Results 41 to 50 of about 140,818 (174)
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms [PDF]
arXiv, 2020 Deep learning applied to electrocardiogram (ECG) data can be used to achieve personal authentication in biometric security applications, but it has not been widely used to diagnose cardiovascular disorders. We developed a deep learning model for the detection of arrhythmia in which time-sliced ECG data representing the distance between successive R ...
arxiv
A Novel real-time arrhythmia detection model using YOLOv8 [PDF]
arXiv, 2023 In a landscape characterized by heightened connectivity and mobility, coupled with a surge in cardiovascular ailments, the imperative to curtail healthcare expenses through remote monitoring of cardiovascular health has become more pronounced. The accurate detection and classification of cardiac arrhythmias are pivotal for diagnosing individuals with ...
arxiv
Anti‐Motion Artifacts Iontronic Sensor for Long‐Term Accurate Fingertip Pulse Monitoring
Advanced Science, EarlyView.Flexible pressure sensors are essential for pulse monitoring and cardiovascular disease diagnosis but are affected by motion artifacts (MAs) due to stretching stress. The S‐smooth sensor with a soft‐hard stretchable interface that dissipates energy, reducing MAs by 90% is developed.
Jia You +9 more
wiley +1 more source
Clinical Pharmacology &Therapeutics, Volume 113, Issue 2, Page 435-445, February 2023., 2023 Regulatory authorities put major emphasis on QT (interval)–prolonging properties of new molecular entities. Product information/Summaries of Product Characteristics (SmPCs) of multiple drugs contain warnings or contraindications regarding QT prolongation, e.g., on coadministration of QT‐prolonging drugs (QT drugs).
Melanie I. Then +5 more
wiley +1 more source
Development Of Automated Cardiac Arrhythmia Detection Methods Using Single Channel ECG Signal [PDF]
arXiv, 2023 Arrhythmia, an abnormal cardiac rhythm, is one of the most common types of cardiac disease. Automatic detection and classification of arrhythmia can be significant in reducing deaths due to cardiac diseases. This work proposes a multi-class arrhythmia detection algorithm using single channel electrocardiogram (ECG) signal.
arxiv
Bioactive Inorganic Materials for Innervated Multi‐Tissue Regeneration
Advanced Science, EarlyView.This review comprehensively summarizes the recent advancements of inorganic biomaterials for innervated multi‐tissue regeneration. It emphasizes the design principles of inorganic‐based material composites and their application in functional regeneration of nerves, bone, muscles, skin, and cavernous tissues.
Hongjian Zhang, Ziyi Zhao, Chengtie Wu
wiley +1 more source
Method to Annotate Arrhythmias by Deep Network [PDF]
, 2018 This study targets to automatically annotate on arrhythmia by deep network. The investigated types include sinus rhythm, asystole (Asys), supraventricular tachycardia (Tachy), ventricular flutter or fibrillation (VF/VFL), ventricular tachycardia (VT).
arxiv +1 more source
Novel Electroactive Therapeutic Platforms for Cardiac Arrhythmia Management
Advanced Science, EarlyView.Electroactive platforms offer promising applications in cardiac arrhythmia. Based on their energy sources and mechanisms, electroactive platforms are categorized into i) direct electrical stimulation, ii) self‐powered electroactive systems, iii) physical stimuli‐mediated electroactive systems, and iv) conductive systems, and their applications in ...
Juwei Yang +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.This study presents an ECRAM‐based physical reservoir computing system for real‐time electrocardiogram arrhythmia detection. By optimizing electrolyte ionic conductivity and channel ionic diffusivity, it achieves including non‐linear dynamics, millisecond‐scale tunable retention, low‐power operation, and minimal variation.
Kyumin Lee +3 more
wiley +1 more source
Advanced Neural Network Architecture for Enhanced Multi-Lead ECG Arrhythmia Detection through Optimized Feature Extraction [PDF]
Cardiovascular diseases are a pervasive global health concern, contributing significantly to morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized by irregular heart rhythms, presents formidable diagnostic challenges.
arxiv +1 more source