TY  - JOUR
T1  - Design and Implementation of Brain Signal Detection and Analysis Approach
AU - Mohammed Abed, Ahmed AU - Shaban Al-Ani, Muzhir 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 5
SP  - 1262
EP  - 1270
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1262.1270
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1262.1270
KW  - image segmentation
KW  -Brain signal
KW  -ANN
KW  -signal processing
KW  -signal analysis
KW  -brain disease
KW  -DWT
AB  - The brain is the main control of the body and any disorder that occurs in the brain affects the body’s
vital activity. There are many diseases that infect the brain and effect on brain functions and which affects many
people around the world. Brain signals extracted by EEG system are used to diagnose brain signals and classify
them as normal or abnormal. The process of detecting and classifying EEG signals are difficult and exhausting
process and require effort by the specialist doctor to diagnose them. Brain injury treatment is complicated and
require surgical intervention when the injury is severe but when early detection of injury may be treated without
surgical intervention. This study will use the EEG signals that have been collected as images. Then these
signals will be extracted from these images. At the beginning the background will be removed by thresholding
and then extracting the signals by tracking each signal. These signals are then analyzed using DWT for features
extraction and using ANN for classification.
ER  -