Fully differential fifth-order dual-notch powerline interference filter oriented to EEG detection system with low pass feature

Alhammadi, Aisha A.; Mahmoud, Soliman A.

doi:10.1016/j.mejo.2016.08.014

Cited by 25 publications

(3 citation statements)

References 26 publications

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“…Although new techniques for EEG filtering are still emerging recently, the filtering technique is not important focus of BCI research. Shortcomings of digital filters are also reported in related studies (Alhammadi and Mahmoud, 2016).…”

Section: Introductionmentioning

confidence: 68%

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

et al. 2022

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Section: Introductionmentioning

confidence: 68%

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

et al. 2022

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“…To tackle 50Hz PLI and its three odd harmonics (150Hz, 250Hz, and 350Hz), Paul et al [21] propose a CCII± based filter, where CCIIs are designed using both the macro-model of IC AD844 and dynamic threshold-voltage metal oxide semiconductor (DTMOS) technology. A digitally programmable OTA-based filter is presented in the research [22] to minimize the impact of 50Hz PLI and its 3rd harmonics (150Hz).…”

Section: Introductionmentioning

confidence: 99%

Systematic Realization of VDGA-Based Comb Filter for Biomedical Signal Processing

Banarjee,

Pathak,

Sarkar

et al. 2024

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This research article presents the systematic development of a current-mode-based active comb filter designed to mitigate the undesirable PLI (power line interference) and its harmonics contaminating biomedical signals. The filter is designed using the latest currentmode Analog Building Block (ABB), specifically Voltage Differencing Gain Amplifiers (VDGA). This filter effectively suppresses the 50Hz PLI and reduces the odd consecutive harmonics of the 50Hz PLI, including the third harmonic at 150Hz, the fifth harmonic at 250Hz, and the seventh harmonic at 350Hz. In this design, we employ 'n' VDGAs as active components and '2n' capacitors as passive components to suppress 'n' frequencies. The active and passive components used in this filter are significantly fewer in number compared to similar filter designs in existing literature. Moreover, the filter can be electronically tuned for a specific pole frequency and quality factor value using the VDGA's bias currents. It's important to note that the pole frequency and the quality factor can be independently tuned owing to their orthogonal relationship. In simulation, the proposed filter demonstrates a notch depth of -42.9dB and a total harmonic distortion (THD) of -83dB, indicating its effectiveness in attenuating the pole frequency. The filter's design is simulated using a 0.18µm CMOS process technology and the macro-model of the MAX435 IC in the PSPICE simulator to validate its functionality and feasibility. Furthermore, a non-ideal analysis of the filter's performance has been conducted, considering real VDGAs exhibiting nonidealities such as transconductance gain errors and parasitics on their ports. Finally, the overall performance of this filter is compared based on various parameters, including the technology used, the number of active and passive components, supply voltage, the number of pole frequencies attenuated, notch depth, and THD, in comparison with existing comb and notch filters in the literature. The filter's performance and simplicity make it a promising choice in demanding biomedical detection systems.

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“…The impedance of an inductor has a direct relationship with the frequency where the value of the impedance increases as the frequency increases. Due to its relationship with the frequency and its series connection with the voltage source, the inductor will block high-frequency signals from passing through and will only accept low-frequency signals [7].…”

Section: Introductionmentioning

confidence: 99%

Development of Low Pass Filter Simulation Models

Don¹

2020

IJATCSE

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The research will discuss the topic of the low-pass filter. The scope of the research will encompass data obtained throughout the experiment of the researchers, sample graphs of a low-pass filter, theory and background present, and analysis of data and results. Besides, the research will also look into a software program called Multisim to observe the behavior of a low-pass filter more accurately. This topic was chosen as this is the type of filter that the researchers are most familiar with. Furthermore, this type of filter was used in many audio applications in which it can eliminate background noise, remove specific frequencies in data analysis, radio tuning, and many more. Hence, this type of filter becomes known as high-cut or treble cut filters. This familiarity is a result of each group member's prior experience and studies throughout the course.

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Fully differential fifth-order dual-notch powerline interference filter oriented to EEG detection system with low pass feature

Cited by 25 publications

References 26 publications

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

Potential of Overcomplete Wavelet Frame Expansion for Facilitating Electroencephalogram Information Mining

Systematic Realization of VDGA-Based Comb Filter for Biomedical Signal Processing

Development of Low Pass Filter Simulation Models

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