The Study on The Sudden Cardiac Arrest Prediction Model based on Wavelt Tansform and Adaboost Algorithm
LIU Guangda
WANG Yongxiang
CAI Jing
WANG Wei
LIU Zhongmin
Abstract：In order to predict cardiac arrest,wavelet transform and adaboost algorithm were used to establish the prediction model of cardiac arrest.First, wavelet transform was used to analyze and extract the characteristics value of normal sinus rhythm ECG and sudden cardiac arrest(SCA)ECG.Then the two datas were classified by adaboost to predict the incidence of SCA.Experiments verify that this model is effective in SCA prediction in the 5 min before SCA occurs,its prediction accuracy is 97.56%.It provides a valuable method for the prediction of cardiac arrest.
Keywords：Sudden cardiac arrestWavelet TransformAdaboostPredictFeature selection
Publication Date：2017-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：6( 95-100 )