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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

758
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...
758
Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

821
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
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Related Experiment Video

Updated: Jun 3, 2025

A New Single Chamber Implantable Defibrillator with Atrial Sensing: A Practical Demonstration of Sensing and Ease of Implantation
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Artificial Intelligence-Enabled Novel Atrial Fibrillation Diagnosis System Using 3D Pulse Perception Flexible

Yujie Cao1, Ping Li2, Yirun Zhu1

  • 1Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering, Soochow University, Suzhou 215137, China.

ACS Sensors
|January 6, 2025
PubMed
Summary

A new system using Traditional Chinese Medicine principles, wearable sensors, and AI can detect atrial fibrillation (AF). This innovative approach achieves high accuracy in identifying AF, aiding in diagnosis and remote treatment.

Keywords:
artificial intelligenceatrial fibrillationflexible sensing arrayspulse recognition systemthree-dimensional pulse

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Area of Science:

  • Cardiovascular Medicine
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Atrial fibrillation (AF) is a common cardiovascular disease with significant disability and mortality rates.
  • Timely and effective AF recognition is crucial for diagnosis and prevention.
  • Current diagnostic methods may lack accessibility or real-time capabilities.

Purpose of the Study:

  • To develop a novel intelligent sensing and recognition system for AF.
  • To integrate Traditional Chinese Medicine (TCM) theory with flexible wearable electronics and artificial intelligence (AI).
  • To establish a new strategy for precise diagnosis and remote treatment of AF.

Main Methods:

  • Designed flexible pressure sensor arrays based on TCM theory to capture 3D pulse data (Cun, Guan, Chi).
  • Developed a signal acquisition system to record pulse signals, labeled by cardiovascular disease doctors.
  • Utilized a convolutional neural network (CNN) and a pulse database to create an AF recognition model.

Main Results:

  • The system successfully captured synchronous 3D pulse data, differentiating between individuals with and without AF.
  • The AI-powered recognition model achieved up to a 90% recognition rate in laboratory settings.
  • Clinical validation in hospitals demonstrated an 80% recognition rate for detecting AF patients.

Conclusions:

  • The proposed system offers a novel strategy for the precise diagnosis and remote treatment of AF.
  • This integration of TCM, wearable electronics, and AI accelerates the development of Modern Chinese Medicine treatments.
  • The intelligent sensing system shows promise for improving AF management and patient outcomes.