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Related Concept Videos

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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Special considerations while measuring pulse01:13

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To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
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Assessment of blood pressure in brachial artery(two-step method)01:23

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Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
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Assessment of apical radial pulse01:25

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Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
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This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
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Related Experiment Video

Updated: Mar 22, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
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A Pulse Rate Estimation Algorithm Using PPG and Smartphone Camera.

Sarah Ali Siddiqui1, Yuan Zhang2, Zhiquan Feng1

  • 1Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China.

Journal of Medical Systems
|April 13, 2016
PubMed
Summary

This study introduces a new algorithm using smartphone cameras to estimate pulse rate via PhotoPlethysmograph (PPG) signals. The method achieves high accuracy, with an average error of only 1.98%.

Keywords:
Mobile healthPhotoPlethysmoGraph (PPG)Pulse rateSmartphone sensor

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Area of Science:

  • Biomedical Engineering
  • Mobile Health (mHealth)
  • Signal Processing

Background:

  • Smartphone sensors and big data analytics are increasingly utilized in healthcare applications.
  • Monitoring basic vital signs, such as pulse rate, is a critical healthcare necessity.
  • Existing methods for pulse rate monitoring can be invasive or require specialized equipment.

Purpose of the Study:

  • To propose and validate an algorithm for estimating pulse rate using only a smartphone camera.
  • To leverage PhotoPlethysmograph (PPG) signals captured by smartphone video streams for non-invasive vital sign monitoring.
  • To assess the accuracy and reliability of the proposed smartphone-based pulse rate estimation method.

Main Methods:

  • Development of a novel algorithm to extract PPG signals from smartphone video data.
  • Utilizing the built-in smartphone camera as the sole sensor for data acquisition.
  • Comparison of algorithm-derived pulse rates against actual measurements.

Main Results:

  • The proposed algorithm demonstrated a maximum error of only 3 beats per minute when compared to actual pulse rates.
  • The standard deviation for percentage error and accuracy was found to be 0.68%.
  • The average percentage error was 1.98%, with an average percentage accuracy of 98.02%.

Conclusions:

  • Smartphone cameras can be effectively used for accurate and reliable pulse rate estimation.
  • The developed algorithm offers a non-invasive, accessible, and cost-effective solution for remote vital sign monitoring.
  • This technology has significant potential to enhance mobile health applications and personal healthcare management.