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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.
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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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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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Assessing blood pressure is a standard procedure executed in virtually all medical environments. The method utilized today was established over a hundred years ago by an innovative Russian doctor, Dr. Nikolai Korotkoff. The soft ticking noise, known as Korotkoff sounds, heard while taking blood pressure readings results from turbulent blood flow within the vessels. The apparatus required for this procedure includes a sphygmomanometer, a blood pressure cuff attached to a gauge, and a stethoscope.
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Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
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Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.

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Development of an Algorithm to Perform a Comprehensive Study of Autonomic Dysreflexia in Animals with High Spinal Cord Injury Using a Telemetry Device
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Pulse rate estimation using hydraulic bed sensor.

B Y Su1, K C Ho, M Skubic

  • 1ECE Dept., University of Missouri, USA. bsdg6@mail.missouri.edu

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 summary is machine-generated.

This study introduces an effective method for pulse rate estimation using a hydraulic sensor. The technique accurately extracts heart rate from ballistocardiogram signals with less than 1% error.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Physiological Monitoring

Background:

  • Non-invasive physiological monitoring is crucial for healthcare.
  • Ballistocardiogram (BCG) signals contain vital physiological information.
  • Extracting pulse rate from BCG signals is challenging due to signal superposition.

Purpose of the Study:

  • To develop an effective method for pulse rate estimation from hydraulic sensor data.
  • To accurately separate and analyze ballistocardiogram (BCG) signals.
  • To validate the proposed method's accuracy in pulse rate estimation.

Main Methods:

  • Utilized a hydraulic sensor placed under a mattress to capture physiological signals.
  • Modeled the ballistocardiogram (BCG) as a j-peak with frequency modulation.
  • Applied the Hilbert transform to isolate the j-peak and extract pulse rate information.
  • Analyzed signals in the frequency domain for distinct pulse rate identification.

Main Results:

  • Successfully obtained pulse rate information from the combined BCG and respiration signals.
  • The Hilbert transform effectively captured the j-peak for accurate analysis.
  • Pulse rate estimation error was less than 1% across five subjects.
  • Demonstrated distinct pulse rate emergence in the frequency domain.

Conclusions:

  • The proposed method provides an effective and accurate approach for non-invasive pulse rate estimation.
  • The Hilbert transform is a valuable tool for BCG signal analysis and pulse rate extraction.
  • This technique shows promise for remote and continuous physiological monitoring.