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首页> 外文会议>IEEE International Conference on Bioinformatics and Bioengineering >Automated Differentiation between Normal Sinus Rhythm, Atrial Tachycardia, Atrial Flutter and Atrial Fibrillation during Electrophysiology
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Automated Differentiation between Normal Sinus Rhythm, Atrial Tachycardia, Atrial Flutter and Atrial Fibrillation during Electrophysiology

机译：电生理过程中正常窦性心律，房性心动过速，房扑和房颤的自动区分

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Intracardiac Electrogram (IEGM) are examined during Cardiac Electrophysiology (EP) for detection, differentiation, analysis and treatment of different arrhythmias. The arrhythmia detection involves EP stimulation, observing IEGM response on monitor screens, and manual evaluation of IEGM key features. The process is time consuming and requires high level of expertise of Electro physiologists. During an EP stimulation process, a patient may develop Atrial Fibrillation (AF) and it is important for patient to be taken out of the AF before further proceeding with the procedure. It is required to automate the arrhythmia detection process during an EP study for real time monitoring of the patient condition and safety. In our previous work, successful detection of Atrio-Ventricular Reentrant Tachycardia and Atrio-Ventricular Nodal Re-entry Tachycardia was achieved in time domain. This work has been undertaken to automatically detect the AF as well as differentiate it from Atrial Flutter (AFL), Atrial Tachycardia (AT) and Normal Sinus Rhythm (NSR). In proposed work, non parametric technique has been applied on atrial IEGM signal for estimation of Dominant frequency (DF) to find out atrial activation rate during NSR, AT, AFL and AF. A new spectral parameter, Average Power Spectral Ratio (APSR), has been defined for ensuring reliability of DF for AF detection as well as differentiation of AF from other atrial arrhythmias. The proposed system successfully detects and differentiates between NSR, AT, AFL and AF with an accuracy of 99.52%. The proposed system can also be effectively used for additional therapeutic application by implantable cardioverter defibrillators.
机译：在心脏电生理学（EP）期间检查心内电描记图（IEGM），以检测，区分，分析和治疗不同的心律不齐。心律失常检测包括EP刺激，在监视器屏幕上观察IEGM响应以及手动评估IEGM关键功能。该过程很耗时，并且需要电生理学家的高水平专业知识。在EP刺激过程中，患者可能会发生心房颤动（AF），在进一步进行该程序之前将患者从AF中带出非常重要。在EP研究过程中需要自动执行心律失常检测过程，以实时监控患者的状况和安全性。在我们以前的工作中，在时域中成功检测出房室折返性心动过速和房室结折返性心动过速。已经进行了这项工作，以自动检测房颤并将其与房颤（AFL），房性心动过速（AT）和正常窦性心律（NSR）区别开来。在提出的工作中，非参数技术已应用于心房IEGM信号，以估计主导频率（DF），以找出NSR，AT，AFL和AF期间的心房激活率。定义了一个新的光谱参数，平均功率光谱比（APSR），以确保DF进行房颤检测的可靠性以及房颤与其他房性心律失常的区别。所提出的系统成功地检测并区分了NSR，AT，AFL和AF，其准确度为99.52％。所提出的系统还可以通过植入式心脏复律除颤器有效地用于其他治疗应用。

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