Heart Rate Detection from Ballistocardiograph signal

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