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相关概念视频

Neural Regulation of Blood Pressure01:18

Neural Regulation of Blood Pressure

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The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
Baroreceptor Reflex
Baroreceptors, located in the carotid sinuses and aortic arch, detect changes in blood pressure. When blood pressure rises, these stretch-sensitive receptors...
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Pulse rhythm01:30

Pulse rhythm

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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
849
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
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Coronary Artery Disease IV: Preventive Measures01:26

Coronary Artery Disease IV: Preventive Measures

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Effective preventive measures for coronary artery disease (CAD) focus on controlling modifiable risk factors, including cholesterol abnormalities and lifestyle changes.Cholesterol ManagementFirst, the Mediterranean diet and the American Heart Association advocate for maintaining low-density lipoprotein (LDL) cholesterol levels below 100 mg/dL, with a more stringent recommendation of below 70 mg/dL for individuals at high risk. LDL cholesterol, often termed "bad cholesterol," can lead to the...
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Regulation of Stroke Volume01:27

Regulation of Stroke Volume

3.3K
The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
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Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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相关实验视频

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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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基于雾的智能心血管疾病预测系统由修改后的门式循环单元提供动力.

A Angel Nancy1, Dakshanamoorthy Ravindran1, Durai Raj Vincent2

  • 1Department of Computer Science, St. Joseph's College (Autonomous), Bharathidasan University, Tiruchirappalli 620002, India.

Diagnostics (Basel, Switzerland)
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概括

一个新的雾辅助智能医疗保健系统使用深度学习改进了心血管疾病的诊断. 这种边缘-雾-云模型显著降低了延迟,并提高了对时间关键医疗应用的准确性.

关键词:
物联网的物联网,就是物联网.心血管疾病心血管疾病云计算是云计算中的一个.雾计算 雾计算 雾计算有门的循环单元.医疗保健 医疗保健 医疗保健 医疗保健心脏病发作是因为心脏病发作.预测分析 预测分析经常性的神经网络.

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科学领域:

  • * 计算机科学,人工智能,医疗保健技术
  • *专注于边缘计算,雾计算和云计算集成.

背景情况:

  • * 云计算提供基本服务,但面临着诸如物联网 (IoT) 的延迟和带宽限制等局限性.
  • *物联网设备的扩散产生了大量的数据,加剧了云-物联网交互挑战.
  • *雾计算提供了一个去中心化层,通过将计算更接近数据源来缓解这些问题.

研究的目的:

  • * 提出一种雾辅助的智能医疗保健系统,用于诊断心脏或心血管疾病.
  • *利用边缘-雾-云模型来优化医疗保健中的数据处理和预测分析.
  • * 解决时间关键的医疗保健应用程序中的延迟,延迟和安全漏洞.

主要方法:

  • * 集成一个模糊的推断系统 (FIS) 用于数据预处理.
  • * 运用了Gated Recurrent Unit (GRU),一种反复的神经网络的变体,用于预测分析.
  • * 实现了层次化的边缘-雾-云架构,在雾层进行了大量的处理.

主要成果:

  • * 在心血管疾病诊断方面达到99.125%的高分类准确率.
  • * 与仅使用云计算的解决方案相比,在延迟,响应时间和动方面取得了优化结果.
  • *验证了深度学习模型在医疗保健的雾计算范式中的有效性.

结论:

  • * 拟议的雾辅助系统显著增强了智能医疗诊断.
  • * 边缘-雾-云模型有效地解决了庞大的数据量和延迟问题.
  • * 深度学习与雾计算相结合,为时间关键的医疗保健应用提供了近乎完美的结果.