Pham, Manh Thang and Hoang, Van Manh and Dang, Anh Viet
(2019)
Enhancing the stress test ECG signal for real-time QRS detector.
In: The 5th International Conference on Engineering Mechanics and Automation, 11-12 October 2019, Hanoi.
(In Press)
Abstract
The Electrocardiogram (ECG) signal, which is a record of the electrical activity of the heart, can be
treated as a combination of a free-noise signal and noises. The primary source of interference in the ECG
recording during exercise is broadband myopotentials (EMG), contained in a full frequency band.
Because the frequency ranges of both signals (ECG and EMG) overlap, band-stop filters distort the ECG
signal, especially of QRS complexes. An alternative method of removing interference may be using
Adaptive Wavelet Wiener Filter (AWWF) with noise-free signal estimation. As a result of a
straightforward wavelet transform, it is possible to extract noise with some components of the QRS
complex in the highest frequency bands. The central part of the QRS components is in the lower
frequency bands. The resulting signal can be filtered by matching the transform coefficients. Testing was
performed on muscle (EMG) artifact noised signals from the MIT-BIH Noise Stress Test Database at 360
Hz sampling frequency.
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