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  • 标题:Randomness Prediction of Brain Tumor by Analyzing EEG Signal Using Approximate Entropy and Regression Analysis
  • 本地全文:下载
  • 作者:Md. Kamrul Hasan ; Md. Osman Goni Nayeem ; Md. Asif Ahamed
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2015
  • 卷号:5
  • 期号:4
  • 页码:51-55
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要: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
  • 关键词:EEG Signal; Approximate Entropy (ApEn); Brain;Tumor; Regression Analysis
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