SUPPORT VECTOR MACHINE FOR HUMAN IDENTIFICATION BASED ON NON-FIDUCIAL FEATURES OF THE ECG by HATEM ZEHIR, TOUFIK HAFS, SARA DAAS, AMINE NAIT-ALI

Subjects: “…biometrics, hidden biometrics, security, identification, ECG, machine learning, SVM…”
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Prediksi Detak Jantung Berbasis LSTM pada Raspberry Pi untuk Pemantauan Kesehatan Portabel by Ahmad Foresta Azhar Zen, Eko Sakti Pramukantoro, Kasyful Amron, Viera Wardhani, Putri Annisa Kamila

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A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection by Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang

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ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification by Mudassar Khalid, Charnchai Pluempitiwiriyawej, Abdulkadhem A. Abdulkadhem, Imran Afzal, Tien Truong

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Classification Algorithms in Automatic Diagnosis of ECG Arrhythmias: A Review by Haibo Sun, Dan Luo, Xin Niu, Xiaoxi Zeng, Bin Zheng, Hao Liu, Jingye Pan

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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

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Examining the Effects of Different Exertion Levels and Reference Standards on the Diagnostic Accuracy of Exercise ECG for Detecting Coronary Artery Disease — A Pilot Study by Julius Heimann, Thomas Schramm, Martin Grauduszus, Christine Joisten

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A pilot study on the effects of olfactory stimulation with white musk aromatic oil on psychophysiological activity: a crossover study by Fadilla Zennifa, Taisuke Nakashima, Yanli Xu, Saki Koshio, Erika Tomimatsu, Akiko Isa, Katsuya Satake, Fumi Kishida, Kuniyoshi Shimizu

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Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

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Patient-Specific Detection of Atrial Fibrillation in Segments of ECG Signals using Deep Neural Networks by Jeyson A. Castillo, Yenny C. Granados, Carlos Augusto Fajardo Ariza

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A New Self-Made 16-Channel Capacitive Electrocardiography System: An Investigation and Validation for Non-Contact Electrodes by Jinru Yang, Tianjun Wang, Haipo Cui, Limin Sun

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Cardiovascular Disease Screening in Primary School Children by Alena Bagkaki, Fragiskos Parthenakis, Gregory Chlouverakis, Emmanouil Galanakis, Ioannis Germanakis

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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

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NOVEL MULTI-MODAL OBSTRUCTION MODULE FOR DIABETES MELLITUS CLASSIFICATION USING EXPLAINABLE MACHINE LEARNING by Reehana SHAIK, Ibrahim SIDDIQUE

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Examining the Specificity of Smartphone ECG Devices in Decision-Making for ST-Elevation Myocardial Infarction and Non-ST-Elevation Myocardial Infarction by Sahil mahajan, Salil Garg, Yogendra Singh, richa sharma, Tanuj Bhatia, nitin chandola, deeksha agarwal

Subjects: “…Digital health, Electrocardiography, mHealth, Ischemia, Smartphone ECG, ST elevation myocardial infarction…”
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Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals by Maria Gragnaniello, Vincenzo Romano Marrazzo, Alessandro Borghese, Luca Maresca, Giovanni Breglio, Michele Riccio

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Comparison of Medical Treatments According to the Characteristics of Idiopathic Premature Ventricular Contractions: Beta-blockers or Calcium Channel Blockers? by Omer Faruk BAYCAN, Serdar FIDAN, Fatma Betul CELIK, Mustafa Adem TATLISU, Serhan OZYILDIRIM, Mustafa CALISKAN

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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

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Recognition of biosignals with nonlinear properties by approximate entropy parameters by L.A. Manilo, A.P. Nemirko

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The Effects of 30% Oxygen Concentration Inhalation on Driving Fatigue and Heart Rate Variability by Byung Chan Min, Kazuyuki Mito, Sang Kon Lee, Seoung Chul Kim, Jeong Han Kim, Seung Hee Hong

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