الفهرس 
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Abstract
A study research shows that there is a firm relation between Electroencephalogram (EEG), and chronic pain levels and EEG can be used as a reliable tool for detecting, measuring and diagnosing pain levels in humans. The helping tool used in this Research for detection and measuring the EEG signal is called Mindwave head set from Neurosky Company with its simulation program and using MATLAB simulation program for making FFT for the extracted data . The detection of existence and/or level of pain is vital when verbal information is not present e.g. for infants, disabled persons, anesthetized patients and animals also.
In some cases, it is difficult or even impossible for an adult to express their feelings due to injury or disability that prevents them from expressing it. Similarly, in children who have not acquired sufficient capacity for expression, science has to intervene to find an alternative way of knowing the inner feeling of man.
This work is devoted to investigating EEG-based biometric pain detection systems. One potential advantage of using EEG signals is the difficulty in generating artificial signals with biometric characteristics, thus making the spoofing of EEG-based biometric systems a challenging task. However, more works needs to be done to overcome certain drawbacks that currently prevent the adoption of EEG biometrics in real-life scenarios.
The goal of the thesis is to develop a system to detect the pain signals, a non-invasive objective approach towards pain detection. Specific objective is to develop a system that differentiates between pain and other signals received from the brain.