Biomedical Epilepsy Multiprocessor Network on Chip EEG Utilizing IEEE802.11n Systems

摘要

This paper presents a novel wearable biomedical Network on Chip (NoC) concept development to monitor and predict irregular brain waves as advanced sensitive portable for an electroencephalogram (EEG) analysis device. The proposed device will monitor brain's spontaneous electrical activity in normal and abnormal situations for specific patients suffering from different types of epilepsy. This NOC would be able to predict the severity of the forthcoming epileptic attack. Meanwhile, this device will alert epileptic patients by giving an alarm on detection of any kind of abnormal brain electrical activity. The EEG NoC reads brain signals from a wireless sensor on the located on the patient's scalp, and runs parallel processing and filtering for the brainwaves. This process makes the detection of brain abnormalities possible, and many patients can be saved by predicting the time of epileptic seizure. When such a prediction occurs, alarm signals are sent to the patient to take protective measures. In this way, it will help patients to prevent themselves from different kinds of injuries and risky behaviors occurring during epilepsy attack or after that.