کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
469389 698313 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A framework for the atrial fibrillation prediction in electrophysiological studies
ترجمه فارسی عنوان
چارچوب پیش بینی فیبریلاسیون دهلیزی در مطالعات الکتروفیزیولوژیک
کلمات کلیدی
فیبریلاسیون دهلیزی، سیگنال داخل قلب، تنش قلبی، پردازش سیگنال، الگوریتم پیش بینی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی


• HRV analysis, designed to work with R wave, also works on A-waves.
• pre-AFib signal portions are predictive of spontaneous AFib onset.
• An automatic device to alert the physician about an incoming AFib onset can be built.

Background and objectiveCardiac arrhythmias are disorders in terms of speed or rhythm in the heart's electrical system. Atrial fibrillation (AFib) is the most common sustained arrhythmia that affects a large number of persons. Electrophysiologic study (EPS) procedures are used to study fibrillation in patients; they consist of inducing a controlled fibrillation in surgical room to analyze electrical heart reactions or to decide for implanting medical devices (i.e., pacemaker). Nevertheless, the spontaneous induction may generate an undesired AFib, which may induce risk for patient and thus a critical issue for physicians. We study the unexpected AFib onset, aiming to identify signal patterns occurring in time interval preceding an event of spontaneous (i.e., not inducted) fibrillation. Profiling such signal patterns allowed to design and implement an AFib prediction algorithm able to early identify a spontaneous fibrillation. The objective is to increase the reliability of EPS procedures.MethodsWe gathered data signals collected by a General Electric Healthcare's CardioLab electrophysiology recording system (i.e., a polygraph). We extracted superficial and intracavitary cardiac signals regarding 50 different patients studied at the University Magna Graecia Cardiology Department. By studying waveform (i.e., amplitude and energy) of intracavitary signals before the onset of the arrhythmia, we were able to define patterns related to AFib onsets that are side effects of an inducted fibrillation.ResultsA framework for atrial fibrillation prediction during electrophysiological studies has been developed. It includes a prediction algorithm to alert an upcoming AFib onset. Tests have been performed on an intracavitary cardiac signals data set, related to patients studied in electrophysiological room. Also, results have been validated by the clinicians, proving that the framework can be useful in case of integration with the polygraph, helping physicians in managing and controlling of patient status during EPS.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 120, Issue 2, July 2015, Pages 65–76
نویسندگان
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