scholarly journals Performance Analysis of different filters for power line interface reduction in ECG signal

2010 ◽  
Vol 3 (7) ◽  
pp. 1-6 ◽  
Author(s):  
Yatindra Kumar ◽  
Gorav Kumar Malik
Keyword(s):  
Performance Analysis ◽  
Power Line ◽  
Ecg Signal ◽  
Interface Reduction

Performance analysis of power line communication in industrial power distribution network

2015 ◽  
Vol 42 ◽  
pp. 9-16 ◽  
Author(s):  
Stefano Rinaldi ◽  
Paolo Ferrari ◽  
Alessandra Flammini ◽  
Mattia Rizzi ◽  
Emiliano Sisinni ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Power Distribution ◽  
Distribution Network ◽  
Power Line ◽  
Power Line Communication ◽  
Power Distribution Network

Separation Enhancement of Power Line Noise from Human ECG Signal Based on Stone Technique

2019 ◽  
Vol 40 ◽  
pp. 71-78 ◽  
Author(s):  
Ahmed Kareem Abdullah ◽  
Ahmed Ghanim Wadday ◽  
Ali A. Abdullah
Keyword(s):  
Disease Diagnosis ◽  
Noise Signal ◽  
Power Line ◽  
Ecg Signal ◽  
Interference Signal ◽  
Blind Source Extraction ◽  
Novel Approach ◽  
Power Line Noise ◽  
Power Line Interference ◽  
Line Noise

The cardiac signal is very important for the heart disease diagnosis and evaluation. The noise cancelation represent one of the most preprocessing step in ECG signal processing, usually, this signal is very sensitive and varies with time. The ECG signal is mostly contaminated by different signals like Power line noise signal, Baseline signal and muscle signal. The power line interference signal is the most effected signal on the ECG during data recording. Several papers try to cancel the noise based on different ways and to extract the useful information. In this paper a novel approach based on stone blind source extraction is used to extract the pure ECG signal from raw ECG, the main advantage of the proposed approach compared with the classical technique is to separate all the useful information without filtering or cancelling the suitable data from the recording signal. Real ECG data from MIT-BIH databases is taken and the MATLAB program is used to evaluate the experimental results. The performance of the proposed approach is measured based on SNR and MSE. The main contribution of this paper is to use Stone blind source separation technique as a first time in ECG signal analysis and prove that this method is the best technique compared with conventional ways. The obtained result proves Stone BSS technique is very efficient to remove the power line noise.

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