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Related Concept Videos

Pulse Oximetry01:24

Pulse Oximetry

1.6K
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...
1.6K
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

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Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
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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...
1.7K
Special considerations while measuring oxygen saturation01:19

Special considerations while measuring oxygen saturation

1.0K
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...
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Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

3.2K
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.
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Related Experiment Video

Updated: Apr 27, 2026

Use of an Integrated Low-Flow Anesthetic Vaporizer, Ventilator, and Physiological Monitoring System for Rodents
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Use of an Integrated Low-Flow Anesthetic Vaporizer, Ventilator, and Physiological Monitoring System for Rodents

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Adaptive pulse width control and sampling for low power pulse oximetry.

Sagar Venkatesh Gubbi, Bharadwaj Amrutur

    IEEE Transactions on Biomedical Circuits and Systems
    |July 12, 2014
    PubMed
    Summary

    This study introduces a power-optimized photoplethysmographic sensor for arterial oxygen saturation monitoring. Dynamic adaptation techniques significantly reduce power consumption in low-power sensors for remote healthcare applications.

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    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Sensor Design

    Background:

    • Remote sensing of physiological parameters offers cost-effective healthcare improvements.
    • Low-power sensors are crucial for energy-constrained remote sensing applications.
    • Arterial oxygen saturation monitoring is vital for patient health assessment.

    Purpose of the Study:

    • To present a power-optimized photoplethysmographic (PPG) sensor interface.
    • To introduce a technique for dynamically trading Signal-to-Noise Ratio (SNR) for power.
    • To develop a simple algorithm for optimizing sample acquisition in PPG.

    Main Methods:

    • Developed a power-optimized PPG sensor interface.
    • Implemented a dynamic SNR-for-power trade-off technique.
    • Designed a sample acquisition algorithm for PPG.
    • Built and tested a prototype pulse oximeter using COTS components on 10 adults.

    Main Results:

    • Dynamic adaptation techniques considerably reduced power consumption compared to a reference implementation.
    • The proposed approach demonstrated competitive performance against state-of-the-art implementations.
    • Prototype testing validated the effectiveness of the power-saving strategies.

    Conclusions:

    • The presented techniques significantly reduce power consumption in PPG sensor interfaces.
    • This approach is applicable to various low-power sensor designs where sample acquisition is power-intensive.
    • The findings contribute to the development of more efficient remote health monitoring systems.