Development of a New Home Healthcare System for Prediction of Sudden Cardiac Death

Abstract

Sudden cardiac death (SCD) is a condition in which the heart suddenly and unexpectedly stops beating. If this happens, blood stops flowing to the brain and other vital organs. SCD usually causes death if it's not treated within minutes. In the out-hospital patients it is difficult to diagnose the SCD by escorts to revive the patient’s, a new home healthcare system for prediction of sudden cardiac death was designed. Matlab simulation environment software was used for signal analysis. As the ECG signals are acquire from PhysioNet website, ECG signals are imported and passes through several processing steps. Noise was removed using bandpass filter, the fast Fourier transform was applied to extract the signal components. Then calculated and determine the power of ECG signals, classification tree was used to assess the ECG and the distinction between normal and risk of sudden cardiac death. The new system was found to be sensitive to predict a sudden death to save patients’ lives. Diagnostic sensitivity was determined by gold standard in the system up to 91.3%.