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Related Concept Videos

Phasors01:12

Phasors

1.2K
Phasors are a powerful mathematical tool used to analyze alternating current (AC) circuits. They provide a complex number representation of sinusoids, with the magnitude of the phasor equating to the amplitude of the sinusoid and the angle of the phasor representing the phase measured from the positive x-axis.
One of the significant benefits of using phasors is that they simplify the analysis of AC circuits by eliminating the time dependence of the current and voltage. This transformation...
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Phasor Arithmetics01:13

Phasor Arithmetics

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Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
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Kirchoff's Laws using Phasors01:12

Kirchoff's Laws using Phasors

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Analyzing AC circuits in electrical systems is a fundamental aspect of electrical engineering. In these circuits, AC power is supplied from a distribution panel and wired to various household appliances in parallel. To perform a comprehensive analysis, electrical engineers use Kirchhoff's voltage and current laws, which are equally applicable in AC circuits as in DC circuits.
Kirchhoff's voltage law (KVL) states that the sum of phasor voltages around a closed loop in an AC circuit equals zero....
863
Nursing Assessment of the Genitourinary System I: Health History01:21

Nursing Assessment of the Genitourinary System I: Health History

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The genitourinary system is critical to maintaining fluid balance, waste elimination, and reproductive function. Nurses play a vital role in assessing this system, beginning with a thorough health history. This process involves gathering patient information, identifying risk factors, and recognizing symptoms of genitourinary disorders. Early detection is vital for timely interventions and management.1. Gathering Patient InformationA complete health history includes the patient’s personal,...
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Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

508
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
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Phasor Relationships for Circuit Elements01:16

Phasor Relationships for Circuit Elements

1.0K
Phasor representation is a powerful tool used to transform the voltage-current relationship for resistors, inductors, and capacitors from the time domain to the frequency domain. This transformation simplifies the analysis of alternating current (AC) circuits.
In the time domain, Ohm's law provides a fundamental relation between the current flowing through a resistor and the voltage across it:
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Updated: Feb 14, 2026

A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
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Comprehensive and Region-Specific Retinal Health Assessment Using Phasor Analysis of Multispectral Images and Machine

Armin Eskandarinasab1, Laura Rey-Barroso1, Francisco J Burgos-Fernández1

  • 1Center for Sensors, Instruments and Systems Development (CD6), Universitat Politècnica de Catalunya (UPC), Rambla Sant Nebridi 10, 08222 Terrassa, Spain.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

Phasor analysis of multispectral retinal images effectively distinguishes healthy from diseased eyes. This method, combined with machine learning, offers superior accuracy compared to traditional imaging for retinal disease classification.

Keywords:
machine learningmultispectral imagingphasor analysisretinal disease classification

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Machine Learning

Background:

  • Distinguishing healthy from diseased retinas is crucial for early diagnosis and treatment.
  • Multispectral imaging (MSI) offers rich spectral information beyond conventional methods.
  • Machine learning (ML) algorithms show promise in analyzing complex medical data.

Purpose of the Study:

  • To evaluate the efficacy of phasor analysis on MSI data for classifying retinal health.
  • To compare MSI-based phasor analysis with RGB image analysis for retinal disease detection.
  • To identify optimal parameters for phasor analysis in retinal imaging.

Main Methods:

  • Multispectral imaging data of retinas were acquired.
  • Phasor analysis was applied to MSI data for feature extraction.
  • Machine learning classifiers were trained and tested using extracted features.
  • Conventional RGB images were generated from MSI data for comparative analysis.

Main Results:

  • Phasor analysis of MSI data significantly outperformed average reflectance values in classification.
  • The first harmonic of phasor analysis, with Z-score normalization, yielded optimal classification performance.
  • Phasor analysis of MSI data achieved higher accuracy than phasor analysis of RGB-like images.
  • Utilizing the entire retina for analysis provided the best classification results.

Conclusions:

  • Phasor analysis is a powerful dimensionality reduction technique for MSI data in retinal applications.
  • MSI-based phasor analysis combined with ML offers a robust approach for retinal disease classification.
  • This technique holds potential for improved diagnostic tools in ophthalmology.