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9 articles for “electrocardiography”
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Microcontroller based Electrocardiography System with Adaptive Baseline Wander Removal
Abstract: In this paper an affordable, user-friendly, and re-programmable electrocardiography system is presented. The proposed system is based on open-source Arduino/Genuino platform which can be re-programmed and up-graded as per the requirement of the end user. This system has the facility to display, store and share the acquired data via internet with a cardiologist, for the remote assistance. The proposed system is equipped with an adaptive median filter based baseline wander …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 29–34 Read article
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Evaluation of OTA Amplifier Using EEG Signals
Abstract: AbstractOver the last few years, there has been a tremendous exploration in VLSI industries in response to scaling trends towards deep submicron technology. Demand for low power and efficient amplification are rising in day-to-day life. In the process of scaling the CMOS nanometer demand low supply, which is helped to design digital circuit realization at very low power consumption. But it is not valid for analog circuit realization. The related …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 5–14 Read article
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A Study on the Incidence and Prevalence of Cardiovascular Morbidity and Mortality in Patients Undergoing Maintenance Hemodialysis
Abstract: Cardiovascular Disease (CVD) is a major complication for patients with end-stage renal disease (ESRD) on Hemodialysis (HD), with the mortality rate from CVD being nearly 20 times higher than in the general population. As Chronic Kidney Disease (CKD) advances, patients accumulate both traditional and kidney-specific cardiovascular risk factors, such as hypertension, diabetes, fluid overload, electrolyte imbalances, and uremic toxins. These factors contribute significantly to the increased cardiovascular morbidity and mortality …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 56–66 Read article
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Systolic-Predominant Hypertension and the Aging Heart: A Cross-Sectional Study on LVH and Cardiovascular Riskss
Abstract: Background: Systolic-predominant hypertension, defined as a systolic blood pressure ≥140 mm Hg with diastolic pressure <90 mm Hg, is the most prevalent form of hypertension in the elderly. It arises primarily due to age-related arterial stiffening and baroreceptor dysfunction. Once considered a benign outcome of aging, systolic-predominant hypertension is now recognized as a major risk factor for cardiovascular morbidity and mortality. Aim and Objective: To evaluate the cardiac status and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 13–24 Read article
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P- and T-wave Characterization in the Presence of U-wave in Electrocardiogram
Abstract: AbstractEven after being noticed around a century ago the U-wave has not been studied much as compared to the other waveforms of the electrocardiogram (ECG). In this proposed work the effect of presence of U-wave on morphology of P-waves and T-waves has been studied. Characteristics of P-waves and T-waves from ECG beats with an U-wave has been compared with the P-waves and T-waves from ECG beat with an U-wave. Arithmetic …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 30–34 Read article
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ECG System based on ATMEGA 16 Microcontroller
Abstract: AbstractOur paper describes the electrocardiography (ECG) monitoring system based on ATMEGA 16 microcontroller. To detect R-peak detection and heart rate monitoring, the authors used ATMEGA 16 microcontroller with inbuilt analog-to-digital (ADC). Our device is low cost and portable, so that it can help in home monitoring of ECG data. The basic aim of our roject is the detection of abnormality or emergency condition, before they prove to be dangerous. ECG …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 11–15 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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Performance Analysis of FIR Digital Filter using Artificial Neural Network for ECG Signal
Abstract: AbstractIn performance of electrocardiography (ECG) signal, signal acquisition must be noise free. This paper deals with the application of the digital finite impulse response (FIR) filter on the raw ECG signal. In this paper different window techniques used to design FIR filter and their signal to noise ratio are compared. The dataset configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 28–32 Read article
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A Comprehensive Review: Personalized Treatment Strategies in Stable Ischemic Heart Disease
Abstract: Stable Ischemic Heart Disease (SIHD) is one of the leading cardiovascular disorders associated with high morbidity and mortality worldwide. Since early symptoms such as chest pain, fatigue, and shortness of breath are often non-specific and difficult to recognize, diagnosis becomes challenging, and many cases remain undetected until advanced stages or complications occur. Traditional diagnosis depends heavily on clinical evaluation, electrocardiography, stress testing, and imaging techniques. The development of improved treatment …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article