A system (100, 400) for monitoring multiple EEG machines and acquiring EEG recording from each EEG machine, the system comprising: a plurality of EEG machines, each of the plurality of EEG machine comprising a plurality of electrodes for generating a plurality of EEG signals; a network; a client site comprising a processing engine, a database and a display monitor, the processing engine configured to process each of the plurality of EEG signals from each of the EEG machines to generate a plurality of processed EEG recordings, wherein the processing engine is configured to display each of the EEG recordings in a separate cell in a display page for display on the display monitor; characterised in that each of the plurality of EEG machines is in a separate facility and the processing engine is configured to monitor each channel for electrode artifacts during acquisition of the EEG signals and remove the electrode artifacts to provide a higher level of seizure detection accuracy than without removal of the electrode artifacts; wherein the processing engine is configured to detect artifacts in the EEG signals by analyzing a plurality of features; wherein an artifact intensity is illustrated in each of the plurality of separate cells, the artifact intensity shown as a series of horizontal lines comprising a horizontal line for a muscle artifact, a horizontal line for a chewing artifact, a horizontal line for a vertical eye movement artifact, and a horizontal line for a lateral eye movement artifact; wherein the processing engine is configured to display a plurality of trends for each of the EEG recordings in each of the separate cells in the display page, wherein the plurality of trends comprises a seizure probability trend showing a calculated probability of seizure activity over a predetermined time, a rhythmicity spectrogram measuring the amount of rhythmicity which is present at each frequency in an EEG record, a left hemisphere trend, a right hemisphere trend, a fast Fourier transformation, FFT, spectrogram left hemisphere trend, a FFT spectrogram right hemisphere trend, an asymmetry relative spectrogram trend, and an ambulatory EEG, aEEG trend. a plurality of EEG machines, each of the plurality of EEG machine comprising a plurality of electrodes for generating a plurality of EEG signals; a network; a client site comprising a processing engine, a database and a display monitor, the processing engine configured to process each of the plurality of EEG signals from each of the EEG machines to generate a plurality of processed EEG recordings, wherein the processing engine is configured to display each of the EEG recordings in a separate cell in a display page for display on the display monitor; characterised in that each of the plurality of EEG machines is in a separate facility and the processing engine is configured to monitor each channel for electrode artifacts during acquisition of the EEG signals and remove the electrode artifacts to provide a higher level of seizure detection accuracy than without removal of the electrode artifacts; wherein the processing engine is configured to detect artifacts in the EEG signals by analyzing a plurality of features; wherein an artifact intensity is illustrated in each of the plurality of separate cells, the artifact intensity shown as a series of horizontal lines comprising a horizontal line for a muscle artifact, a horizontal line for a chewing artifact, a horizontal line for a vertical eye movement artifact, and a horizontal line for a lateral eye movement artifact; wherein the processing engine is configured to display a plurality of trends for each of the EEG recordings in each of the separate cells in the display page, wherein the plurality of trends comprises a seizure probability trend showing a calculated probability of seizure activity over a predetermined time, a rhythmicity spectrogram measuring the amount of rhythmicity which is present at each frequency in an EEG record, a left hemisphere trend, a right hemisphere trend, a fast Fourier transformation, FFT, spectrogram left hemisphere trend, a FFT spectrogram right hemisphere trend, an asymmetry relative spectrogram trend, and an ambulatory EEG, aEEG trend.