List of Figures

Chapter I: Overview of Artificial Neural Networks and their Applications in Healthcare

Figure 1: Individual neural computation
Figure 2: A three-layer backpropogation network. Not all of the interconnections are shown.
Figure 3: A radial basis function network. Not all of the interconnections are shown. Each basis function acts like a hidden unit.
Figure 4: A probabilistic neural network
Figure 5: Architecture of a self-organizing map

Figure 1: Scalar waveform representing the electrical activity recorded on the body's surface over the duration of one heart beat. The various components of the waveform are labelled P, Q, R, S, and T.
Figure 2: Typical example of 12lead ECG recording attained through nine surface electrodes. Information is displayed as a series of 12 scalar traces for which morphology can be interpreted to determine presence of cardiac abnormality.
Figure 3: Schematic representation of the 192electrode array. The diagram represents an unrolled cylindrical matrix, with the middle region corresponding with the anterior torso and the left and right regions corresponding with the posterior.
Figure 4: QRS isointegral map calculated from data recorded from a normal patient. Electrode sites highlighted with circles illustrate regions of negative polarity, plus signs illustrate regions of positive polarity. Isolines are plotted at 5mVms intervals.
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