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Related Concept Videos

Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
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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.
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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).
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Tachycardia is a condition marked by an abnormally fast or irregular heart rate, surpassing the typical resting rate. In adults, tachycardia is characterized by a pulse rate ranging from 100 to 180 beats per minute. The increased heart rate can result in inadequate blood flow to various body parts, ultimately diminishing the oxygen supply to organs and tissues.
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Heart beat detection using a multimodal data coupling method.

M Javad Mollakazemi1, S Abbas Atyabi, Ali Ghaffari

  • 1CardioVascular Research Group (CVRG), Department of Mechanical Engineering at K.N.Toosi University of Technology, Tehran, Iran.

Physiological Measurement
|July 29, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new general peak detector (GPD) algorithm for robust heart beat estimation from multimodal cardiovascular data. The GPD algorithm improves accuracy in noisy or missing electrocardiogram (ECG) signals by fusing data from multiple sources.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Cardiovascular Physiology

Background:

  • Traditional R-peak detection in electrocardiogram (ECG) signals is unreliable with noisy or missing data, leading to inaccurate heart rate estimation.
  • Robust heart beat detection in continuous, long-term multimodal physiological data is crucial for accurate health monitoring.

Purpose of the Study:

  • To develop and evaluate a reliable algorithm for heart beat detection using multimodal cardiovascular signals.
  • To introduce a new general peak detector (GPD) algorithm adaptable to various pulsatile signals, including ECG.
  • To propose and compare three fusion strategies for combining detections from different cardiovascular signals.

Main Methods:

  • Evaluation of three peak detection strategies using ECG and other cardiovascular signals (Blood Pressure, Arterial Pressure, Pulmonary Artery Pressure).
  • Development of a new adaptive General Peak Detector (GPD) algorithm independent of specific signal characteristics.
  • Implementation of fusion criteria based on detection counts and interval regularity to generate coupled waveforms for improved beat localization.

Main Results:

  • The new GPD algorithm demonstrates applicability to ECG and other pulsatile signals, compensating for QRS detection limitations.
  • Fusion strategies effectively combine information from multiple cardiovascular signals, enhancing heart beat detection in noisy segments.
  • Coupled waveforms generated from fused signals (e.g., ECG and BP) improve the detectability of heart beats in compromised data.

Conclusions:

  • The proposed GPD algorithm and fusion strategies offer a more robust approach to heart beat detection compared to traditional methods.
  • This multimodal approach enhances the reliability of heart rate estimation, particularly in challenging signal conditions.
  • The developed methods have the potential to improve long-term cardiovascular monitoring and analysis.