학술논문

Detailed Performance Analysis of Recognition Algorithm Based on Spectrum Feature Parameters for Electrocardiogram
Document Type
Conference
Source
2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS) Signal Processing and Communication Systems (ICSPCS), 2019 13th International Conference on. :1-6 Dec, 2019
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Electrocardiography
Feature extraction
Cardiac arrest
Defibrillation
Wavelet transforms
recognition algorithm
detailed performance analysis
spectrum feature parameters
wavelet transform
Language
Abstract
Early defibrillation plays very important role to survive patients suffering from sudden cardiac arrest. Thus, there are lots of recognition algorithms for electrocardiogram, and we have also proposed recognition algorithms based on spectrum feature parameters of electrocardiograms (ECGs). In this paper, we show the detailed analysis result of our recognition algorithm, and in particular the degree of similarity between Ventricular Tachycardia (VF) and PEA (Pulseless Electrical Activity) is evaluated.