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Artificial Intelligence Techniques. Applications of Neural Networks. Example Applications. Analysis of data Classifying in EEG Pattern recognition in ECG EMG disease detection.
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Artificial Intelligence Techniques Applications of Neural Networks
Example Applications • Analysis of data • Classifying in EEG • Pattern recognition in ECG • EMG disease detection.
Gueli N et al (2005) The influence of lifestyle on cardiovascularrisk factors analysis using a neural network Archives of Gerontology and Geriatrics 40 157–172 • To produce a model of risk facts in heart disease. • MLP used • The accuracy was relatively good for chlorestremia and triglyceremdia: • Training phase around 99% • Testing phase around 93% • Not so good for HDL
Subasi A (in press) Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients Expert Systems with Applications xx (2004) 1–11 • Electroencephalography (EEG) • Recordings of electrical activity from the brain. • Classifying operation • Awake • Drowsy • Sleep
MLP • 15-23-3 • Hidden layer – log-tanh function • Output layer – log-sigmoid function • Input is normalise to be within the range 0 to 1.
Accuracy • 95%+/-3% alert • 93%+/-4% drowsy • 92+/-5% sleep • Feature were extracted and form the input to the network, from wavelets.
Karsten Sternickel (2002) Automatic pattern recognition in ECG time series Computer Methods and Programs in Biomedicine 68 109–115 • ECG – electrocardiographs – electrical signals from the heart. • Wavelets again. • Classification of patterns • Patterns were spotted
Abel et al (1996) Neural network analysis of the EMG interference pattern Med. Eng. Phys. Vol. 18, No. 1. pp. 12-l 7 • EMG – Electromyography – muscle activity. • Interference patterns are signals produce from various parts of a muscle- hard to see features. • Applied neural network to EMG interference patterns.
Classifying • Nerve disease • Muscle disease • Controls • Applied various different ways of presenting the pattern to the ANN. • Good for less serve cases, serve cases can often be see by the clinician.
Example Applications • Wave prediction • Controlling a vehicle • Image processing • Condition monitoring
Wave prediction • Raoa S, Mandal S(2005) Hindcasting of storm waves using neural networksOcean Engineering 32 (2005) 667–684 • MLP used to predict storm waves. • 2:2:2 network • Good correlation between ANN model and another model
van de Ven P, Flanagan C, Toal D (in press) Neural network control of underwater vehiclesEngineering Applications of Artificial Intelligence • Semiautomous vehicle • Control using ANN • ANN replaces a mathematical model of the system.
Kuo RJ, et al (in press) Part family formation through fuzzy ART2 neural networkDecision Support Systems • Image recognition of part • Deals with the shifting of the part
Silva et al (2000) THE ADAPTABILITY OF A TOOL WEAR MONITORING SYSTEM UNDER CHANGING CUTTING CONDITIONS Mechanical Systems and Signal Processing (2000) 14(2), 287-298 • Modelling tool wear • Combines ANN with other AI (Expert systems) • Self organising Maps (SOM) and ART2 investigated • SOM better for extracting the required information.