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Related Concept Videos

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:
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.
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Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

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Assessment of radial pulse01:11

Assessment of radial pulse

Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

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.
Pre-Procedural Preparation

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Estimating heart rate using wrist-type Photoplethysmography and acceleration sensor while running.

Hayato Fukushima1, Haruki Kawanaka, Md Shoaib Bhuiyan

  • 1Graduate school of Information Scienceand Technology, Aichi Prefectural University, Japan. h.fukushima@bme.ist.aichi-pu.ac.jp

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

This study developed a wrist-worn sensor algorithm for accurate heart rate (HR) estimation during running. The method effectively reduces motion artifacts, offering a highly usable alternative to traditional ECG monitoring.

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Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Physiological Monitoring

Background:

  • Photoplethysmography (PPG) sensors are commonly used for heart rate (HR) monitoring.
  • Wrist-type PPG sensors are susceptible to motion artifacts during physical activity, impacting HR estimation accuracy.
  • Existing methods often rely on cumbersome or less portable solutions like Holter Electrocardiogram (ECG).

Purpose of the Study:

  • To develop and validate an accurate heart rate estimation algorithm for wrist-type PPG sensors during running.
  • To improve the robustness of PPG-based HR monitoring by incorporating accelerometer data to mitigate motion artifacts.
  • To provide a more user-friendly and accessible method for continuous HR monitoring compared to ECG.

Main Methods:

  • Utilized a wrist-type Photoplethysmography (PPG) sensor integrated with an accelerometer.
  • Developed a novel algorithm employing frequency analysis to differentiate between PPG signals and motion artifacts by comparing power spectra of PPG and acceleration.
  • Incorporated acceleration data to assess the reliability of the heart rate estimation.

Main Results:

  • The proposed algorithm demonstrated high accuracy in estimating heart rate during running, with results closely correlating to Holter ECG (correlation coefficient r = 0.98).
  • The standard deviation between the proposed method and ECG was 8.7 bpm, indicating precise measurements.
  • The method effectively reduced the impact of body motion artifacts common in arm-based sensors.

Conclusions:

  • The developed wrist-type PPG sensor algorithm provides a highly accurate and usable method for heart rate estimation during running.
  • This approach offers a practical and convenient alternative to Holter ECG for continuous physiological monitoring.
  • The integration of accelerometer data significantly enhances the reliability of PPG-based heart rate monitoring in dynamic conditions.