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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...
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Special considerations while measuring pulse01:13

Special considerations while measuring pulse

566
Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
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Related Experiment Video

Updated: Jun 8, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.2K

Radar-based contactless heart beat detection with a modified Pan-Tompkins algorithm.

Hoang Thi Yen1, Vuong Tri Tiep1, Van-Phuc Hoang1

  • 1Le Quy Don Technical University, Hanoi, Vietnam.

Biomedical Physics & Engineering Express
|November 6, 2024
PubMed
Summary
This summary is machine-generated.

This study shows radar can accurately measure heart rate non-contact, matching electrocardiography (ECG) results. This non-contact vital sign monitoring offers a promising alternative to traditional methods.

Keywords:
CW radarG. SunH.T. Yenheart beatmodified Pan-Tompkinsnon-contact

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Last Updated: Jun 8, 2025

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Wearable Technology

Background:

  • Non-contact vital sign monitoring using radar technology is gaining traction.
  • Challenges remain in achieving high accuracy for contactless measurements.
  • Radar offers potential benefits over traditional contact-based sensors.

Purpose of the Study:

  • To develop and validate a radar-based system for accurate non-contact heart rate measurement.
  • To compare the performance of the radar system against a gold standard contact-based method.
  • To assess the feasibility of radar for future healthcare applications.

Main Methods:

  • A two-stage approach involving data segmentation and signal channel selection.
  • Application of a modified Pan-Tompkins algorithm to process raw radar signals.
  • Experimental validation with twelve human participants.

Main Results:

  • High correlation (98.74%) between radar-derived and electrocardiography (ECG) heart rates.
  • Narrow 95% limits of agreement (2.4 beats per minute) between radar and ECG.
  • Demonstrated strong agreement for heart rate measurement.

Conclusions:

  • The developed radar method achieves high accuracy in non-contact heart rate monitoring.
  • Radar technology shows potential to supplement or replace contact sensors in healthcare.
  • This research supports the advancement of non-contact vital sign sensing.