On The Separation of EMG Signal from Recorded ECG Using Efficient Signal Processing Algorithms
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 708
متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CBCONF01_0971
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
In this paper, the efficient signal processing algorithms for separation of the EMG signal from the recorded ECG signals are discussed and their performance is compared. Starting from the adaptive algorithms and by means of the adaptive noise cancellation (ANC) principle, the goal is achieved successfully. Then, with the help of one of the effective algorithms of independent component analysis, which is based on the maximization of the fourth-order cumulant, the task is performed again. The simulation results confirm the correct behavior of the both approaches, while the mathematical equations and the final error of simulations depict that the ICA approach chosen outperforms the ANC approach because of its effectiveness in EMG signal estimation.
Keywords:
Authors
Sarkis Azizian
Electrical Engineering K.N. Toosi University of Technology Tehran, Iran
Abazar Arabameri
Electrical Engineering K.N. Toosi University of Technology Tehran, Iran
Farhad Faradji
Electrical Engineering K.N. Toosi University of Technology Tehran, Iran