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23 articles for “signal extraction”
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Research ArticleOpen accessPhrase in the titleBio-Potential Signal Extraction from Multi-Channel Paper Recorded ChartsAli S.A. Al-MejradProblem Statement: Almost all of the modern biomedical equipments that record the biopotential actions have digital output but the paper chart records are a must. The volume of these records is significant and increasing rapidly. Keeping a bio-signal chart of a patient make it easy for quick assessment but still create problems in the essence of data storage, archiving , … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 7,106 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 keywordsDetection and Diagnostic Approach of COVID-19 Based on Cough Sound AnalysisMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Awni Ismail Sultan et al.Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients’ cough. Accordingly, real samples were … …Journal of Computer Science, Vol. 17, Issue 6 · 29 Jun 2021 · 7,803 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDFCite
Review ArticleOpen accessIn the abstractBM3D Outperforms Major Benchmarks in Denoising: An Argument in FavorBhawna Goyal, Ayush Dogra, Apoorav Maulik SharmaThe inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis. There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details. At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,577 accessesView PDFCite
Review ArticleOpen accessIn the abstractSignal Domain in Respiratory Sound Analysis: Methods, Application and Future DevelopmentAchmad Rizal, Risanuri Hidayat, Hanung Adi NugrohoThe development of digital signal processing technology encourages researchers to develop better methods for automatic lungs sound recognition system than the existing ones. Lung sounds were originally assessed manually according to doctor's expertise. Signal processing techniques are intended to reduce subjectivity factor. Signal processing techniques for lung sound recognition are developed by researchers based on their point of view to … …Journal of Computer Science, Vol. 11, Issue 10 · 2 Jan 2016 · 8,840 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractEVENT-RELATED POTENTIALS EXTRACTION OF WORKING MEMORY USING WAVELET ALGORITHMSitiZubaidahMohd Tumari, Rubita Sudirman, Abdul Hamid AhmadThis study was designed to classify and determine the Event-Related Potentials (ERPs) signal pattern of normal children on visual response. Thirty-eight children aged between 10 to 12 years old were subjected to a two-phase computer-based assessment while their working memory activity was recorded using a Neurofax-EEG 9200 machine. For children, it is anticipated that some information can be lost when … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,801 accessesView PDFCite
Research ArticleOpen accessIn the abstractSecond-Order Statistical Approach for Digital Modulation Scheme Classification in Cognitive Radio Using Support Vector Machine and K-Nearest Neighbor ClassifierS. Ravi, R. KannanCognitive radio systems require detection of different signals for communication. In this study, an approach for multiclass signal classification based on second-order statistical feature is proposed. The proposed system is designed to recognize three different digital modulation schemes such as PAM, 32QAM and 64QAM. The signal classification is achieved by extracting the 2nd order cumulants of the real and imaginary … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 6,732 accessesView PDFCite