基于T波电交替检测的心源性猝死预警方法研究

心源性猝死因发病突然、进展迅速而难以及时治疗，且死亡率很高，我国是心源性猝死高发地区，每年致死人数高居全球各国之首；因而如何早发现、早预警和早诊断已成为当前人类与医学领域所面临的最大挑战之一。而采用T波电交替则是目前国际公认的能有效预测心源性猝死的独立、无创且具有统计意义的核心技术。为此，本项目将结合人体心脏电活动的电生理和动力学本质特性，从故障诊断角度，开展针对T波电交替检测及心源性猝死预警问题的如下研究：基于先进滤波和学习理论的系统电活动动力学建模、辨识及特征提取，基于分岔和结构稳定理论的异常电活动过程的动力学机理建模，动态模式识别机制下的T波电交替检测和心源性猝死预警，针对虚拟心脏模型和临床数据的仿真验证。重点解决心脏电活动系统内在动力学特性的提取，动力学特征与系统稳定性量化关系的建立，快速准确的T波电交替检测等关键问题。研究成果的应用可为猝死的早期诊断提供新思路和临床辅助诊断依据。

Because of the sudden onset and rapid progress, it is difficult to treat the sudden cardiac death in time, which results in high mortality rate. Since China is in a high incidence of sudden cardiac death and the number of death ranks first in the world every year, its early detection and early diagnosis become one of the biggest challenges facing humanity and medicine in this century. At present, T-wave alternans (TWA) has been recognized as an independent, noninvasive and statistically significant core technology of effective prediction of sudden cardiac death. Then, this project will combine the electrophysiological mechanism and dynamic characteristics of human cardiac electrical activity to carry out the following investigations on the detection of T-wave alternans and the early warning of sudden cardiac death from the viewpoint of fault detection: the modeling, identification and feature extraction of the electrical activity system of the heart dynamics based on the advanced filtering algorithm and the learning theory, the dynamic mechanism modeling and analyzing of the abnormal electric activity based on bifurcation and structural stability theory, the early warning of sudden cardiac death and detecting of T-wave alternans under the mechanism of dynamical pattern recognition, and the simulation verification based on virtual heart model and the clinical data. The key to the project is to extract the intrinsic dynamics of the cardiac electrical activity process, establish the quantitative relationship between the dynamic information and the stability of the electrical activity process, and quickly and accurately detect the T wave alternans. The objective of this study is to establish a new idea for the early diagnosis of sudden death and to provide a basis for the diagnosis of sudden death by investigating the mechanism of sudden cardiac death and the establishment of a new method of T-wave alternating detection.