scholarly journals Separation of power-line noise from tinnitus sound, to aid medical diagnoses

2016 ◽  
Vol 8 ◽  
pp. 7-9
Author(s):  
J. Dhoulath Beegum ◽  
D. Chithraprasad ◽  
Alan Jacob ◽  
D.S. Ananthakrishnan ◽  
Gayatri Nair ◽  
...  
Keyword(s):  
Power Line ◽  
Medical Diagnoses ◽  
Power Line Noise ◽  
Line Noise

scholarly journals Common-Mode Voltage Reduction in Capacitive Sensing of Biosignal Using Capacitive Grounding and DRL Electrode

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2568
Author(s):  
Tadeas Bednar ◽  
Branko Babusiak ◽  
Michal Labuda ◽  
Milan Smetana ◽  
Stefan Borik
Keyword(s):  
Noise Removal ◽  
Power Line ◽  
Measured Signal ◽  
Common Mode ◽  
Line Frequency ◽  
Electrode Area ◽  
Common Mode Voltage ◽  
Grounding Electrode ◽  
Power Line Noise ◽  
Line Noise

A capacitive measurement of the biosignals is a very comfortable and unobtrusive way suitable for long-term and wearable monitoring of health conditions. This type of sensing is very susceptible to noise from the surroundings. One of the main noise sources is power-line noise, which acts as a common-mode voltage at the input terminals of the acquisition unit. The origin and methods of noise reduction are described on electric models. Two methods of noise removal are modeled and experimentally verified in the paper. The first method uses a passive capacitive grounding electrode, and the second uses an active capacitive Driven Right Leg (DRL) electrode. The effect of grounding electrode size on noise suppression is experimentally investigated. The increasing electrode area reduces power-line noise: the power of power-line frequency within the measured signal is 70.96 dB, 59.13 dB, and 43.44 dB for a grounding electrode area of 1650 cm2, 3300 cm2, and 4950 cm2, respectively. The capacitive DRL electrode shows better efficiency in common-mode noise rejection than the grounding electrode. When using an electrode area of 1650 cm2, the DRL achieved 46.3 dB better attenuation than the grounding electrode at power-line frequency. In contrast to the grounding electrode, the DRL electrode reduces a capacitive measurement system’s financial costs due to the smaller electrode area made of the costly conductive textile.

scholarly journals Modelling and comparison for low-voltage broadband power line noise using LS-SVM and wavelet neural networks

2019 ◽  
Vol 13 (2) ◽  
pp. 171-178
Author(s):  
Xiongwen Zhao ◽  
Hui Zhang ◽  
Liang Li ◽  
Wenbing Lu ◽  
Yi Ding ◽  
...  
Keyword(s):  
Neural Networks ◽  
Low Voltage ◽  
Power Line ◽  
Wavelet Neural Networks ◽  
Power Line Noise ◽  
Line Noise

Analysis of the Indoor Broadband Power-Line Noise Scenario

2010 ◽  
Vol 52 (4) ◽  
pp. 849-858 ◽  
Author(s):  
Jose Antonio Cortes ◽  
Luis Diez ◽  
Francisco Javier Canete ◽  
Juan Jose Sanchez-Martinez
Keyword(s):  
Power Line ◽  
Power Line Noise ◽  
Line Noise

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.

Power Line Noise Survey

1972 ◽  
Vol EMC-14 (1) ◽  
pp. 31-32 ◽  
Author(s):  
Albert A. Smith
Keyword(s):  
Power Line ◽  
Power Line Noise ◽  
Line Noise

scholarly journals Energy Harvesting of Magnetic Power-Line Noise

2011 ◽  
Vol 47 (10) ◽  
pp. 4441-4444 ◽  
Author(s):  
K. Tashiro ◽  
H. Wakiwaka ◽  
S. Inoue ◽  
Y. Uchiyama
Keyword(s):  
Energy Harvesting ◽  
Power Line ◽  
Power Line Noise ◽  
Line Noise
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