Abstract
Self-Organising Feature Map (SOFM) along with learning vector quantizers (LVQ) have been designed to identify the alterations in brain electrical potentials due to exposure to high environmental heat in rats. Three groups of rats were considered—acute heat stressed, chronic heat stressed and control groups. After long EEG recordings following heat exposure, EEG data representing three different vigilance states such as slow wave sleep (SWS), rapid eye movement (REM) sleep and AWAKE were visually selected and further subdivided into 2 seconds long epoch. In order to evaluate the performance of artificial neural network (ANN) in recognizing chronic and acute effects of heat stress with respect to the control subjects, unsupervised learning algorithm was applied on EEG data. Mean performance of SOFM with quadratic taper function was found to be better (chronic-92.6%, acute-93.2%) over the other two tapers. The effect of LVQ after the initial SOFM training seems explicit giving rise to considerable improvements in performance in terms of selectivity and sensitivity. The percentage increase in selectivity with uniform taper function is maximum for chronic and its control group (4.01%) and minimum for acute group (1.29%) whereas, with Gaussian it is almost identical (chronic-2.57%, acute-2.03%, control- 2.33%). Quadratic taper function gives rise to an increase of 2.41% for chronic, 1.96% for acute and 2.91% for control patterns.
Highlights
The scientific interest of stress in relevance to health and disease began to develop in the 20th century, when Selye started his work on stress with more suited scientific analysis, and stress has been accepted to be a state, comprised of certain psychophysiological reactions that prepare an organism for action
In order to evaluate the performance of artificial neural network (ANN) in recognizing chronic and acute effects of heat stress with respect to the control subjects, unsupervised learning algorithm was applied on EEG data
Substantial increase in performance was seen in the simulation of 8 × 8 Self-Organising Feature Map (SOFM) in acute heat stress
Summary
The scientific interest of stress in relevance to health and disease began to develop in the 20th century, when Selye started his work on stress with more suited scientific analysis, and stress has been accepted to be a state, comprised of certain psychophysiological reactions that prepare an organism for action. It is usually described to be an essential component that is enabling the organism to survive in the hostile environment and to make an effort to compensate with the altered situation of the stressful conditions. Stress has been defined as nonspecific responses of the body to any demand. Every demand made on the body is unique and specific, but all stress, have one thing in common; they increase the demand for the readjustment for performance of adaptive functions, which reestablish normally. Stress is meant to be acute or at least of a limited duration. And excessiveness of stress system activation, on the other hand, would lead to the syndromal state that severe chronic disease of any etiology could present with anorexia, loss of weight, depression, and peptic ulcers
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