Zobrazeno 1 - 10
of 617 315
pro vyhledávání: '"an electrocardiogram"'
Early and optimal identification of cardiac anomalies, especially Myocardial infarction (MCI) can aid the individual in obtaining prompt medical attention to mitigate the severity. Electrocardiogram (ECG) is a simple non-invasive physiological signal
Externí odkaz:
http://arxiv.org/abs/2412.17370
In this paper, we present a high-performance, compact electrocardiogram (ECG)-based system for automatic classification of arrhythmias, integrating machine learning approaches to achieve robust cardiac diagnostics. Our method combines a compact artif
Externí odkaz:
http://arxiv.org/abs/2412.17852
The rapid advancements in Artificial Intelligence, specifically Machine Learning (ML) and Deep Learning (DL), have opened new prospects in medical sciences for improved diagnosis, prognosis, and treatment of severe health conditions. This paper focus
Externí odkaz:
http://arxiv.org/abs/2412.05583
Background: Liver diseases are a major global health concern, often diagnosed using resource-intensive methods. Electrocardiogram (ECG) data, widely accessible and non-invasive, offers potential as a diagnostic tool for liver diseases, leveraging the
Externí odkaz:
http://arxiv.org/abs/2412.03717
Background: Laboratory values are fundamental to medical diagnosis and management, but acquiring these values can be costly, invasive, and time-consuming. While electrocardiogram (ECG) patterns have been linked to certain laboratory abnormalities, th
Externí odkaz:
http://arxiv.org/abs/2411.14886
Autor:
Wang, Yue, Cao, Xu, Hu, Yaojun, Ying, Haochao, Rehg, James Matthew, Sun, Jimeng, Wu, Jian, Chen, Jintai
Electrocardiogram (ECG), a non-invasive and affordable tool for cardiac monitoring, is highly sensitive in detecting acute heart attacks. However, due to the lengthy nature of ECG recordings, numerous machine learning methods have been developed for
Externí odkaz:
http://arxiv.org/abs/2411.17711
Autor:
Guan, Wenqi
Cardiovascular diseases remain the leading cause of morbidity and mortality, particularly in aging populations, with rising rates of heart-related incidents in middle-aged and even younger individuals. Currently available electrocardiogram (ECG) moni
Externí odkaz:
http://arxiv.org/abs/2411.06962
Publikováno v:
Journal of Biotech Research. 2024, Vol. 17, p1-10. 10p.
Large Language Models (LLMs) have shown remarkable adaptability across domains beyond text, specifically electrocardiograms (ECGs). More specifically, there is a growing body of work exploring the task of generating text from a multi-channeled ECG an
Externí odkaz:
http://arxiv.org/abs/2412.14373
Multimodal large language models (MLLMs) are increasingly being applied in the medical field, particularly in medical imaging. However, developing MLLMs for ECG signals, which are crucial in clinical settings, has been a significant challenge beyond
Externí odkaz:
http://arxiv.org/abs/2411.14795