Results 221 to 230 of about 165,259 (299)

To the Editor- Functional substrate mapping of ventricular arrhythmia. [PDF]

Heart Rhythm O2
Hsia HH, Choe WS.
europepmc   +1 more source

Exploring hemodynamic alterations in gastroschisis: insights into fetal growth restriction using prenatal MRI

Ultrasound in Obstetrics &Gynecology, EarlyView.
Abstract Objective Despite the high incidence of fetal growth restriction (FGR) in gastroschisis (GS) associated with placental fetal vascular malperfusion (FVM), the underlying mechanism remains unclear. We aimed to investigate whether umbilical vein (UV) stenosis at the abdominal wall defect impairs fetoplacental circulation, leading to FGR.
H. Shi, D. Prayer, P. Kienast, R. Stepponat, C. Mitter, J. Tischer, X. Li, J. Binder, G. Kasprian   +8 more
wiley   +1 more source

Colitis induced ventricular alternans increases the risk for ventricular arrhythmia. [PDF]

J Mol Cell Cardiol
Pereira CH, Kittaka H, Ouille V EJ, Almeida JFQ, Pélaez AF, Keshavarzian A, Blatter LA, Banach K.   +7 more
europepmc   +1 more source

Left and right myocardial performance indices in growth‐restricted fetuses: systematic review and meta‐analysis

Ultrasound in Obstetrics &Gynecology, EarlyView.
ABSTRACT Objectives To evaluate alterations in fetal cardiac function in pregnancies complicated by fetal growth restriction (FGR) by synthesizing evidence on myocardial performance index (MPI) and its constituent parameters for both the left and right ventricles.
A. Sirico, I. Mappa, G. M. Maruotti, L. Cobellis, G. Rizzo   +4 more
wiley   +1 more source

Diagnostic accuracy of electrocardiogram algorithms for differentiating left from right outflow tract ventricular arrhythmia: a systematic review and network meta-analysis. [PDF]

Heart
He Z, Liu M, Ying P, Song M, Tan X.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Sarcopenia index as a predictor of ventricular arrhythmia risk in patients with type 2 diabetes mellitus: a longitudinal study. [PDF]

Diabetol Metab Syndr
Li X, Yang L, Gao Y, Chen K, Tang M, Niu H, Sun Q, Zhang S.   +7 more
europepmc   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

A Case of Ventricular Arrhythmia in a Patient With HER2-Positive Gastric Cancer Receiving Trastuzumab. [PDF]

Case Rep Gastrointest Med
Takahashi N, Fujii H, Iwasa T, Koizumi Y, Minagawa Y, Tono C.   +5 more
europepmc   +1 more source