Evidence map›Paper›PMID 33905321›Full record

ArticleIEEE transactions on bio-medical engineering2021

Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic Surgery.

Qiangqiang Ouyang, Juan Wu, Songping Sun, Jake Pensa, Ahmad Abiri, Erik Dutson, James Bisley

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Tactile Feedback in Robot-Assisted Minimally Invasive Surgery: A Systematic Review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024
    Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Palpation sensing for robotic-assisted surgery.Orthopadie (Heidelberg, Germany) · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. 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

7 authors.

Qiangqiang Ouyang
Juan Wu
Songping Sun
Jake Pensa
Ahmad Abiri
Erik Dutson
James Bisley

Funding

Neural processing in covert attentionR01EY027968 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BISLEY, JAMES · 2018 to 2021
$2.0M
Haptic Feedback for Robotic Surgery using bi-axial capacitive force sensorsR01EB019473 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUTSON, ERIK, GRUNDFEST, WARREN S · 2014 to 2017
$1.3M
NEI NIH HHS R01 EY027968NIBIB NIH HHS R01 EB019473
6 · The paper itself

Abstract

Adding haptic feedback has been reported to improve the outcome of minimally invasive robotic surgery. In this study, we seek to determine whether an algorithm based on simulating responses of a cutaneous afferent population can be implemented to improve the performance of presenting haptic feedback for robot-assisted surgery. We propose a bio-inspired controlling model to present vibration and force feedback to help surgeons localize underlying structures in phantom tissue. A single pair of actuators was controlled by outputs of a model of a population of cutaneous afferents based on the pressure signal from a single sensor embedded in surgical forceps. We recruited 25 subjects including 10 expert surgeons to evaluate the performance of the bio-inspired controlling model in an artificial palpation task using the da Vinci surgical robot. Among the control methods tested, the bio-inspired system was unique in allowing both novices and experts to easily identify the locations of all classes of tumors and did so with reduced contact force and tumor contact time. This work demonstrates the utility of our bio-inspired multi-modal feedback system, which resulted in superior performance for both novice and professional users, in comparison to a traditional linear and the existing piecewise discrete algorithms of haptic feedback.

Indexed as

RoboticsRobotic Surgical ProceduresFeedbackHumansMinimally Invasive Surgical ProceduresPalpation

Identifiers

PMID33905321
PMCPMC8486347

What OpenQuestion holds

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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.