Evidence map›Paper›PMID 35835946›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Multimodal Sensors with Decoupled Sensing Mechanisms.

Ruoxi Yang, Wanqing Zhang, Naveen Tiwari, Han Yan, Tiejun Li, Huanyu Cheng

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Designing PEDOT:PSS hydrogels for bioelectronic interfaces.Materials today (Kidlington, England) · 2026
    Article
  2. Article
  3. Geometry-Encoded Soft Strain Sensing via Liquid-Metal Transmission Lines.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Recent Advances in Decoupling Strategies for Soft Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

Ruoxi YangSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
Wanqing ZhangDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.
Naveen TiwariDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID 0000-0002-4252-3235
Han YanSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
Tiejun LiSchool of Mechanical Engineering, Hebei University of Technology, Tianjin, 300401, P. R. China.
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID 0000-0001-6075-4208

Funding

An automated portable system for detecting and treating opioid induced respiratory depressionU01DA056242 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG, MACKIE, KENNETH · 2022 to 2024
$3.8M
An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune diseaseDP2AI160242 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2020
$2.4M
Wearable, Graphene-based Flexible Sensors for Chronic Monitoring of Venous Thromboembolism for High-Risk PatientsR61HL154215 · NHLBI · ACTUATED MEDICAL, INC. · PI BAGWELL, ROGER BROOKS · 2020 to 2021
$787k
Smart skin grafts for quantitative assessment and treatment of diabetic woundsR21EB030140 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHENG, HUANYU · 2021 to 2021
$620k
Joint Doctoral Training FoundationNational Science Foundation ECCS-1933072NIAID NIH HHS DP2 AI160242NIDA NIH HHS U01 DA056242NIH HHS R21EB030140NIH HHS R61HL154215NIH HHS U01DA056242Penn State University
6 · The paper itself

Abstract

Highly sensitive and multimodal sensors have recently emerged for a wide range of applications, including epidermal electronics, robotics, health-monitoring devices and human-machine interfaces. However, cross-sensitivity prevents accurate measurements of the target input signals when a multiple of them are simultaneously present. Therefore, the selection of the multifunctional materials and the design of the sensor structures play a significant role in multimodal sensors with decoupled sensing mechanisms. Hence, this review article introduces varying methods to decouple different input signals for realizing truly multimodal sensors. Early efforts explore different outputs to distinguish the corresponding input signals applied to the sensor in sequence. Next, this study discusses the methods for the suppression of the interference, signal correction, and various decoupling strategies based on different outputs to simultaneously detect multiple inputs. The recent insights into the materials' properties, structure effects, and sensing mechanisms in recognition of different input signals are highlighted. The presence of the various decoupling methods also helps avoid the use of complicated signal processing steps and allows multimodal sensors with high accuracy for applications in bioelectronics, robotics, and human-machine interfaces. Finally, current challenges and potential opportunities are discussed in order to motivate future technological breakthroughs.

Indexed as

RoboticsWearable Electronic DevicesElectronicsHumansSignal Processing, Computer-Assistedcross-sensitivitydecoupling sensing mechanismsmultimodal sensorsmultiple input signals

Identifiers

PMID35835946
PMCPMC9475538

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.