Abstract: Volume 6, Issue 1, January 2015 Detection of Epileptic Spike Patterns on EEG Signal of Epilepsy Patients with Wavelet Transform Method Pages: 1-6 (6) [Full Text] PDF (551K) Endro Yulianto, Endang Dian S. and Sari Luthfiyah Electromedical Engineering Department, Polytechnic of Health Surabaya, Ministry of Health of the Republic of Indonesia Abstract - Epilepsy is a disorder that occurs as such excessive not controlled from some or all central nervous system. Epilepsy is characterized by entering transient voltage to wave (spike and sharp wave) that are usually called epileptic spike. Detection and classifying of epileptic spike by using visual screening of EEG record is a work that complex and many time-consuming. This Research detect patterns epileptic spike in EEG signal of patients with epilepsy with the method wavelet transform through detection test result against gold standards using the detectability and selectivity. Types of wavelet that used in this research is Daubhecies 4, Coiflet 4, Mexican hat and Symlet 6. Wavelet Daubechies 4 produces the same value high of detectability and selectivity is 80% and 78.57% on the scale 9, Symlet 6 produces the 86.79% and 80.70% at scale 10, Coiflet 4 produces 83.02% and 78.57 % at scale 8, Mexican Hat produces 89.13% and 71.93% on the scale 3. Wavelet type Symlet 6 at scale 10 produces the detectability and selectivity, that is the best than 3 types of another wavelet. Index Terms - Epileptic Spike, Wavelet, Detectability and Selectivity Medical Image Enhancement Application Using Histogram Equalization in Computational Libraries Pages: 7-12 (6) [Full Text] PDF (761K) Mohamed Y. Adam, Mozamel M. Saeed and Al Samani A. Ahmed King Saud University, Agency for Business Development, Dept. Training and Community Service Center, KSA Salman Bin Abdul-Aziz University, Collage of Science, Dept. of Computer Science, KSA Al Neelain University Collage of Computer Science and Information Technology, Dept. of Computer Science, Sudan Abstract - Medical images are one of the fundamental images, because they are used in more sensitive field which is a medical field. The main goal of this paper is to give a simple guideline to build small application in order to enhance the Medical images using histogram equalization technique in MATLAB, which is the strong and most popular program in Computational Libraries, and the histogram equalization implemented without using the function histeq( ). Index Terms - Computational Libraries, Contrast, Histogram Equalization, Image Processing and Medical Image Enhancement Performance Analysis of Traffic Patterns over MANET Routing Protocols in Zigbee Personal Area Network Pages: 13-19 (7) [Full Text] PDF (872K) Elmustafa Sayed Ali Ahmed, Ibrahim Khider Altahir, A. Alrhman Mohammed and Amani Dawod Salih PubDate: Mon, 05 Jan 2015 04:24:40 -070