Reduced-lead electrocardiographic systems are currently a widely accepted medical technology used in a number of applications. They provide increased patient comfort and superior performance in arrhythmia and ST monitoring. These systems have unique and compelling advantages over the traditional multichannel monitoring lead systems. However, the design and development of reduced-lead systems create numerous technical challenges. This article summarizes the major technical challenges commonly encountered in lead reconstruction for reduced-lead systems. We discuss the effects of basis lead and target lead selections, the differences between interpolated vs extrapolated leads, the database dependency of the coefficients, and the approaches in quantitative performance evaluation, and provide a comparison of different lead systems. In conclusion, existing reduced-lead systems differ significantly in regard to trade-offs from the technical, practical, and clinical points of view. Understanding the technical limitations, the strengths, and the trade-offs of these reduced-lead systems will hopefully guide future research.
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http://dx.doi.org/10.1016/j.jelectrocard.2008.07.019 | DOI Listing |
Craniomaxillofac Trauma Reconstr
December 2024
Oral and Maxillofacial Surgery, 12 de Octubre University Hospital, Madrid, Spain.
Biomed Eng Lett
November 2024
Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039 India.
Synthesis of a 12-lead electrocardiogram from a reduced lead set has previously been extensively studied in order to meet patient comfort, minimise complexity, and enable telemonitoring. Traditional methods relied solely on the inter-lead correlation between the standard twelve leads for learning the models. The 12-lead ECG possesses not only inter-lead correlation but also intra-lead correlation.
View Article and Find Full Text PDFFront Physiol
October 2024
ITACA Institute, Universitat Politècnica de València, Valencia, Spain.
Background And Objectives: Accurate diagnosis of cardiovascular diseases often relies on the electrocardiogram (ECG). Since the cardiac vector is located within a three-dimensional space and the standard ECG comprises 12 projections or leads derived from it, redundant information is inherently present. This study aims to quantify this redundancy and its impact on classification tasks using Convolutional Neural Networks (CNNs) in cardiovascular diseases.
View Article and Find Full Text PDFPeerJ Comput Sci
July 2024
Bursa Technical University, Bursa, Turkey.
The enhancement of fabric quality prediction in the textile manufacturing sector is achieved by utilizing information derived from sensors within the Internet of Things (IoT) and Enterprise Resource Planning (ERP) systems linked to sensors embedded in textile machinery. The integration of Industry 4.0 concepts is instrumental in harnessing IoT sensor data, which, in turn, leads to improvements in productivity and reduced lead times in textile manufacturing processes.
View Article and Find Full Text PDFJ Electrocardiol
December 2023
Varisano Klinikum Bad Soden, Medizinische Klinik 1, Kronberger Straße 36, 65812 Bad Soden, Germany.
Introduction: His bundle pacing (HBP) has become popular in recent years as a more physiological alternative to conventional right ventricular pacing. Implantation requires 12‑lead ECG during surgery, which is not readily available in a standard operating room. Often but not always HBP is performed in an electrophysiology lab.
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