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    Chapter and Conference Paper

    Seizure Detection with the Self-Organising Feature Map

    We have developed a system to detect the presence of seizures in the multichannel scalp EEG. At the heart of the system is the Self-Organising Feature Map (SOFM) that has been trained on normal and epileptifor...

    Christopher James, Katsuhiro Kobayashi in Artificial Neural Networks in Medicine and… (2000)

  2. No Access

    Chapter and Conference Paper

    Isolating Seizure Activity in the EEG with Independent Component Analysis

    We present a methodology for isolating the underlying seizure activity from the scalp EEG recorded during seizure onset in a number of patients. We use the method of Independent Component Analysis (ICA) to iso...

    Christopher James, David Lowe in Artificial Neural Networks in Medicine and Biology (2000)

  3. Article

    Open Access

    Evaluation of a smartwatch-based intervention providing feedback of daily activity within a research-naive stroke ward: a pilot randomised controlled trial

    The majority of stroke patients are inactive outside formal therapy sessions. Tailored activity feedback via a smartwatch has the potential to increase inpatient activity. The aim of the study was to identify ...

    Sophie Lawrie, Yun Dong, Dax Steins, Zhidao **a in Pilot and Feasibility Studies (2018)