Evidence map›Paper›PMID 37508864›Full record

ArticleBioengineering (Basel, Switzerland)2023

Numerical Modeling and Simulation of Non-Invasive Acupuncture Therapy Utilizing Near-Infrared Light-Emitting Diode.

Sundeep Singh, Andres Escobar, Zexi Wang, Zhiyi Zhang, Chundra Ramful, Chang-Qing Xu

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Sundeep SinghFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada.ORCID 0000-0002-8342-1622
Andres EscobarDepartment of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.
Zexi WangDepartment of Engineering Physics, McMaster University, Hamilton, ON L8S 4L8, Canada.
Zhiyi ZhangAdvanced Electronics and Photonics Research Center, National Research Council Canada, Ottawa, ON K1A 0R6, Canada.
Chundra RamfulAdvanced Electronics and Photonics Research Center, National Research Council Canada, Ottawa, ON K1A 0R6, Canada.
Chang-Qing XuDepartment of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.
McMaster University · CANational Research Council Canada · CAUniversity of Prince Edward Island · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acupuncture is one of the most extensively used complementary and alternative medicine therapies worldwide. In this study, we explore the use of near-infrared light-emitting diodes (LEDs) to provide acupuncture-like physical stimulus to the skin tissue, but in a completely non-invasive way. A computational modeling framework has been developed to investigate the light-tissue interaction within a three-dimensional multi-layer model of skin tissue. Finite element-based analysis has been conducted, to obtain the spatiotemporal temperature distribution within the skin tissue, by solving Pennes' bioheat transfer equation, coupled with the Beer-Lambert law. The irradiation profile of the LED has been experimentally characterized and imposed in the numerical model. The experimental validation of the developed model has been conducted through comparing the numerical model predictions with those obtained experimentally on the agar phantom. The effects of the LED power, treatment duration, LED distance from the skin surface, and usage of multiple LEDs on the temperature distribution attained within the skin tissue have been systematically investigated, highlighting the safe operating power of the selected LEDs. The presented information about the spatiotemporal temperature distribution, and critical factors affecting it, would assist in better optimizing the desired thermal dosage, thereby enabling a safe and effective LED-based photothermal therapy.

Indexed as

acupointsacupuncturebio-heat transfercomputational modelinglight-tissue interactionphotothermal effectthermal therapy

Identifiers

PMID37508864
PMCPMC10376585
OpenAlexW4384558150

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.