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An interactive computerized system for recognition of sinus rhythm and pacing responses in development of tachycardia detection algorithms for ICDs

机译:用于开发ICD的心动过速检测算法中的窦性心律和起搏反应识别的交互式计算机系统

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Currently available implantable cardioverter/defibrillators (ICDs) cannot effectively differentiate between supraventricular tachycardia and ventricular tachyarrhythmia. This limitation can cause inappropriate delivery of electrical shocks to patients implanted with these devices. One very promising approach for overcoming this problem relies on atrioventricular interval analysis with intracardiac leads for sensing both atrial and ventricular electrical activity. The assessment of such an approach, as performed in patients undergoing intracardiac electrophysiology study in the authors' clinic laboratory, results in vast amounts of digitized data. Thus, an interactive computerized system was designed for editing, managing and processing these data. During the test procedure, four channels of cardiac activity (two intracardiac and two ECG leads) were digitized in real time and stored onto hard disk. Software called FAST-Edit (Find-Adjust-Snip-and-Tag) was designed to perform data processing using machine recognition and operator inspection. FAST-Edit has proven to be a very useful cost effective tool in the authors' development of new tachycardia detection algorithms for future generation ICDs. Further, its simplicity allows for ready modification to fit other requirements and applications.
机译:目前可用的可植入式心脏/除颤器(ICDS)不能有效地区分Supraventricular carcarcardia和心室性心律失常。这种限制可能导致植入这些设备的患者不恰当地递送电击。一种非常有前途的克服这个问题的方法依赖于对心房引入感测心房和心室电活动的情况下的房室间隔分析。对这种方法进行评估,如在作者临床实验室中接受心理神经学研究的患者中进行的,导致大量的数字化数据。因此,互动计算机化系统被设计用于编辑,管理和处理这些数据。在测试过程中,实时数字化并将四种心脏活动(两个心内和两个ECG引线)进行了数字化并将其存储在硬盘上。旨在使用机器识别和操作员检查执行数据处理的软件。快速编辑已被证明是作者对未来一代ICD的新动力卡达亚检测算法的发展中具有非常有用的成本效益工具。此外,其简单性允许准备好修改以适应其他要求和应用。

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