Results 101 to 110 of about 264,364 (306)
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Time Course of Cardiac Arrhythmia Following High‐Volume Exercise in Recreational Cyclists
Background The aim of this study was to investigate the time course of cardiac arrhythmias following a bout of high‐volume exercise and to identify factors associated with abnormal cardiac arrhythmia.
Daniel W. T. Wundersitz +7 more
doaj +1 more source
In a prospective study of 20 elderly gastric cancer patients who declined gastrectomy, laparoscopic and endoscopic cooperative surgery (LECS) was technically safe and preserved postoperative function. However, as oncological curability cannot be assured in advanced cases, careful selection and informed consent are essential.
Marie Washio +9 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
CURRENT METHODS OF OUTPATIENT ELECTROCARDIOGRAPHIC MONITORING. CLINICAL ASPECTS
The review presents the clinical characteristics and comparative data of application of modern non-invasive and invasive methods of ambulatory electrocardiographic monitoring in the diagnosis of arrhythmias and cardiac conduction.
E. V. Pervova
doaj +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
ABSTRACT Pathogenic variants in the SCN5A gene and its subunits have been identified in individuals with Brugada Syndrome. One such SCN5A variant, c.689T>C(p.Ile230Thr), was previously reported as disease‐causing only in homozygous individuals, with heterozygous carriers being unaffected.
Shayla Shojaat +2 more
wiley +1 more source
Coupling of Smoothened to inhibitory G proteins reduces voltage-gated K [PDF]
SMO (Smoothened), the central transducer of Hedgehog signaling, is coupled to heterotrimeric Gi proteins in many cell types, including cardiomyocytes.
Al-Owais, Moza +6 more
core +1 more source
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
With tens of thousands of electrocardiogram (ECG) records processed by mobile cardiac event recorders every day, heart rhythm classification algorithms are an important tool for the continuous monitoring of patients at risk.
Delai, Marco +4 more
core +1 more source

