The aim of this project is to design a platform to optimally estimate blood pressure using live ECG (Electrocardiogram) and PPG (Photoplethysmogram) based on PTT (Pulse Transit Time) and wavelet transform and Nueral Network for accuracy. The proposed platform is expected to be user friendly and cost-effective compared to existing devices.
I am working on a project. I that i have to get blood pressure with the use of ECG and PPG. With the use of arduino uno and AD8232 And matlab and wavelet transform. I have to do tha NN for accuracy. check the research paper below
I got live ECG from human body using Arduino and AD8232 in MATLAB. Now I want to filter that ECG signal and find diseases from that signal. Disease should be detected from live ECG signal which is from human body with help of arduino uno and AD8232 using Neural network and discrete wavelet transform. check the file below.