Evidence map›Paper›PMID 35208378›Full record

ReviewMicromachines2022

Wearable Multi-Functional Sensing Technology for Healthcare Smart Detection.

Xu Zeng, Hai-Tao Deng, Dan-Liang Wen, Yao-Yao Li, Li Xu, Xiao-Sheng Zhang

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Advanced Piezoelectric Materials, Devices, and Systems for Orthopedic Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Review
  5. Article
  6. Wearable Sensors for Respiration Monitoring: A Review.Sensors (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
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.

Xu ZengSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Hai-Tao DengSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Dan-Liang WenSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Yao-Yao LiSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Li XuRehabilitation Department, Sichuan Provincial People's Hospital, Chengdu 610072, China.
Xiao-Sheng ZhangSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-9719-0573

Funding

National Natural Science Foundation of China No. 62074029, No. 61804023, No. 61971108
6 · The paper itself

Abstract

In recent years, considerable research efforts have been devoted to the development of wearable multi-functional sensing technology to fulfill the requirements of healthcare smart detection, and much progress has been achieved. Due to the appealing characteristics of flexibility, stretchability and long-term stability, the sensors have been used in a wide range of applications, such as respiration monitoring, pulse wave detection, gait pattern analysis, etc. Wearable sensors based on single mechanisms are usually capable of sensing only one physiological or motion signal. In order to measure, record and analyze comprehensive physical conditions, it is indispensable to explore the wearable sensors based on hybrid mechanisms and realize the integration of multiple smart functions. Herein, we have summarized various working mechanisms (resistive, capacitive, triboelectric, piezoelectric, thermo-electric, pyroelectric) and hybrid mechanisms that are incorporated into wearable sensors. More importantly, to make wearable sensors work persistently, it is meaningful to combine flexible power units and wearable sensors and form a self-powered system. This article also emphasizes the utility of self-powered wearable sensors from the perspective of mechanisms, and gives applications. Furthermore, we discuss the emerging materials and structures that are applied to achieve high sensitivity. In the end, we present perspectives on the outlooks of wearable multi-functional sensing technology.

Indexed as

health monitoringmulti-functional sensorsself-powered microsystemssensing mechanismswearable electronics

Identifiers

PMID35208378
PMCPMC8874439

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.