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Epilepsy is a common neurological condition with significant resource implications. An estimation was performed in France of the direct medical cost of patients presented with newly diagnosed seizures and followed during the first two years after diagnosis. This estimation was based on the service utilization data collected from French prospective cohort(More)
— An opportunistic radio is a radio able to detect the spectrum unused bands, and to adapt its transmission parameters in order to transmit within these free bands. An opportunistic terminal has also to be able to detect opportunistic access points and to recognize their used standards. As most standards are now based on OFDM modulation with distinct(More)
A graph based classiſer is proposed to recognize the different time phases of the up & go test based on signals collected by an inertial sensor set on a person chest. This test being a sequential set of actions, a graph is used to model it and enforce the classiſcation algorithm to estimate a solution with this constraint. The graph is described by a Markov(More)
BACKGROUND To determine the incidence, risk factors, and case fatality rate of status epilepticus (SE) in the French-speaking part of Switzerland. METHODS Between October 1, 1997 and September 30, 1998 all cases of SE referred to all the hospitals in the six cantons of the French-speaking part of Switzerland were identified by physicians working in(More)
Data about psychiatric disorders associated with epilepsy as well as their risk factors are heterogeneous. The overall prevalence of psychiatric disturbances in epileptic patients can be estimated between 20 and 30 per cent. It is the highest in pharmocoresistant cases seen in specialized centers. Psychotic disorders, depression, and suicide are the three(More)
Most idiopathic generalized epilepsies have an onset in childhood or adolescence, with a moderate second incidence peak in the presenium predominantly in women. This study addressed the question of a later onset. The available literature and the records of four personal data sets (two prospective incidence surveys of epileptic seizures, one prevalence study(More)
In this paper, an algorithm able to detect epilepsy seizure based on 3D accelerometers and with patient adaptation is presented. This algorithm is based on a Bayesian approach using hidden Markov models for statistical modelling of moves signals. A particular focus is set on the learning procedure and in particular on its initialisation to ensure a good(More)