EEG Signal Based Seizures Detection using IOT

Abstract : Epilepsy is a chronic neurological disorder with several different types of seizures, some of them characterized by involuntary recurrent convulsions, which have a great impact on the everyday life of the patients. Several solutions have been proposed in the literature to detect this type of seizures and to monitor the patient; however, these approaches lack in ergonomic issues and in the suitable integration with the health system. This research makes an in-depth analysis of the main factors that an epileptic detection and monitoring tool should accomplish. Furthermore, we introduce the architecture for a specific epilepsy detection and monitoring platform, fulfilling these factors. Special attention has been given to the part of the system the patient should wear, providing details of this part of the platform. Finally, a partial implementation has been deployed and several tests have been proposed and carried out in order to make some design decisions.

 EXISTING SYSTEM :

 ? EEG aside, different biometric signals have been Exisitng for detecting the epileptic seizures gyroscopes, magnetometers, implanted advisory system, electromyography, video detection systems and data classification. ? The main data source to do so is the EEG, measuring the electrical activity of the brain to detect the epileptic seizures. ? But in Existing System There is no data maintain in server and monitor.

 DISADVANTAGE :

 ? No Proper Record Maintained in data base ,so we cannot predict seizure attack. ? Audio Based Seizure detection does not provide exact numeric values because there some noise involved so we cannot able to predict seizure.

 PROPOSED SYSTEM :

 • In Proposed system we use Accelerometer, GSR sensor to detect brain waves activity . • We will monitor accelerometer and GSR value of patient and store it to Database for feature prediction purpose. • Using Cloud Data we can use machine learning algorithm to predict epileptic seizures of patient .This system aims to protect life and also aids to live a healthy and normal life.

 ADVANTAGE :

 ? The detection of seizures and the alarm notification should work almost immediately. That means that once a seizure sets in, in the smallest time lapse the alarms should notify the relatives and the health services. ? Using IOT we can store data in cloud and we can analyze at any time anywhere. ? This Predicted value is used to create future dataset and more helpful in reaserch works also

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