Analysis of ECG & EEG Signals and Implementation on Hardware

This system is based on an instrument that can be used for daily health monitoring purposes by a person. The system will show results based on Electroencephalogram and Electrocardiogram wave detection based on the alternative used by the user. The device will generate the waves of ECG and EEG. The system will determine normality and abnormality based on the BPM wave detected under the Electrocardiogram technique. After classification of ECG signal as normal and abnormal, further classification of abnormality is done. Based on the reading of the frequency, we determine the state of the mind in an electroencephalogram. Our purpose of the project is to design a smart preprocessing tool that preprocesses these Bio-medical signals as well as does extraction of the features.

Autorentext

I, Prof. Mayur Sevak, have completed my B.E in Electronics Engineering from Birla Vishvakarma Mahavidyalaya, S.P. University and completed M.E in Communication Engineering from G.H. Patel College of Engineering, Gujarat Technological University. I am pursuing my Ph.D from Gujarat Technological University.