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Related Concept Videos

Pulse01:16

Pulse

When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical indicator...
Pulse01:05

Pulse

The pulse is one of the most fundamental physiological indicators of the body's cardiovascular health. It is the rhythmic expansion and contraction of the arterial walls in response to the pressure generated by the heart's pumping action.
Pulse Rate and its Significance
Pulse rate, often measured in beats per minute (bpm), reflects the heart rate (HR), which is influenced by numerous factors such as stress, physical activity, and hormonal changes. A normal resting adult pulse rate falls between...
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
Regulation of Pulse01:20

Regulation of Pulse

Pulse regulation involves physiological mechanisms that ensure adequate blood flow throughout the body. The heartbeat, regulated by the autonomic nervous system, is influenced by hormonal balance, physical activity, and emotional state.
Pulse amplitude and quality01:17

Pulse amplitude and quality

Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
Pulse rhythm01:30

Pulse rhythm

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 muscle...

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Related Experiment Video

Updated: May 10, 2026

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
08:45

Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption

Published on: June 20, 2025

Physical activity classification for elderly based on pulse rate.

Mobyen Uddin Ahmed1, Amy Loutfi

  • 1Center for Applied Autonomous Sensor Systems, Örebro University, Sweden.

Studies in Health Technology and Informatics
|June 7, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using pulse rate to accurately classify elderly physical activity, overcoming limitations of accelerometer data. The system achieved high accuracy, improving active aging strategies.

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Data Science

Background:

  • Physical activity is crucial for active aging in the elderly.
  • Accelerometer data alone struggles to differentiate body movement from actual physical activity.
  • Accurate physical activity monitoring is essential for elderly health and well-being.

Purpose of the Study:

  • To develop and evaluate a case-based retrieval classification scheme for identifying elderly physical activity using pulse rate measurements.
  • To improve the accuracy of physical activity classification compared to traditional methods.

Main Methods:

  • A case-based retrieval approach was employed.
  • Features were extracted from both time and frequency domains of pulse rate data.
  • Classification accuracy was evaluated using control and test datasets.

Main Results:

  • Combining time and frequency domain features yielded the best accuracy.
  • Control measurements achieved 95% sensitivity, 96% specificity, and 96% overall accuracy.
  • The system correctly identified 13 out of 16 physical activities in the test dataset (81% correctness).

Conclusions:

  • Pulse rate measurements, analyzed with a case-based retrieval scheme, offer a viable method for classifying elderly physical activity.
  • This approach enhances the ability to monitor and promote active aging.
  • The combined time-frequency domain feature analysis is key to achieving high classification performance.