Randomness Prediction of Brain Tumor by Analyzing EEG Signal Using Approximate Entropy and Regression Analysis
Md. Kamrul Hasan1, Md. Osman Goni Nayeem2, Md. Asif Ahamed3, Maung Ning Wan4, Mohiuddin Ahmad5
1Md. Kamrul Hasan, Department of Electrical and Electronic Engineering (EEE), Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh.
2Md. Osman Goni Nayeem, Department of Electrical and Electronic Engineering (EEE), KUET, Khulna, Bangladesh. 
3Md. Asif Ahamed, Department of EEE, KUET, Khulna-, Bangladesh.
4Maung Ning Wan, Department of EEE, KUET, Khulna, Bangladesh.
5Mohiuddin Ahmad, Department of Electrical and Electronic Engineering (EEE), KUET, Khulna, Bangladesh

Manuscript received on August 16, 2015. | Revised Manuscript received on August 29, 2015. | Manuscript published on September 05, 2015. | PP: 51-55 | Volume-5 Issue-4, September 2015 . | Retrieval Number: D2690095415 /2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: Brain activity commonly known as the Electroencephalographic (EEG) signal is the measure of the brain state either normal or abnormal condition of the human brain. The brain contains about 10 Billion or more working brain cells. Brain tumor is life frightening disease of human brain. The brain tumor is the disease which neutralize the neuron day by day on the brain. The detection of brain tumor is one of the major problem by analyzing the brain signal (EEG Signal). The more the age of the tumor in the brain indicates the more randomness that is more unpredictable. In our research, we tried to find out the solution for the detection of tumor level that exist in the human brain. To complete this research, EEG data of the tumor patients having different age of tumor growth is analyzed and regression equation is determined for the prediction of the randomness. By using this regression equation, clinical person may provide the treatment for the tumor affected persons.
Keywords: EEG Signal, Approximate Entropy (ApEn), Brain Tumor, Regression Analysis.