Evidence map›Paper›PMID 42187459›Full record

ArticleBiosensors2026

Wearable Dual-Mode Biosensing System for Dynamic Light Dosimetry in Tissues.

Jun Wei, Lansixu Ma, Wenxuan Li, Peng Xu, Yizhen Wang, Feifan Zhou, Fuhong Cai

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jun WeiSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Lansixu MaSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Wenxuan LiSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Peng XuSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Yizhen WangSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Feifan ZhouSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.
Fuhong CaiSanya Research Institute, School of Biomedical Engineering, Hainan University, Sanya 572024, China.

Funding

Hainan Provincial Sanya Yazhou Bay Science and Technology Innovation Joint Project ZDYF2025GXJS136National Innovation and Entrepreneurship Training Program for College Undergraduates 202510589080National Natural Science Foundation of China 62465009
6 · The paper itself

Abstract

Phototherapy is a physical treatment modality that utilizes natural or artificial light sources and harnesses radiant energy to treat diseases. Dynamic monitoring of the actual light dose received by tissues is crucial to the success of phototherapy. However, most current phototherapy devices feature bulky and complex hardware and depend on fixed parameters or surface measurements for dose estimation, failing to provide precise, real-time monitoring of light dose distribution that is tailored to individual users, specific treatment sessions, and different body regions. Furthermore, most of these devices are incapable of generating tunable and stable LED light. This study presents a preliminary diffusion equation-based proof-of-concept for a wearable, integrated dual-mode sensing system for real-time dynamic monitoring of tissue light dose and temperature change. The system, controlled by a single-chip microcontroller, rapidly extracts key tissue optical parameters via a custom multi-wavelength LED optical probe and provides real-time feedback on light dose distribution through a dynamic tissue optical simulation model. To expand the monitoring dimensions, the system innovatively integrates a thermal sensor. This sensor enables synchronous monitoring of the temperature field in the treatment area, thereby allowing for an estimation of the combined photothermal effect. The system features a compact design, user-friendly operation, fast and stable communication, and repeatable and reliable detection. With promising clinical application prospects, it holds the potential to evolve into a portable, home-use, safe, effective, wearable, and cost-effective phototherapy device.

Indexed as

Biosensing TechniquesRadiometryWearable Electronic DevicesHumansLightPhototherapyTemperaturelight dosephototherapytemperature field distributionwearable sensing system

Identifiers

PMID42187459
PMCPMC13204419

What OpenQuestion holds

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LicenceCC BY
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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.