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相关概念视频

Pulse rhythm01:30

Pulse rhythm

768
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...
768
Electrocardiogram01:29

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An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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相关实验视频

Updated: Jun 9, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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利用启发式优化利用PPG信号检测心血管疾病的分类器性能.

Sivamani Palanisamy1, Harikumar Rajaguru2

  • 1Department of Electronics and Communication Engineering, Jansons Institute of Technology, Coimbatore 641659, India.

Diagnostics (Basel, Switzerland)
|October 25, 2024
PubMed
概括

启发式优化和机器学习有效地使用光聚光学 (PPG) 信号检测心血管疾病 (CVD). 这种方法在非侵入性地识别心血管疾病方面达到95.12%的准确性.

关键词:
在CVD中,CVD是非常重要的.在 KNN KNN 标签上.在 LDA LDA 中.在这里,我们可以看到LRLRLRLR.在SVM中,SVM是SVM.减少维度,减少维度.

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科学领域:

  • 生物医学工程 生物医学工程
  • 机器学习 机器学习
  • 心血管健康 心血管健康

背景情况:

  • 摄影致血学 (PPG) 信号测量血液体积变化,并越来越多地用于非侵入性心血管疾病 (CVD) 检测.
  • 分析PPG信号有助于识别不规则的心脏模式和其他心血管疾病指标.

研究的目的:

  • 评估启发式优化算法的有效性与机器学习分类器相结合,用于使用PPG信号进行非侵入性心血管疾病检测.
  • 确定缩小维度和分类技术的最佳组合,以准确诊断心血管疾病.

主要方法:

  • 利用来自CapnoBase数据库的41个受试者的PPG数据 (21个正常,20个心血管疾病).
  • 应用了启发式优化算法 (ABC-PSO,CSA,DFA) 来减少PPG数据的维度.
  • 通过各种机器学习模型 (LR,KNN,LDA,SVM变体) 分类缩小尺寸的PPG数据,并通过准确性,MCC和F1得分等指标评估性能.

主要成果:

  • 应用于ABC-PSO缩小维度数据的SVM-RBF分类器实现了最高准确率 (95.12%) 和最低错误率 (4.88%).
  • 这种最佳模型还产生了高性能指标:MCC和卡帕 (0.90),GDR和F1得分 (95%),和贾卡德指数 (90.48%).

结论:

  • 基于启发式的优化和机器学习的PPG信号的分类证明了高效的非侵入性心血管疾病检测.
  • 这项研究证实了先进的计算方法在改善心血管诊断方面的潜力.