Detection and Classification of Epileptic Seizure using RBF Neural Network

The rapid growth of the medical technologies and constant renewal of medical facilities, electrocardiography (ECG) provides an effective and easy to use means for arrhythmia classification and heart rate variability (HRV) analysis. Most of the existing ECG device has the disadvantage of poor local signal processing ability. After thorough investigation, Android platform is adopted to develop an ECG signal processing application for real time arrhythmia classification and HRV analysis. The ECG data acquired are transmitted to the Android smart phone or tablet via Bluetooth. ECG simulator is connected to signal conditional unit. The received analog signals are converted to the digital values and then passed to the microcontroller. From the microcontroller data, will be transmitted with the help of Bluetooth and it will be received from the mobiles phones. Android application for interface with ECG kit for monitoring patient health status is created. For this process, first Bluetooth connection with ECG Bluetooth device is established, once the connection is success, data from established connection is received through mobile phones. Keyword : Electrocardiography, arrhythmia, ECG simulator and HRV etc....