Outcome Prediction of Consciousness Disorders in the Acute Stage Based on a Complementary Motor Behavioural Tool
Related publications (40)
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
The technique for evaluating the material balance during transitions was presented in Part 1 of this series. In the present paper we investigate the energy balance in order to det. the consistency of the data. The same statistical test as used for the mate ...
Although non-parametric tests have already been proposed for that purpose, statistical significance tests for non-standard measures (different from the classification error) are less often used in the literature. This paper is an attempt at empirically ver ...
We introduce an integrated framework for detecting brain activity from fMRI data, which is based on a spatial discrete wavelet transform. Unlike the standard wavelet-based approach for fMRI analysis, we apply the suitable statistical test procedure in the ...
This paper proposes and evaluates a new approach to directory-based cache coherence protocols called Reactive NUMA (R-NUMA). An R-NUMA system combines a conventional CC-NUMA coherence protocol with a more-recent Simple-COMA (S-COMA) protocol. What makes R- ...
A benchmarking suite describing over 1000 optimization problems and constraint satisfaction problems covering problems from di®erent traditions is described, annotated with best known solutions, and accompanied by recommended benchmarking protocols for com ...
In this paper we present the results of the StatSearch case study that aimed at providing enhanced access to statistical data available on the Web. In the scope of this case study we developed a prototype of an information access tool combining uerybased s ...
Group sequential methods find a particular field of application in clinical trials because patient recruitment is by nature sequential. It is important to minimize the number of patients exposed to an inferior treatment. Moreover, the experimenter is requi ...
We report the first observation of the decay B̄0→Ds+Λ p̄ with a statistical significance of 6.6σ. We measure B(B̄0→Ds+Λp̄)=(2.9±0.7±0.5±0.4) ×10-5, where the first error is statistical, the second is systematic, and the third error comes from the uncertain ...
Model-based statistical analysis of functional magnetic resonance imaging (fMRI) data relies on the general linear model and statistical hypothesis testing. Due to the large number of intracranial voxels, it is important to deal with the multiple compariso ...
Although non-parametric tests have already been proposed for that purpose, statistical significance tests for non-standard measures (different from the classification error) are less often used in the literature. This paper is an attempt at empirically ver ...