LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "cardiac arrhythmia" as a keyword



Advances in Conductive Nanomaterials for Cardiac Arrhythmia and Future Directions in Bioevaluation Strategies

Sign Up to like & get
recommendations! Published in 2025 at "Advanced Healthcare Materials"

DOI: 10.1002/adhm.202503686

Abstract: Cardiac arrhythmia (CA), characterized by irregular heart rhythms, affects nearly 90% of individuals with cardiovascular diseases. Commonly triggered by myocardial infarction (MI) or ion channel dysfunctions, CA is traditionally treated using pacemakers, cardioversion, ablation, and… read more here.

Keywords: conductive nanomaterials; advances conductive; arrhythmia future; nanomaterials cardiac ... See more keywords
Photo from wikipedia

Reduction in Cardiac Arrhythmias Within an Enhanced Recovery After Surgery Program in Colorectal Surgery

Sign Up to like & get
recommendations! Published in 2019 at "Journal of Gastrointestinal Surgery"

DOI: 10.1007/s11605-019-04298-7

Abstract: Background Enhanced recovery after surgery (ERAS) is a multimodal perioperative care pathway designed to achieve early recovery by preserving preoperative organ function and minimizing the stress response following surgery. Few studies have assessed the association… read more here.

Keywords: recovery; surgery; colorectal; postoperative cardiac ... See more keywords
Photo from archive.org

Synthetic Cannabinoids and Cardiac Arrhythmia Risk: Review of the Literature

Sign Up to like & get
recommendations! Published in 2019 at "Cardiovascular Toxicology"

DOI: 10.1007/s12012-019-09522-z

Abstract: Synthetic cannabinoids (SCBs) are widely used recreational substances especially among adults. Although they have been considered as safe during the marketing process, our knowledge about their adverse effects has evolved since years. SCBs are associated… read more here.

Keywords: arrhythmia; synthetic cannabinoids; arrhythmia risk; cannabinoids cardiac ... See more keywords
Photo from wikipedia

WWP2 and PPP1R3A are abnormally regulated in arrhythmia-induced cardiac damage

Sign Up to like & get
recommendations! Published in 2021 at "3 Biotech"

DOI: 10.1007/s13205-021-02719-6

Abstract: The present work aimed to identify the roles of WWP2 (an E3 ubiquitin-protein ligase) and protein phosphatase 1 regulatory subunit 3A (PPP1R3A) in different pathological stages of cardiac arrhythmia development. Leptin-deficient mice (C57BLKS-Leprdb/Leprdb) were used… read more here.

Keywords: arrhythmia; wwp2 ppp1r3a; cardiac arrhythmia; tissue ... See more keywords

An intelligent learning approach for improving ECG signal classification and arrhythmia analysis

Sign Up to like & get
recommendations! Published in 2020 at "Artificial intelligence in medicine"

DOI: 10.1016/j.artmed.2019.101788

Abstract: The recognition of cardiac arrhythmia in minimal time is important to prevent sudden and untimely deaths. The proposed work includes a complete framework for analyzing the Electrocardiogram (ECG) signal. The three phases of analysis include… read more here.

Keywords: arrhythmia; classification; learning approach; ecg signal ... See more keywords

An improved cardiac arrhythmia classification using an RR interval-based approach

Sign Up to like & get
recommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2021.04.004

Abstract: Abstract Accurate and early detection of cardiac arrhythmia present in an electrocardiogram (ECG) can prevent many premature deaths. Cardiac arrhythmia arises due to the improper conduction of electrical impulses throughout the heart. In this paper,… read more here.

Keywords: interval based; arrhythmia; arrhythmia classification; cardiac arrhythmia ... See more keywords
Photo from archive.org

Detection of Cardiac arrhythmia using fuzzy logic

Sign Up to like & get
recommendations! Published in 2019 at "Informatics in Medicine Unlocked"

DOI: 10.1016/j.imu.2019.100257

Abstract: Abstract Background There is recent increasing interest in physical fitness, and improvement in applications for this purpose have been standout amongst recent research efforts. An example of such a health application is the identification of… read more here.

Keywords: information; detection; arrhythmia using; detection cardiac ... See more keywords

A disproportionality analysis of cardiac arrhythmia associated with bisphosphonates based on the FAERS database

Sign Up to like & get
recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-00900-y

Abstract: The impact of bisphosphonates on cardiac arrhythmia has always been controversial. We aimed to evaluate the risk of bisphosphonates (BPs) on arrhythmia and to characterize the main features of BP-induced arrhythmia by data mining the… read more here.

Keywords: faers database; cardiac arrhythmias; disodium; arrhythmia ... See more keywords

Using mathematics to diagnose, cure, and predict cardiac arrhythmia.

Sign Up to like & get
recommendations! Published in 2020 at "Chaos"

DOI: 10.1063/5.0021844

Abstract: Mathematics can be used to analyze and model cardiac arrhythmia. I discuss three different problems. (1) Diagnosis of atrial fibrillation based on the time intervals between subsequent beats. The probability density histograms of the differences… read more here.

Keywords: atrial fibrillation; core rotors; mathematics; cardiac arrhythmia ... See more keywords

Detection of cardiac arrhythmia patterns in ECG through H × C plane.

Sign Up to like & get
recommendations! Published in 2022 at "Chaos"

DOI: 10.1063/5.0118717

Abstract: The aim of this study is to formulate a new methodology based upon informational tools to detect patients with cardiac arrhythmias. As it is known, sudden death is the consequence of a final arrhythmia, and… read more here.

Keywords: cardiac arrhythmia; arrhythmia; plane; detection ... See more keywords

An Automated Cardiac Arrhythmia Classification Network for 45 Arrhythmia Classes Using 12-Lead Electrocardiogram

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3380892

Abstract: Electrocardiogram is a non-invasive, inexpensive, and widely used diagnostic tool for arrhythmia diagnosis in clinics. Deep learning techniques have shown great promise in electrocardiogram signal analysis, enabling automatic and accurate detection of various cardiac arrhythmia.… read more here.

Keywords: classification; cardiac arrhythmia; arrhythmia; network ... See more keywords