Abstract: The present invention relates to a classification system (1) for microprocessor-assisted identification of obstruction types (O1-O4) in sleep apnoea by means of appropriate classification of a snoring-noise signal (Au) to be analysed. The system comprises: a) an input interface for each snoring-noise signal (Au); b) a first classifier (K1) which can be trained such that it identifies and outputs the most probable type of snoring-noise origin (S1-S4) for a particular snoring-noise signal (Au); c) a second classifier (K2) which can be trained such that it identifies and outputs the most probable mouth position (M1-M2) for a particular snoring-noise signal (Au); and d) a third classifier (K3) or linkage matrix, which is designed to identify and output the most probable obstruction type (O1-O4) from the snoring-noise signal (Au) to be analysed, the determined type of snoring-noise origin (S1-S4) and the mouth position (M1-M2) determined therefor.

Abstract: A method and apparatus are taught in which tonsils are be treated by using an applicator in a bipolar design. This means that no neutral electrode (i.e. no separate return electrode) is necessary.

Abstract: The invention relates to an electrosurgical probe, in particular for electrocoagulation, comprising a handle and a shaft, the shaft being joined to the handle and having at least two electrodes offset from each other in the axial direction of the shaft, with one electrode closer to the handle forming a proximal electrode and one electrode more distant from the handle forming a distal electrode, wherein said electrodes each form an electrically conductive outer surface of the shaft and are electrically insulated from each other by an insulator, the outer diameter of the two electrodes and the outer diameter of the insulator being approximately the same, wherein a bite piece made of a biocompatible and preferably soft material is provided near the handle on the outside of the shaft in the region of the proximal electrode.