Steep slope method for real time QRS detection

نویسندگان

  • Ivaylo I. Christov
  • Todor V. Stoyanov
چکیده

A method for real time QRS detection by assessment of the signal steep slopes is proposed. It is based on comparison of the absolute value abs(D) of the differentiated electrocardiogram (ECG) to a varying threshold value. The method is independent of threshold and weighting constant. It is adaptive and self-synchronized to the steep slope of the QRS, regardless of the amplitude and the sampling frequency of the record. It is tested with the American Heart Association (AHA) and Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) database. The test was performed and confirmed for more than 100 h of ECG recordings, equivalent to about 450000 heartbeats, at an assumed rate of 75 beats per minute. The method shows very satisfactory results, without the need of applying filtration of power-line interference and baseline wander. However, a fast moving average filtering is applied on the differentiated ECG for electromyogram for noise reduction. Детекция на QRS комплекси в реално време c метод на стръмните наклони. Предложен е метод основан на сравнение между абсолютната стойност abs(D) на диференцираната електрокардиограма (ECG) и праг с променливо ниво. Методът е адаптивен, независим от предварително фиксирани прагове и константи и се синхронизира самостоятелно към стръмността на QRS комплексите и честотата на дискретизация на ECG. Тестван е с базите записи на American Hearth Association (AHA) и Massachusetts Institute of Technology Beth Israel Hospital (MITBIH). Изследвани са повече от 100 часа ECG записи, което отговаря на около 450000 сърдечни удара при предполагаема честота от 75 удара за минута. Методът показа много добри резултати, без да има нужда от филтрация на мрежовите смущения и на дрейфа на нулевата линия. Все пак, бързо филтриране чрез пълзящо усредняване се прилага върху диференцираната ECG, за намаляване на шума от електромиографски сигнали.

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تاریخ انتشار 2005