Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

RETRACTION: An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Image Risk Assessment of the Thyroid Cancer Model Based on Discriminant Analysis and the Value of TAP and CEA Combined Detection.

Journal of healthcare engineering·2026
Same journal

RETRACTION: Meta-Analysis of the Prognostic Value of Narcotrend Monitoring of Different Depths of Anesthesia and Different Bispectral Index (BIS) Values for Cognitive Dysfunction after Tumor Surgery in Elderly Patients.

Journal of healthcare engineering·2026
Same journal

Correction to "Representation of Differential Learning Method for Mitosis Detection".

Journal of healthcare engineering·2026

Related Experiment Video

Updated: Jan 19, 2026

Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal
07:24

Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal

Published on: September 12, 2025

468

Optimization of LED Lighting for Clinical Settings.

Snjezana Soltic1, Andrew Chalmers2

  • 1Professional Engineering, Manukau Institute of Technology, Manukau 2241, New Zealand.

Journal of Healthcare Engineering
|September 20, 2019
PubMed
Summary
This summary is machine-generated.

New LED lighting can improve clinical settings by meeting the Cyanosis Observation Index (COI) requirements. This technology also supports human-centric lighting (HCL) principles for better environments.

More Related Videos

Optimizing Photoneuromodulation Techniques to Evaluate the Role of Green Light-Emitting Diodes in Pain Management
09:03

Optimizing Photoneuromodulation Techniques to Evaluate the Role of Green Light-Emitting Diodes in Pain Management

Published on: March 28, 2025

1.1K
Building a Simple and Versatile Illumination System for Optogenetic Experiments
06:41

Building a Simple and Versatile Illumination System for Optogenetic Experiments

Published on: January 12, 2021

4.3K

Related Experiment Videos

Last Updated: Jan 19, 2026

Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal
07:24

Development of an Innovative LED-based Illumination Device for In Vitro Application of Photodynamic Therapy with Rose Bengal

Published on: September 12, 2025

468
Optimizing Photoneuromodulation Techniques to Evaluate the Role of Green Light-Emitting Diodes in Pain Management
09:03

Optimizing Photoneuromodulation Techniques to Evaluate the Role of Green Light-Emitting Diodes in Pain Management

Published on: March 28, 2025

1.1K
Building a Simple and Versatile Illumination System for Optogenetic Experiments
06:41

Building a Simple and Versatile Illumination System for Optogenetic Experiments

Published on: January 12, 2021

4.3K

Area of Science:

  • Lighting technology
  • Optical engineering
  • Clinical applications

Background:

  • Light-emitting diodes (LEDs) have advanced lighting efficiency and color properties.
  • Human-centric lighting (HCL) concepts are increasingly important in modern lighting design.
  • Specific spectral qualities of light can enhance clinical environments.

Purpose of the Study:

  • To design a mixed LED light source with enhanced clinical attributes.
  • To meet the spectral requirements of the Cyanosis Observation Index (COI).
  • To align with human-centric lighting (HCL) performance criteria.

Main Methods:

  • Utilized a differential evolution (DE) algorithm for spectral design.
  • Developed a mixed LED light source.
  • Evaluated the light source against COI and HCL standards.

Main Results:

  • Successfully designed an LED spectrum meeting COI requirements.
  • The designed spectrum also adheres to HCL performance criteria.
  • Demonstrated the feasibility of creating clinically enhanced lighting environments.

Conclusions:

  • LED spectral design can achieve enhanced clinical attributes beyond standard HCL.
  • The COI provides a quantifiable metric for clinical lighting quality.
  • DE algorithms are effective tools for optimizing LED spectra for specific applications.