نوع مقاله: مقاله کامل پژوهشی

نویسندگان

1 استادیار، گروه مهندسی پزشکی، دانشگاه آزاد اسلامی، واحد دزفول

2 استاد، گروه فیزیک پزشکی، دانشگاه تربیت مدرس

3 استادیار، گروه فیزیوتراپی، دانشگاه تربیت مدرس

10.22041/ijbme.2013.13052

چکیده

سیگنال‌های الکترومایوگرام (EMG) که از عضلات تنه، مانند عضله راست شکمی و عضله مایل خارجی، برداشت می‌شوند؛ غالباً تحت تأثیر فعالیت الکتریکی عضله قلب (ECG) قرار می‌گیرند. در این مقاله روشی جدید برای حذف تداخل ECG از EMG بر اساس تجزیه سیگنال به حالت تجربی معرفی شده است. روش پیشنهادی با روش فیلتر بالاگذرباترورث مقایسه شد و نتایج حاصل از تحلیل سیگنال‌های تداخل یافته مصنوعی و واقعی عملکرد بهتر الگوریتم پیشنهادی را برای حذف تداخل ECG ازEMG نشان داد. 

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Empirical mode decomposition-based elimination of Electrocardiogram artifact from Electromyogram signals

نویسندگان [English]

  • Mohsen Naji 1
  • Seyed Mohammad Firouzabadi 2
  • Sedighe Kahrizi 3

1 Assistant Professor, Department of Biomedical Engineering, Dezful Branch, Islamic Azad University,

2 Professor, Department of Medical Physics, Tarbiat Modares University

3 Assistant Professor, Department of Physical Therapy, Tarbiat Modares University

چکیده [English]

The collected electromyogram (EMG) signals from trunk musculature (e.g., rectus abdominis and external oblique muscle) are often contaminated with the heart muscle electrical activity (ECG). This paper introduces a novel method, the Empirical Mode Decomposition, for elimination of ECG contamination from EMG signals. The method is compared to a Butterworth high pass filtering. Results obtained from the analysis of generated and experimental EMG signals show that our method outperforms the high pass filtering for elimination of ECG contamination from trunk EMG signals.

کلیدواژه‌ها [English]

  • Surface Electromyogram
  • Empirical Mode Decomposition
  • Electrocardiogram

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