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Related Concept Videos

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...
Pulse Oximetry01:24

Pulse Oximetry

Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

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.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
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Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...

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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Pulse wave sensor for non-intrusive driver's drowsiness detection.

Shan Hu1, Ryan L Bowlds, Ye Gu

  • 1University of Minnesota, Duluth, MN 55812, USA. huxxx193@d.umn.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a PVDF film sensor for non-intrusive driver pulse wave monitoring to detect drowsiness. The low frequency to high frequency (LF/HF) ratio of heart rate variability decreases as drivers become drowsy.

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Area of Science:

  • Biomedical Engineering
  • Wearable Sensors
  • Automotive Safety

Background:

  • Driver drowsiness is a significant safety concern.
  • Non-intrusive physiological monitoring is needed for driver alertness.
  • Existing methods may be intrusive or unreliable.

Purpose of the Study:

  • To develop and validate a Polyvinylidene fluoride (PVDF) film sensor for detecting driver drowsiness.
  • To assess the feasibility of using palm pulse wave signals for drowsiness detection.
  • To correlate heart rate variability metrics with drowsiness levels.

Main Methods:

  • A PVDF film sensor was designed to measure pulse waves non-intrusively from the driver's palm.
  • An adaptive filter was utilized to mitigate noise from grip force variations.
  • Driving simulation experiments were conducted over two hours.
  • Power spectrum density (PSD) analysis was performed on heart rate time series to calculate the LF/HF ratio.

Main Results:

  • Clear pulse wave signals were successfully obtained using the PVDF sensor.
  • The adaptive filter effectively reduced noise from grip force fluctuations.
  • A decreasing trend in the LF/HF ratio was observed as subjects transitioned from awake to drowsy states.

Conclusions:

  • The PVDF film pulse wave sensor is a viable tool for non-intrusive driver drowsiness detection.
  • The LF/HF ratio of heart rate variability serves as a reliable indicator of drowsiness.
  • This technology holds promise for enhancing automotive safety systems.