Evidence map›Paper›PMID 37297066›Full record

ReviewMaterials (Basel, Switzerland)2023

Carbon-Based Textile Sensors for Physiological-Signal Monitoring.

Wancheng Shao, Tianrui Cui, Ding Li, Jinming Jian, Zhen Li, Shourui Ji, Aobo Cheng, Xinyue Li, Kaiyin Liu, Houfang Liu and 2 more

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

12 authors at 1 institution in 1 country.

Wancheng ShaoSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.ORCID 0009-0000-2929-4936
Tianrui CuiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-2425-5924
Ding LiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-5552-3920
Jinming JianSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Zhen LiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Shourui JiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Aobo ChengSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Xinyue LiSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Kaiyin LiuSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Houfang LiuBeijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
Yi YangSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Tianling RenSchool of Integrated Circuit, Tsinghua University, Beijing 100084, China.
Tsinghua University · CN

Funding

Guoqiang Institute, Tsinghua University No grant numberJCCDFSIT 2022CDF003National Key R&D Program of China 2021YFC3002200, 2022YFB3204100National Natural Science Foundation of China U20A20168, 51861145202, 61874065
6 · The paper itself

Abstract

As the focus on physical health increases, the market demand for flexible wearable sensors increases. Textiles combined with sensitive materials and electronic circuits can form flexible, breathable high-performance sensors for physiological-signal monitoring. Carbon-based materials such as graphene, carbon nanotubes (CNTs), and carbon black (CB) have been widely utilized in the development of flexible wearable sensors due to their high electrical conductivity, low toxicity, low mass density, and easy functionalization. This review provides an overview of recent advancements in carbon-based flexible textile sensors, highlighting the development, properties, and applications of graphene, CNTs, and CB for flexible textile sensors. The physiological signals that can be monitored by carbon-based textile sensors include electrocardiogram (ECG), human body movement, pulse and respiration, body temperature, and tactile perception. We categorize and describe carbon-based textile sensors based on the physiological signals they monitor. Finally, we discuss the current challenges associated with carbon-based textile sensors and explore the future direction of textile sensors for monitoring physiological signals.

Indexed as

carbon-based materialsphysiological-signal monitoringtextile sensors

Identifiers

PMID37297066
PMCPMC10253857
OpenAlexW4378227597

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.