Results 151 to 160 of about 678,002 (383)

ECG Signal Compression and Optimization in Remote Monitoring Networks [PDF]

open access: yesarXiv, 2017
We proposed a practical ECG compression system which is beneficial for tele-monitoring cardiovascular diseases. There are two steps in the compression framework. First, we partition ECG signal into segments according to R- to R-wave periods. The partition aims at achieving more stable statistical features between segments of ECG signal which is ...
arxiv  

Next‐Generation Materials for Multifunctional Applications: Design Progress and Prospects of 2D MXene‐Enabled Hybrid Architectures

open access: yesAdvanced Materials Interfaces, Volume 12, Issue 6, March 16, 2025.
MXenes have sparked significant attention for developing low‐dimensional materials to broaden multifunctional applications. This study examines the design progress and future prospective of 2D MXene‐based hybrid architectures, integrating graphene, carbon nanotubes, polyaniline, boron, silicon, and metal oxides.
Md. Rubel Alam   +4 more
wiley   +1 more source

Deploying Partially Cross‐Linked Elastomers to Optimize Adhesion for Long‐Term Surface Electromyography Electrodes

open access: yesAdvanced Materials Interfaces, Volume 12, Issue 9, May 5, 2025.
A novel approach using partially cross‐linked elastomers with conductive carbon black achieves long‐term adhesion and high‐quality signal capture for surface electromyography (sEMG) electrodes. The optimized electrodes demonstrate excellent skin compliance, robust performance through repeated use, and potential applications in wearable biomedical ...
Yuqi Wang   +4 more
wiley   +1 more source

ECG of the Month

open access: yesJournal of the American Veterinary Medical Association, 2021
Iñaki, Prado-Checa   +3 more
openaire   +7 more sources

ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis [PDF]

open access: yesarXiv
The success of Multimodal Large Language Models (MLLMs) in the medical auxiliary field shows great potential, allowing patients to engage in conversations using physiological signal data. However, general MLLMs perform poorly in cardiac disease diagnosis, particularly in the integration of ECG data analysis and medical report generation, mainly due to ...
arxiv  

Recent Advances of Graphene‐Based Wearable Sensors: Synthesis, Fabrication, Performance, and Application in Smart Device

open access: yesAdvanced Materials Interfaces, EarlyView.
This review article explores applications in wearable sensors such as mechanical, electrophysiological, and gas sensors, highlighting advancements that improve device performance and predictability. In addition to analyzing graphene's synthesis techniques, including traditional and advanced laser‐based methods, the article discusses fabrication ...
Fatemeh Saeedi   +2 more
wiley   +1 more source

ECG-FM: An Open Electrocardiogram Foundation Model [PDF]

open access: yesarXiv
The electrocardiogram (ECG) is a ubiquitous diagnostic test. Conventional task-specific ECG analysis models require large numbers of expensive ECG annotations or associated labels to train. Transfer learning techniques have been shown to improve generalization and reduce reliance on labeled data.
arxiv  

Printed Interconnects for Heterogeneous Systems Integration on Flexible Substrates

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
Key components (sensors, energy devices, communication devices, computing chips, and interconnects) of flexible hybrid electronic (FHE) system connected via conductive printed metal tracks. The figure in the insets shows out‐of‐plane printed interconnects providing opportunities for lithography‐free formation of VIAs, in‐plane access of UTCs pads, and ...
Abhishek Singh Dahiya   +3 more
wiley   +1 more source

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model [PDF]

open access: yesarXiv
Electrocardiogram (ECG) is essential for the clinical diagnosis of arrhythmias and other heart diseases, but deep learning methods based on ECG often face limitations due to the need for high-quality annotations. Although previous ECG self-supervised learning (eSSL) methods have made significant progress in representation learning from unannotated ECG ...
arxiv  

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