Abstract
Conference Title: 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Conference Start Date: 2016, Sept. 7 Conference End Date: 2016, Sept. 9 Conference Location: Noida, India It has been always a challenging task for the researchers to incorporate information technology advancements in the medical profession. Epilepsy is a neurological disorder which is rampant in 1% of the world population. Epilepsy is a recurrent dysfunctional activity of the brain. An epileptic seizure can occur in epilepsy patients at any time, which can cause physical injury to the patient and may even lead to the patient's death. It is a challenging task for the researchers to infer a pre seizure epilepsy attack. Human-machine interaction is a step towards achieving this goal, but current therapies do not provide a full proof mechanism for real time seizure detection. Present day networks provide an excellent mechanism for the transfer of audio and video at a blazing speed. In this work, we have presented a novel concept of providing an interface between the epileptic patient sensor nodes and the smart phones. The motive behind developing this interface is to sense early and accurately a seizure triggering, create an alarm system for the patient and his doctors and relatives whenever and wherever required, so that through this alarm system no physical injury occurs to the patient.