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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...
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Related Experiment Video

Updated: Jun 19, 2025

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation
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Intuitionistic Fuzzy Biofeedback Control of Implanted Dual-Sensor Cardiac Pacemakers.

Hussain Alshahrani1, Amnah Alshahrani2, Mohamed Esmail Karar3

  • 1Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra 11961, Saudi Arabia.

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|July 27, 2024
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Summary
This summary is machine-generated.

A new intelligent controller for dual-sensor cardiac pacemakers uses intuitionistic fuzzy logic (IFL) to improve patient care. This advanced system enhances pacemaker performance by integrating expert knowledge and managing patient health effectively.

Keywords:
cardiac diseasesdual-sensor pacemakersintelligent controlintuitionistic fuzzy logic

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Area of Science:

  • Biomedical Engineering
  • Cardiology
  • Control Systems

Background:

  • Cardiac pacemakers manage bradycardia (heart rhythm < 60 bpm).
  • Dual-sensor pacemakers aim to restore normal cardiac electromechanical activity.
  • Existing control schemes may not fully optimize pacemaker performance.

Purpose of the Study:

  • To develop a novel intelligent controller for implanted dual-sensor cardiac pacemakers.
  • To enhance pacemaker performance by integrating cardiologists' expert knowledge.
  • To improve patient healthcare through intuitive and efficient pacemaker management.

Main Methods:

  • Development of a novel intelligent controller based on intuitionistic fuzzy logic (IFL).
  • Integration of qualitative expert knowledge from cardiologists into the pacemaker design.
  • Utilization of non-membership functions to address uncertainty and improve control.

Main Results:

  • The developed IFL controller merges expert knowledge for improved pacemaker design.
  • The controller enhances pacemaker performance compared to previous fuzzy control schemes.
  • The system efficiently manages diverse patient health conditions and daily activity constraints.

Conclusions:

  • The proposed IFL controller offers an intuitive approach to dual-sensor cardiac pacemaker management.
  • This intelligent system can significantly improve the healthcare of patients with implanted pacemakers.
  • The controller's ability to handle uncertainty and expert knowledge leads to superior performance.