Cited by 609Soft Robotics and ApplicationsNeuroscience and Neural EngineeringAdvanced Sensor and Energy Harvesting Materials

The DOI matches its Crossref record; 616 of the 616 references it cites were found in a registry or an index; 231 of the 600 sources its claims cite were checked for support.

Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics

Open access
Heng, Wenzheng, Solomon, Samuel, Gao, Wei·2022·Advanced Materials

Abstract

Medical robots are invaluable players in non-pharmaceutical treatment of disabilities. Particularly, using prosthetic and rehabilitation devices with human-machine interfaces can greatly improve the quality of life for impaired patients. In recent years, flexible electronic interfaces and soft robotics have attracted tremendous attention in this field due to their high biocompatibility, functionality, conformability, and low-cost. Flexible human-machine interfaces on soft robotics will make a promising alternative to conventional rigid devices, which can potentially revolutionize the paradigm and future direction of medical robotics in terms of rehabilitation feedback and user experience. In this review, the fundamental components of the materials, structures, and mechanisms in flexible human-machine interfaces are summarized by recent and renowned applications in five primary areas: physical and chemical sensing, physiological recording, information processing and communication, soft robotic actuation, and feedback stimulation. This review further concludes by discussing the outlook and current challenges of these technologies as a human-machine interface in medical robotics.

Overview

Integrity signals

Registry

Crossref · 10.1002/adma.202107902

Cites

616 of 616 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

141 No full text of the sources · 87 Partly supported · 85 Own interpretation · 82 No basis given · 22 Couldn’t confirm · 19 Supported so far · 16 Supported · 8 Sources not found · 8 Not checked yet · 4 Not supported · 3 Mixed support · 1 Own result · accuracy not yet measured

  • It may state two separate claims as one. 191
  • Probably not a substantial claim. 137
  • The quote only partly states this claim. 1
284 of 284
  • The paper relies on this without support.

    E-skin can capture thermal, humidity, physiological, chemical, and tactile sensations better than human skin while maintaining high spatiotemporal resolution under varying strain.

    “Now the base of many wearable devices, e-skin has been shown to outperformed human skin in capturing thermal, humidity, physiological, various chemical, and tactile sensations while maintaining a high spatiotemporal resolution under varying degrees of strain.”
  • The paper relies on this without support.

    Recording multimodal chemical, temperature, and pressure signals can drain power and electrically interfere with sensor reading accuracy.

    “Unfortunately, recording these multimodal chemical, temperature, and pressure signals can drain power and electrically interfere with the accuracy of sensor readings.”
  • The paper relies on this without support.

    The inherent limitation of wearable robotics is that electronics are not recognized as an extension of the human body, causing high cognitive effort for the user to control.

    “At its core, the inherent limitation of wearable robotics is that the electronics are not recognized as an extension of the human body, resulting in a high cognitive effort for the user to control.”
  • The paper relies on this without support.

    Most existing commercial prostheses lack sensory capabilities, preventing amputees from actively and passively perceiving external information and diminishing the user's ownership of the prosthesis.

    “Most existing commercial prostheses lack sensory capabilities and prevent amputees from actively and passively perceiving external information, which dramatically diminishing the user's ownership of the prosthesis.”
  • The paper relies on this without support.

    Integrating e-skins may limit their sensing performance.

    “However, integrating e-skins may limit their sensing performance.”
  • The authors state this as an assumption.

    The user's intentions can be extracted from the activation of the remnant muscles.

    “The exploration of electromyography for prosthesis control is based on the assumption that the user’s intentions can be extracted from the activation of the remnant muscles.[364,365]”
  • The paper relies on this without support.

    Electrical signals are the predominant form of nerve excitation in the human body.

    “Electrical signals are the predominant form of nerve excitation propagating in the human body.”
7 of 7

Citations

Cites

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Research works printed but not linked: 27

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Cited by

Sorted by citations

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Metadata

Authors
Heng, W., Solomon, S., & Gao, W.
Affiliations
California Institute of Technology (US)
Corresponding author
Gao, Wei
Venue
Advanced Materials
Publisher
Wiley
Published
2022-02-25
Volume
34
Issue
16
Pages
e2107902-e2107902
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W4200567725
Cited by
609
References
615
Citations by year
2026: 113 · 2025: 156 · 2024: 165 · 2023: 133 · 2022: 42
FWCI
7.19
Type
journal article
Language
en
Open access
Locations
  • Advanced Materials (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
Funders
  • National Institutes of Health (R01HL155815)
  • Office of Naval Research (N00014‐21‐1‐2483, N00014‐21‐1‐2845)
  • National Aeronautics and Space Administration (NNX16AO69A)
  • California Institute of Technology
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
flexible electronics, human-machine interaction, medical robotics, soft robotics, prosthetics, rehabilitation devices, biomaterials, physiological sensing, physiological recording
MeSH terms
Electronics, Humans, Quality of Life, Robotics

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