Abstract: An apparatus and method for EEG monitoring provides multi-dimensional classification of EEG samples, using a neural network having multiple outputs trained upon a training set of samples to define an n-dimensional space in which to classify the samples and provide to the user a display of that space.

Abstract: Apparatus for monitoring those signals in the brain which give rise to electroencephalograms (EEG) is described. The apparatus is particularly applicable to the fetus where EEG signals often contain a component of those signals which give rise to electrocardiographs (ECG). In the apparatus ECG signals picked up by electrodes in an electrode assembly forming part of the apparatus are eliminated by deriving two signals having equal ECG components, the two signals being subtracted from one another to provide a signal representing EEG. The electrodes may be concentric annular electrodes, for example, or relatively small disc electrodes spaced apart at the vertices of an equilateral triangle.

Abstract: Work table has fence thereon for supporting and locating workpiece. Hold-down bars and guide bars are secured to a mounting bar and are movable so that the hold-down bars lie across the workpiece. A carriage is movably mounted on the guide bars and is arranged to carry a router across the workpiece so that the workpiece can be routed.