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相关概念视频

Mechanism of Cardiac Arrhythmias01:28

Mechanism of Cardiac Arrhythmias

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Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
909
Disturbances in Heart Rhythm01:28

Disturbances in Heart Rhythm

930
Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
930
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

208
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
208
Pulse rhythm01:30

Pulse rhythm

782
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...
782
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

2.9K
The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...
2.9K
Regulation of Heart Rates01:31

Regulation of Heart Rates

1.7K
The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...
1.7K

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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
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使用人工神经网络检测心律不整.

Sangeetha R G1, Kishore Anand K1, Sreevatsan B1

  • 1School of Electronics Engineering, Vellore Institute of Technology, Chennai, Vandalur - Kelambakkam Road, Chennai, 600127, Tamil Nadu, India.

Heliyon
|July 18, 2024
PubMed
概括

这项研究介绍了一种使用人工神经网络 (ANN) 算法的紧型心脏异常监测可穿戴设备. 与PCA模型相结合的Kernelized SVC显示了在节能系统中准确的心脏监测的潜力.

科学领域:

  • 生物医学工程 生物医学工程
  • 人工智能的人工智能
  • 可穿戴技术可穿戴技术

背景情况:

  • 可穿戴医疗设备在平衡性能与功耗和成本方面面临着挑战.
  • 先进的人工神经网络 (ANN) 算法为紧型设备中复杂的健康监测提供了潜力.
  • 现有的高端可穿戴设备往往具有高功率需求和成本.

研究的目的:

  • 开发一个紧的心脏异常监测可穿戴设备,集成ANN算法.
  • 评估Levenberg-Marquardt (LM) ANN算法的可行性和实用性,用于对功耗有意识的可穿戴应用.
  • 将各种神经网络模型进行比较,以获得心脏监测中的最佳性能.

主要方法:

  • 开发"心脏异常监测"可穿戴医疗设备原型.
  • 对于嵌入式系统的Levenberg-Marquardt (LM) ANN算法的集成和评估.
  • 对六种不同神经网络模型的比较分析,包括Kernelized SVC与PCA.
  • 通过与工作原型的整合来评估性能,可行性和实用性.

主要成果:

  • 莱文伯格-马奎特 (LM) ANN算法被评估为其适用于功率受限制的可穿戴设备的适用性.
  • 一项比较研究确定了"Kernelized SVC with PCA"作为测试准确性的有希望的替代模型.
关键词:
检测心律不整的检测心律不整.在 LM-ANN 里.回归是一种回归.培训 培训 培训 培训 培训可穿戴设备是一种可穿戴设备.

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  • 通过将ANN模型集成到原型设备中来评估ANN模型的性能和实用性.
  • 结论:

    • 开发的可穿戴设备证明了对心脏异常监测的可行方法.
    • 与PCA模型一起的Kernelized SVC显示了可穿戴技术中准确和高效的心脏监测的潜力.
    • 这项研究证实了使用ANN算法在成本效益高,功率意识高的可穿戴医疗设备中的可行性.