Society</div>
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