基于心磁信号的关键算法研究进展

Research progress of key algorithm based on MCG signal

心磁图(MCG)仪是一种新型医疗技术,其临床诊断结果准确度与心磁信号数据分析算法紧密相关,关键算法主要包括心磁信号滤波算法、时空谱构建算法、基于逆向问题求解的偶极子模型算法和电流密度分布算法。针对上述算法的研究现状,分析MCG仪在心脏疾病筛查、早期诊断和治疗监测中独特的临床应用优势。

Magnetocardiography(MCG)is a new medical technology,the accuracy of the clinical diagnosis results is closely related to the data analysis algorithm of the MCG signal.The key algorithms mainly include filtering algorithm of the MCG signal,spatio-temporal spectrum construction algorithm,dipole model algorithm and current density distribution algorithm based on inverse problem solution.Aimed at the research status of above-mentioned algorithms,the unique advantages of clinical application of MCG in heart disease screening,early diagnosis and treatment monitoring are further analyzed.