Background And Objective: Prediction and classification of Ventricular Arrhythmias (VA) may allow clinicians sufficient time to intervene for stopping its escalation to Sudden Cardiac Death (SCD). This paper proposes a novel method for predicting VA and classifying its type, in particular, the fatal VA even before the event occurs.
Methods: A statistical index J based on the combination of phase-space reconstruction (PSR) and box counting has been used to predict VA. The fuzzy c-means (FCM) clustering technique is applied for the classification of impending VA.
Results: 32 healthy and 32 arrhythmic subjects from two open databases - PTB Diagnostic database (PTBDB) and CU Ventricular Tachyarrhythmia (CUDB) database respectively; were used to validate our proposed method. Our method showed average prediction time of approximately 5 min (4.97 min) for impending VA in the tested dataset while classifying four types of VA (VA without ventricular premature beats (VPBs), ventricular fibrillation (VF), ventricular tachycardia (VT), and VT followed by VF) with an average 4 min (approximately) before the VA onset, i.e., after 1 min of the prediction time point with average accuracy of 98.4%, a sensitivity of 97.5% and specificity of 99.1%.
Conclusions: The results obtained can be used in clinical practice after rigorous clinical trial to advance technologies such as implantable cardioverter defibrillator (ICD) that can help to preempt the occurrence of fatal ventricular arrhythmia - a main cause of SCD.
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http://dx.doi.org/10.1016/j.compbiomed.2021.105180 | DOI Listing |
Front Cell Infect Microbiol
December 2024
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Health Commission Key Laboratory for Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Introduction: This study, conducted in China prior to RotaTeq's launch, examined the epidemiological, molecular, and evolutionary features of the G1P[8] genotype RVA in children admitted with diarrhea, to aid in evaluating its efficacy and impact on G1P[8] RVA in China.
Methods: Data from the Chinese viral diarrhea surveillance network were collected from January 2016 to December 2018. RVA strains identified as the G1P[8] genotype were subjected to whole-genome sequencing.
Intell Based Med
July 2024
School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA.
Objective: The paper aims to address the problem of massive unlabeled patients in electronic health records (EHR) who potentially have undiagnosed diabetic retinopathy (DR). It is desired to estimate the actual DR prevalence in EHR with 96 % missing labels.
Materials And Methods: The Cerner Health Facts data are used in the study, with 3749 labeled DR patients and 97,876 unlabeled diabetic patients.
Front Genet
December 2024
Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Background: Ulcerative colitis has a serious impact on the quality of life of patients and is more likely to progress to colon cancer. Therefore, early diagnosis and timely intervention are of considerable importance.
Methods: Gene expression data of active ulcerative colitis were downloaded from the Gene Expression Omnibus (GEO) database, and genes with significant differential expression were identified.
ARYA Atheroscler
January 2024
General Practitioner, Pertamina Central Hospital, South Jakarta, Indonesia.
Carotid atherosclerosis disease assessment can predict the patient's risk of cardiovascular disease (CVD). The purpose of this review is to provide a comprehensive review of carotid atherosclerosis disease's pathophysiology, diagnostic evaluation, imaging applications, and treatment strategies. Carotid atherosclerosis is diagnosed using a variety of techniques, including transcranial Doppler imaging (TCD), computed tomography angiography (CTA), magnetic resonance angiography (MRA), and cerebral digital subtraction angiography (DSA), with duplex ultrasound (DUS) as the primary screening.
View Article and Find Full Text PDFInterv Neuroradiol
December 2024
Department of Neurological Surgery, UC San Diego Health, La Jolla, CA, USA.
Introduction: A scoring system to characterize the efficacy of middle meningeal artery (MMA) embolization is lacking and would help predict the likelihood of subdural hematoma resolution.
Methods: We developed a simple angiographic classification system ranging from 0 to 3 for quantifying MMA Patency After Coil Embolization (PACE) based residual flow distal to the embolization. MMA embolizations using coils at our institution were used to validate the PACE score system using procedural angiograms.
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