Auto Lead Extraction and Digitization of ECG Paper Records using cGAN [PDF]
arXiv, 2022 Purpose: An Electrocardiogram (ECG) is the simplest and fastest bio-medical test that is used to detect any heart-related disease. ECG signals are generally stored in paper form, which makes it difficult to store and analyze the data. While capturing ECG leads from paper ECG records, a lot of background information is also captured, which results in ...
arxiv
Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems
, 2014 Recent results in telecardiology show that compressed sensing (CS) is a promising tool to lower energy consumption in wireless body area networks for electrocardiogram (ECG) monitoring. However, the performance of current CS-based algorithms, in terms of
Barner, Kenneth E. +3 more
core +1 more source
Manifold learning for image-based gating of intravascular ultrasound(IVUS) pullback sequences [PDF]
, 2010 Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel struc- tures. The IVUS frames are acquired by pulling the catheter back with a motor running at a constant speed.
Degertekin, Muzaffer +10 more
core +1 more source
Phase 1, First‐In‐Human, Single‐/Multiple‐Ascending Dose Study of Iluzanebart in Healthy Volunteers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of iluzanebart, a fully human monoclonal antibody TREM2 (triggering receptor expressed on myeloid cells 2) agonist, after single‐ (SAD) and multiple‐ascending‐dose (MAD) administration.
Andreas Meier +8 more
wiley +1 more source
Sensors, 2019 In this work, a new clustering algorithm especially geared towards merging data arising from multiple sensors is presented. The algorithm, called PN-EAC, is based on the ensemble clustering paradigm and it introduces the novel concept of negative ...
David G. Márquez +5 more
doaj +1 more source
Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing [PDF]
, 2019 Machine learning shows great performance in various problems of electrocardiography (ECG) signal analysis. However, collecting a dataset for biomedical engineering is a very difficult task. Any dataset for ECG processing contains from 100 to 10,000 times fewer cases than datasets for image or text analysis. This issue is especially important because of
arxiv +1 more source
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery
, 2018 The electrocardiogram or ECG has been in use for over 100 years and remains the most widely performed diagnostic test to characterize cardiac structure and electrical activity.
Delling, Francesca N. +3 more
core +1 more source
ADAPT NXT: Fixed Cycles or Every‐Other‐Week IV Efgartigimod in Generalized Myasthenia Gravis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This phase 3b, open‐label, randomized ADAPT NXT study investigated the efficacy, safety, and tolerability of efgartigimod administered in either a fixed cycles dosing regimen (3 cycles of 4 once‐weekly infusions, with 4 weeks between cycles) or a cycle followed by every‐other‐week (Q2W) dosing.
Ali A. Habib +16 more
wiley +1 more source
Self-care of Caregivers: Self-Compassion in a Population of Dutch Medical Students and Residents
MedEdPublish, 2020 Objectives: The incidence of burnout in medical students and residents continues to outpace that of the general population. Self-compassion, a concept in the study of well-being, may moderate against adverse mental health outcomes.
Juliet Godthelp +4 more
doaj
Electrocardiography in horses, part 2: how to read the equine ECG [PDF]
, 2010 The equine practitioner is faced with a wide variety of dysrhythmias, of which some are physiological. The recording of an exercise electrocardiogram (ECG) can help distinguish between physiological and pathological dysrhythmias, underlining the ...
De Clercq, Dominique +5 more
core