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This study proposes an optimised algorithm to remove power line interference (PLI) from electrocardiogram (ECG) signal based on ensemble empirical mode decomposition (EEMD). A computationally efficient algorithm is one of the important requirements for real-time monitoring of cardio activities and diagnosis of arrhythmias. Computational complexity in EEMD is significantly reduced by using the EMD...
To eliminate interference within electrocardiogram signal (ECS) recorded under complicated Power Line (PL) circumstances, a novel algorithm is proposed. ECS is divided into two parts, linear segment and the nonlinear one. A new linear segment determination rule is presented, by which linear and non-linear segment can be distinguished within single PL period by using the symmetry of sinusoidal wave...
This paper addresses the suppression of the effects of the breathing signal from short duration oscillometric waveform (OMW) recordings to obtain improved blood pressure estimates. As the amplitude modulating effects due to the breathing signal are multiplicative in nature, homomorphic filtering is done on the OMW. An adaptive filtering methodology is adopted to suppress the breathing signal from...
An efficient method to extract noiseless Electrocardiogram (ECG) signal which is utilized for diagnostics purpose is presented. An adaptive neuro-fuzzy filtering which is basically a nonlinear system structure presented here for the noise cancellation of biomedical signals (like ECG, PPG etc) measured by ubiquitous wearable sensor node (USN node). This paper presents non-linear adaptive filter which...
ECG (electrocardiogram) is a test that measure electrical activity of heart. ECG is acquired from sensor situated on USN (ubiquitous sensor network) node. The measured ECG contains noise and motion artifact that need to be removed for proper diagnosis. Motion artifact is important noise to reduce because its frequency spectrum is overlap to ECG signal and causes misinterpretation while diagnosis....
A novel power-line interference (PLI) detection and suppression algorithm is proposed to pre-process real-time electrocardiogram (ECG) signals. This algorithm first compares the energy at the harmonic frequency against the energy at neighboring frequencies of the ECG power spectrum, and employs an optimal linear discriminant analysis (LDA) algorithm to determine whether PLI interference exists in...
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