scholarly journals Area-Efficient Decimation Filter with 50/60Hz Power-Line Noise Suppression for ΔΣ A/D Converters

2017 ◽  
Vol 10 (3) ◽  
pp. 165-169 ◽  
Author(s):  
Hideki KURIBAYASHI ◽  
Tetsuya KAJITA
Keyword(s):  
Noise Suppression ◽  
Power Line ◽  
Delta Sigma ◽  
Decimation Filter ◽  
Power Line Noise ◽  
Line Noise ◽  
Area Efficient

scholarly journals Performance Evaluation of Wavelet De-Noising Schemes for Suppression of Power Line Noise in Electrocardiogram Signals

2021 ◽  
Vol 18 (2) ◽  
pp. 144-151
Author(s):  
Y. K. Ahmed ◽  
A.R. Zubair
Keyword(s):  
Noise Suppression ◽  
Power Line ◽  
Biomedical Signal Processing ◽  
Wavelet Domain ◽  
Ecg Signals ◽  
Shrinkage Function ◽  
Electrocardiogram Signals ◽  
Power Line Noise ◽  
Power Line Interference ◽  
Line Noise

Power line noise introduces distortions to recorded electrocardiogram (ECG) signals. These distortions compromise the integrity and negatively affect the interpretation of the ECG signals. Despite the fact that the amplifiers used in biomedical signal processing have high common mode rejection ratio (CMRR), ECG recordings are still often corrupted with residual Power Line Interference (PLI) noise. Further improvement in the hardware solutions do not have significant achievements in PLI noise suppression but rather introduce other adverse effects. Software approach is necessary to refine ECG data. Evaluation of PLI noise suppression in ECG signal in the wavelet domain is presented. The performance of the Hard Threshold Shrinkage Function (HTSF), the Soft Threshold Shrinkage Function (STSF), the Hyperbola Threshold Shrinkage Function (HYTSF), the Garrote Threshold Shrinkage Function (GTSF), and the Modified Garrote Threshold Shrinkage Function (MGTSF) for the suppression of PLI noise are evaluated and compared with the aid of an algorithm. The optimum tuning constant for the Modified Garrote Threshold Shrinkage Function (MGTSF) is found to be 1.18 for PLI noise. GTSF is found to have best performance closely followed by MGTSF in term of filtering Gain. HTSF recorded the lowest Gain. Filtering against PLI noise in the wavelet domain preserves the key features of the signal such as the QRS complex.

scholarly journals Two-Electrode ECG for Ambulatory Monitoring with Minimal Hardware Complexity

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2386
Author(s):  
Branko Babusiak ◽  
Stefan Borik ◽  
Maros Smondrk
Keyword(s):  
Noise Suppression ◽  
Sampling Rate ◽  
Ambulatory Monitoring ◽  
Power Line ◽  
Hardware Complexity ◽  
Noise Current ◽  
Current Consumption ◽  
Power Line Noise ◽  
Minimal Hardware ◽  
Line Noise

This article introduces a two-electrode ground-free electrocardiogram (ECG) with minimal hardware complexity, which is ideal for wearable battery-powered devices. The main issue of ground-free measurements is the presence of noise. Therefore, noise suppression methods that can be employed for a two-electrode ECG acquisition system are discussed in detail. Experimental measurements of a living subject and patient simulator are used to investigate and compare the performance of the three proposed methods utilizing the ADS1191 analogue front-end for biopotential measurements. The resulting signals recorded for the simulator indicate that all three methods should be suitable for suppressing power-line noise. The Power Spectral Density (PSD) of the signals measured for a subject exhibits differences across methods; the signal power at 50 Hz is −28, −24.8, and −26 dB for the first, second, and third method, respectively. The digital postprocessing of measured signals acquired a high-quality ECG signal comparable to that of three-electrode sensing. The current consumption measurements demonstrate that all proposed two-electrode ECG solutions are appropriate as a battery-powered device (current consumption < 1.5 mA; sampling rate of 500 SPS). The first method, according to the results, is considered the most effective method in the suppression of power-line noise, current consumption, and hardware complexity.

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 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 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
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