@article{MAKHILLJEAS201813515697,
    title = {Design and Implementation of Brain Signal Detection and Analysis Approach},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {5},
    pages = {1262-1270},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.1262.1270},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.1262.1270},
    author = {Ahmed and},
    keywords = {image segmentation,Brain signal,ANN,signal processing,signal analysis,brain disease,DWT},
    abstract = {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.}
    }