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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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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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Advanced Necklace for Real-Time PPG Monitoring in Drivers.

Anna Lo Grasso1, Pamela Zontone2, Roberto Rinaldo1

  • 1Polytechnic Department of Engineering and Architecture, University of Udine, 33100 Udine, Italy.

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|September 28, 2024
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Summary
This summary is machine-generated.

This study introduces a novel necklace sensor for accurate heart rate (HR) monitoring in drivers using photoplethysmography (PPG). The low-cost algorithms effectively reduce motion artifacts, ensuring reliable HR estimation for driver well-being assessment.

Keywords:
electrocardiogramheart rate monitoringmotion artifactsphotoplethysmographysliding DFT

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Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Signal Processing

Background:

  • Photoplethysmography (PPG) signal monitoring for heart rate (HR) estimation is challenging due to motion artifacts during daily activities.
  • Inaccurate HR estimations can result from signal contamination caused by subject movements, impacting driver well-being assessment.

Purpose of the Study:

  • To present an innovative necklace sensor with low-computational-cost algorithms for HR estimation in drivers experiencing non-abrupt movements.
  • To enable real-time HR monitoring for assessing driver physiological condition and stress indicators.
  • To develop a comfortable, wearable solution for continuous data gathering while driving.

Main Methods:

  • Implementation of a wearable sensor necklace for PPG signal acquisition.
  • Utilizing low-computational-cost algorithms (modified mountaineer's algorithm, sliding discrete Fourier transform) for HR estimation.
  • Signal processing techniques to remove noise and motion artifacts, validated in a simulated driving environment.

Main Results:

  • The necklace sensor successfully acquired PPG signals with limited motion artifacts.
  • Acceptable HR estimations were achieved at a low computational cost.
  • Experiments demonstrated the sensor's reliability in capturing HR changes associated with driving-induced stress.

Conclusions:

  • The developed wearable sensor necklace provides a reliable method for real-time HR monitoring in drivers.
  • The integrated low-cost algorithms effectively mitigate motion artifacts, enhancing HR estimation accuracy.
  • This technology offers a promising approach for assessing driver well-being and detecting stress indicators.