Abstract:
Patients with heart disease or undergoing therapy at home are in a desperate need of
detecting ECG signals under normal living conditions. However, normal ECG
detecting systems require electrode contacting with the human body, and it needs
medical and specialized staff, which makes it difficult for patients who need to do an
ECG periodically.
This project is concerned with the development of Ballistocardiogram (BCG)
which accurately represents the sudden flow of blood in the blood vessels in each
heartbeat, breathing, and movement of the body. detection and processing system
without attaching any electrodes to the patient for monitoring health statues. Where
the heart signal will be recorded when the person stands on a load cell platform and
monitor the heart rate by building a LabVIEW code using Hilbert and Fast Fourier
Transforms, extracting the results, and then verifying them using the MATLAB
program.
After applying Hilbert and Fast Fourier Transforms algorithm, showing the results
and verify
