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Related Concept Videos

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...
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

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.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is important. 
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:
Standard Deviation01:10

Standard Deviation

The most commonly used measure of variation is the standard deviation. It is a numerical value measuring how far data values are from their mean. The standard deviation value is small when the data are concentrated close to the mean, exhibiting slight variation or spread. The standard deviation value is never negative, it is either positive or zero. The standard deviation is larger when the data values are more spread out from the mean, which means the data values are exhibiting more...
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...

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Related Experiment Video

Updated: Jun 3, 2026

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care
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Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Published on: May 10, 2024

Wavelength selection method with standard deviation: application to pulse oximetry.

Camille Vazquez-Jaccaud1, Gonzalo Paez, Marija Strojnik

  • 1Infrared Physics Group, Centro de Investigaciones en Optica, Apartado Postal 1-948, 37150 Leon, Gto., Mexico.

Annals of Biomedical Engineering
|April 5, 2011
PubMed
Summary
This summary is machine-generated.

A new method using a standard deviation map enhances near-infrared spectroscopy by selecting optimal wavelengths. This improves low-noise sensitivity for biological monitoring, even with noisy data from live subjects.

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Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Medical Instrumentation

Background:

  • Near-infrared spectroscopy (NIRS) offers valuable biological insights within the therapeutic window.
  • Current NIRS applications face challenges with subject movement and physiological changes, leading to measurement noise.
  • Temporal variations and noise significantly impact the reliability of spectroscopic data from live subjects.

Purpose of the Study:

  • To introduce a novel wavelength selection method for NIRS monitoring.
  • To address and mitigate noise sensitivity in spectroscopic measurements from live subjects.
  • To enhance low-noise sensitivity for biological information extraction.

Main Methods:

  • Development of a standard deviation map-based wavelength selection technique.
  • Application of the method to spectral transillumination, transmission, and reflection signals.
  • Utilizing spectroscopic data to generate a standard deviation map as a figure-of-merit for noise assessment.

Main Results:

  • Identification of four wavelength domains with minimal sensitivity to temporal noise.
  • Selection of two specific wavelength domains exhibiting low sensitivity to temporal noise.
  • Demonstration of the method's effectiveness in reducing noise in spectroscopic data, including pulse oximetry.

Conclusions:

  • The proposed standard deviation map method offers a robust approach for wavelength selection in NIRS.
  • This technique improves signal quality and reliability in the presence of physiological noise.
  • The method is applicable to various NIRS configurations and beneficial for accurate biological monitoring.