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   Quantification of clinical scores through physiological recordings in low-responsive patients: A feasibility study  
   
نویسنده wieser m. ,buetler l. ,vallery h. ,schaller j. ,mayr a. ,kofler m. ,saltuari l. ,zutter d. ,riener r.
منبع journal of neuroengineering and rehabilitation - 2012 - دوره : 9 - شماره : 1
چکیده    Clinical scores represent the gold standard in characterizing the clinical condition of patients in vegetative or minimally conscious state. however,they suffer from problems of sensitivity,specificity,subjectivity and inter-rater reliability. in this feasibility study,objective measures including physiological and neurophysiological signals are used to quantify the clinical state of 13 low-responsive patients. a linear regression method was applied in nine patients to obtain fixed regression coefficients for the description of the clinical state. the statistical model was extended and evaluated with four patients of another hospital. a linear mixed models approach was introduced to handle the challenges of data sets obtained from different locations. using linear backward regression 12 variables were sufficient to explain 74.4% of the variability in the change of the clinical scores. variables based on event-related potentials and electrocardiogram account for most of the variability. these preliminary results are promising considering that this is the first attempt to describe the clinical state of low-responsive patients in such a global and quantitative way. this new model could complement the clinical scores based on objective measurements in order to increase diagnostic reliability. nevertheless,more patients are necessary to prove the conclusions of a statistical model with 12 variables. © 2012 wieser et al.; licensee biomed central ltd.
کلیدواژه Clinical score; Linear regression; Low-responsive patients; Minimally conscious state; Quantification; Vegetative state
آدرس department of health science and technologies,sensory-motor systems lab,institute of robotics and intelligent systems,tannenstrasse 1,zurich,8092,switzerland,medical faculty,balgrist university hospital,university of zurich,zurich, Switzerland, department of health science and technologies,sensory-motor systems lab,institute of robotics and intelligent systems,tannenstrasse 1,zurich,8092,switzerland,helios clinic zihlschlacht,center for neurological rehabilitation,zihlschlacht, Switzerland, department of health science and technologies,sensory-motor systems lab,institute of robotics and intelligent systems,tannenstrasse 1,zurich,8092,switzerland,medical faculty,balgrist university hospital,university of zurich,zurich,switzerland,biomedical engineering,khalifa university,abu dhabi, United Arab Emirates, department of neurology,hochzirl hospital,zirl, Austria, department of neurology,hochzirl hospital,zirl, Austria, department of neurology,hochzirl hospital,zirl, Austria, department of neurology,hochzirl hospital,zirl,austria,research unit for neurorehabilitation south tyrol,bolzano, Italy, helios clinic zihlschlacht,center for neurological rehabilitation,zihlschlacht, Switzerland, department of health science and technologies,sensory-motor systems lab,institute of robotics and intelligent systems,tannenstrasse 1,zurich,8092,switzerland,medical faculty,balgrist university hospital,university of zurich,zurich, Switzerland
 
     
   
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