Artificial Intelligence Techniques
Applications of Neural Networks
Analysis of data
Classifying in EEG
Pattern recognition in ECG
EMG disease detection.
Gueli N et al (2005) The influence of lifestyle on cardiovascular
risk factors analysis using a neural network
Archives of Gerontology
To produce a model of risk facts in
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 E
Systems with Applications
xx (2004) 1
Recordings of electrical activity from the
Input is normalise to be within the
range 0 to 1.
Feature were extracted and form the
input to the network, from wavelets.
Karsten Sternickel (2002) Automatic pattern recognition in ECG
Computer Methods and Programs in Biomedicine
signals from the heart.
Classification of patterns
Patterns were spotted
Abel et al (1996) Neural network analysis of the EMG
Med. Eng. Phys.
Vol. 18, No. 1. pp.
Interference patterns are signals
produce from various parts of a muscle
hard to see features.
Applied neural network to EMG
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.
Controlling a vehicle
Raoa S, Mandal S(2005)
storm waves using neural networks
32 (2005) 667
MLP used to predict storm waves.
Good correlation between ANN model and
van de Ven P, Flanagan C, Toal D (in press)
Neural network control of underwater vehicles
Engineering Applications of Artificial Intelligence
Control using ANN
ANN replaces a mathematical model of
Kuo RJ, et al (in press)
formation through fuzzy ART2 neural
Decision 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
echanical Systems and Signal Processing
(2000) 14(2), 287
Modelling tool wear
Combines ANN with other AI (Expert
Self organising Maps (SOM) and ART2
SOM better for extracting the required