Second-order IIR Notch Filter Design and implementation of digital signal processing system

Wang, Chun Mei; Xiao, Wei

doi:10.2991/isccca.2013.144

Cited by 14 publications

(4 citation statements)

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“…Due to the blinking artifact, the data was filtered with a high-pass 4-th order Butterworth filter, with the cut-off frequency of 4 Hz. The very first step involved baseline removal [ 49 ]. For this study’s purposes, various smoothing filters were applied at the initial stage in order to improve the quality of the analyzed data.…”

Section: Methodsmentioning

confidence: 99%

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

et al. 2021

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Off-the-shelf, consumer-grade EEG equipment is nowadays becoming the first-choice equipment for many scientists when it comes to recording brain waves for research purposes. On one hand, this is perfectly understandable due to its availability and relatively low cost (especially in comparison to some clinical-level EEG devices), but, on the other hand, quality of the recorded signals is gradually increasing and reaching levels that were offered just a few years ago by much more expensive devices used in medicine for diagnostic purposes. In many cases, a well-designed filter and/or a well-thought signal acquisition method improve the signal quality to the level that it becomes good enough to become subject of further analysis allowing to formulate some valid scientific theories and draw far-fetched conclusions related to human brain operation. In this paper, we propose a smoothing filter based upon the Savitzky–Golay filter for the purpose of EEG signal filtering. Additionally, we provide a summary and comparison of the applied filter to some other approaches to EEG data filtering. All the analyzed signals were acquired from subjects performing visually involving high-concentration tasks with audio stimuli using Emotiv EPOC Flex equipment.

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Section: Methodsmentioning

confidence: 99%

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

et al. 2021

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“…The distribution of the different frequencies is given in Table 1. Then, by reconstructing the signal at level 10, irrelevant components such as BW are removed [20]. The final result of applying the preprocessing techniques is shown in Figure 2a.…”

Section: Noise Reductionmentioning

confidence: 99%

Identification of myocardial infarction using morphological features of electrocardiogram and vectorcardiogram

Hafshejani

Mehridehnavi

Hajian

et al. 2021

IET Signal Processing

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Cardiac failure, such as myocardial infarction (MI), is one of the most serious causes of mortality worldwide. MI is the sign of cardiac cell damage as a result of decreased blood oxygen level, which causes some morphological changes in the form of 12-lead electrocardiogram (ECG) waves including T-wave, Q-wave, and ST-segment. The main goal of this study is to represent vectorcardiography (VCG) as a complementary diagnostic tool of the ECG method to discriminate the various type of MI from normal cases. The system proposed in this study was analysed on the Physikalisch-Technische Bundesanstalt diagnostic ECG database and a recorded signal database for 80 MI and 52 healthy cases. Each record consists of 15 ECG and VCG signals. In this study, tridimensional morphological features were applied to the classification and regression tree (CART) and the feedforward neural network classifier. To classify MI cases from healthy control cases of our recorded database, classification and regression tree achieved the same results when VCG features or ECG features were applied with an accuracy of 99.4%, a sensitivity of 100%, and a specificity of 98.7%. Further, by using VCG Octant features with this current method, anterior-MI and inferior-MI were separated with an accuracy of 98.9%, a sensitivity of 98%, and a specificity of 100%. The outcomes prove that the VCG features performed more accurately than ECG features in MI localisation. K E Y W O R D S classification and regression tree (CART), electrocardiogram (ECG), feedforward neural network (FFNN), morphological features, myocardial infarction (MI), vectorcardiogram (VCG)This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…The output from the current controller is output as a reference voltage for the AC/DC converter control in the input side and the output reference voltage generates the system frequency and synchronized command using an inverse coordinate conversion. In the various carrier-based pulse-width modulation (PWM), the converter uses sinusoidal PWM (SPWM), which is simple and provides good harmonic characteristics [12]. The output reference voltage is compared with a triangular carrier band to firing six different gating signals.…”

Section: Control Algorithmmentioning

confidence: 99%

High-Efficiency Bi-Directional Single-Phase AC/DC Converter Design and Field Application for LVDC Distribution

Kim

Cho

et al. 2019

Energies

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This paper describes the design and field application of a high-efficiency single-phase AC/DC converter that is suitable for distribution lines. First, an appropriate AC/DC converter was designed in consideration of the environment of the application system. In order to ensure high efficiency and high reliability, we designed an optimum switching element and capacitor suitable for the converter, and the protection element of the AC/DC converter was designed based on these elements. The control function for the power converter suitable for an LVDC distribution system is proposed for highly reliable operation. The AC/DC converter was manufactured based on the design and its performance was verified during application in an actual low-voltage DC (LVDC) distribution grid through tests at the demonstration site. The application to a DC distribution system in an actual grid is very rare and it is expected that it will contribute to the expansion of LVDC distribution. function of an AC/DC converter suitable for an LVDC distribution system is applied for highly reliable power supply when it is connected with the real system. The equipment is manufactured based on the design contents and a performance demonstration is carried out by constructing a system at an LVDC distribution site with the similar environment before being applied to in an actual distribution grid. The on-site demonstration is required to verify the performance of the protection behavior through load fluctuations and line fault simulations. We present the demonstration results from the AC/DC converter to a low-load and low-voltage long-distance DC distribution system. The case of applying the LVDC distribution system to an actual distribution grid is very rare in the world, and the developed power converter, which is applied to DC systems with high efficiency, single phase, and bi-directional power transmission, has differences in its design and performance compared to existing products. Therefore, this paper provides a guideline of design and manufacturing of SiC-MOSFET-based AC/DC converter for LVDC distribution system. It may contribute to related researchers and engineers by presenting various analyses and validation of the actual implementation in LVDC demonstration site. In addition, this paper presents the standard of the design and specifications for the power converter required for the power distribution system by analyzing the AC/DC converter's operation history and results.

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Second-order IIR Notch Filter Design and implementation of digital signal processing system

Cited by 14 publications

References 1 publication

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

Identification of myocardial infarction using morphological features of electrocardiogram and vectorcardiogram

High-Efficiency Bi-Directional Single-Phase AC/DC Converter Design and Field Application for LVDC Distribution

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