Evidence map›Paper›PMID 38068172›Full record

ReviewMaterials (Basel, Switzerland)2023

Advances in Fiber-Based Wearable Sensors for Personal Digital Health Monitoring.

Jingge Liu, Junze Zhang, Jing Liu, Weiwei Sun, Weiqiang Li, Hongqiang Shen, Lingxiao Wang, Gang Li

Open access · goldAbstract readReview
In one paragraph

Review in Materials (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
2.0field-weighted citation impact, top 14% 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, 18 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

8 authors at 3 institutions in 3 countries.

Jingge LiuNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.
Junze ZhangNanotechnology Center, Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong.
Jing LiuDepartment of Materials, University of Manchester, Manchester M13 9PL, UK.
Weiwei SunNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.
Weiqiang LiNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.
Hongqiang ShenNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.
Lingxiao WangNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.
Gang LiNational Engineering Laboratory for Modern Silk, Soochow University, Suzhou 215123, China.ORCID 0000-0002-8080-4134
Soochow University · CNUniversity of Manchester · GBHong Kong Polytechnic University · HK

Funding

China National Textile and Apparel Council J202002Jiangsu Provincial Department of Science and Technology BZ2022017Ministry of Science and Technology of China KY202201002National Key R&D Program of China 2021YFE0111100National Natural Science Foundation of China 82374295Science and Technology Partnership Program by the Ministry of Science and Technology of China KY202201002
6 · The paper itself

Abstract

With the continuous growth of the global economy, an increasing concern has emerged among individuals with regard to personal digital health. Smart fiber-based sensors meet people's demands for wearable devices with the advantages of excellent skin-friendliness and breathability, enabling efficient and prompt monitoring of personal digital health signals in daily life. Furthermore, by integrating machine learning and big data analysis techniques, a closed-loop system can be established for personal digital health, covering data collection, data analysis, as well as medical diagnosis and treatment. Herein, we provide a review of the recent research progress on fiber-based wearable sensors for personal digital health. Firstly, a brief introduction is provided to demonstrate the importance of fiber-based wearable sensors in personal digital health. Then, the monitoring of biophysical signals through fiber-based sensors is described, and they are classified based on different sensing principles in biophysical signal monitoring (resistive, capacitive, piezoelectric, triboelectric, magnetoelastic, and thermoelectric). After that, the fiber-based biochemical signal sensors are described through the classification of monitoring targets (biofluids and respiratory gases). Finally, a summary is presented on the application prospects and the prevailing challenges of fiber-based sensors, aiming to implement their future role in constructing personal digital health networks.

Indexed as

biochemical signalbiophysical signalfiber-based sensorpersonal digital healthwearable sensors

Identifiers

PMID38068172
PMCPMC10707104
OpenAlexW4389132166

What Socratic 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 Socratic graph.