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21 results for “Electrocardiogram”
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Research ArticleOpen accessEvery word in the titleA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFetal Electrocardiogram Extraction Using Let TechniquesS. Hemajothi, K. Helen PrabhaFetal Electrocardiogram Extraction (FECG) identifies the congenital heart problems at the earlier stage. The major problem in the non invasive procedure is the extraction of FECG from Maternal ECG (MECG) and many interferences. The proposed methods (i) Combination of Adaptive Neuro Fuzzy Inference (ANFIS) and Fractional spline wavelet (ii) Combination of Fractional spline wavelet and ANFIS (iii) Combination of ANFIS … …Journal of Computer Science, Vol. 8, Issue 9 · 16 Aug 2012 · 7,311 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Technique for Extraction Foetal Electrocardiogram using Adaptive Filtering and Simple Genetic AlgorithmMahmoud Ahmed Suliman Ali, XiaoPing ZengProblem statement: Foetal electrocardiogram (FECG) was the best method used to diagnose Foetal heart problem. Knowledge of the foetal heart signal prevents Foetal problems in the earlier stage. Recently, there has been a growing interest in noninvasive method rather than the old invasive method which was more risky for the mother's health. The most significant problem in noninvasive method is … …Current Research in Biostatistics, Vol. 1, Issue 2 · 31 Dec 2010 · 10,407 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleElectrophysiology and Biopotential Issues on Human Electrocardiogram: A ReviewMahmoud Ahmed Suliman Ali, Xiao Ping Zeng, Guo Jun LiProblem statement: The heart is the first organ and most importantly to form in the body, where is found the most powerful generator of electromagnetic energy in the human body. Electrophysiology was the best method used to diagnose human heart problem. Knowledge of the electrical potentials in human heart was a quantum leap in the science of the human heart. … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,868 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Method for Fetal Electrocardiogram Extraction from the Abdominal Electrocardiogram SignalMuhammad Asraful Hasan, Muhammad Ibn Ibrahimy, Mamun Bin Ibn ReazProblem statement: FECG (Fetal Electrocardiogram) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labor. Approach: Conventional techniques were often unable to achieve the extraction of FECG from the Abdominal ECG (AECG) in satisfactorily level. A new methodology by combining the Artificial Neural Network (ANN) and Correlation (ANNC) approach had … …Journal of Computer Science, Vol. 5, Issue 9 · 30 Sep 2009 · 7,353 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClimate Change-An Unprecedented Challenge for Humankind Survival; Energy Exploitation from the Atmospheric Electrical CircuitGiovanni Pietro Gregori, Bruce Allen LeybourneA more detailed summary is given in the last part (1/4th) of the Introduction. An anomalous period is in progress, characterized by a very intense release of endogenous energy from the Earth. The cause is an ongoing heartbeat of the Earth’s electrocardiogram. Humankind’s history spans a much shorter duration. Hence, at present the humans are going to face an unprecedented … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 2 Nov 2021 · 6,450 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA LIGHT-WEIGHT CRYPTOGRAPHY ANALYSIS FOR WIRELESS BASED HEALTHCARE APPLICATIONSS. Sangari, Martin Leo ManickamPatient health monitoring devices are flexible. Powerful ECG acquisition system is used at anytime and anywhere in the patient monitoring system. The increasing feasibility and convenience of mobile healthcare has already introduced several significant challenges in hospitals, healthcare providers, policy makers and patients. This study provides adaptive humming bird algorithm of light weight cryptography. This method has higher level of … …Journal of Computer Science, Vol. 10, Issue 10 · 28 Jun 2014 · 6,893 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCardioprotective Effect of Lagenaria siceraria (Molina) Standley (Cucurbitaceae) Fruit Juice on Doxorubicin Induced Cardiotoxicity in RatsM. Hassanpour Fard, G. Naseh, S. L. Bodhankar, M. DikshitProblem statement: The cardio toxicity of Doxorubicin (Dox) has limited its use as an anticancer drug. The aim of present study was to investigate the cardio protective effect of Lagenaria Siceraria (Cucurbitaceous) Fruit Juice (LSFJ) against the cardio toxicity of Dox in rats. Approach: Male wistar rats (250-300 g) were randomly divided into four groups. Group I- was control, Group … …American Journal of Pharmacology and Toxicology, Vol. 5, Issue 2 · 30 Jun 2010 · 8,510 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Ventricular Late Potential Classification System Using Ant Colony OptimizationA. Sankara Subramanian, G. Gurusamy, G. SelvakumarProblem statement: Ventricular Late Potentials (VLPs) are low-level high frequency signals that are usually found within the terminal part of the QRS complex from patients after myocardial infarction. Patients with VLPs are at risk of developing ventricular tachycardia, which is the major cause of death if patients suffering from heart disease. Approach: Discrete Wavelet Transform was used to detect VLPs … …Journal of Computer Science, Vol. 8, Issue 2 · 30 Nov 2011 · 6,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 accessesView PDFCite