Evidence map›Paper›PMID 25745391›Full record

ArticleFrontiers in human neuroscience2015

A robot hand testbed designed for enhancing embodiment and functional neurorehabilitation of body schema in subjects with upper limb impairment or loss.

Randall B Hellman, Eric Chang, Justin Tanner, Stephen I Helms Tillery, Veronica J Santos

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Toward Enhanced Teleoperation Through Embodiment.Frontiers in robotics and AI · 2020
    Article
  9. Article
  10. Article
  11. 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

5 authors at 2 institutions in 1 country.

Randall B HellmanBiomechatronics Laboratory, Department of Mechanical and Aerospace Engineering, Arizona State University , Tempe, AZ , USA ; Biomechatronics Laboratory, Department of Mechanical and Aerospace Engineering, University of California Los Angeles , Los Angeles, CA , USA.
Eric ChangBiomechatronics Laboratory, Department of Mechanical and Aerospace Engineering, Arizona State University , Tempe, AZ , USA.
Justin TannerSensoriMotor Research Group, School of Biological and Health Systems Engineering, Arizona State University , Tempe, AZ , USA.
Stephen I Helms TillerySensoriMotor Research Group, School of Biological and Health Systems Engineering, Arizona State University , Tempe, AZ , USA.
Veronica J SantosBiomechatronics Laboratory, Department of Mechanical and Aerospace Engineering, Arizona State University , Tempe, AZ , USA ; Biomechatronics Laboratory, Department of Mechanical and Aerospace Engineering, University of California Los Angeles , Los Angeles, CA , USA.
Arizona State University · USUniversity of California, Los Angeles · US

Funding

The adaptability of cortex in learning modified control algorithms for neuroprostR01NS063372 · NINDS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI HELMS TILLERY, STEPHEN I. · 2008 to 2011
$1.2M
NINDS NIH HHS R01 NS063372
6 · The paper itself

Abstract

Many upper limb amputees experience an incessant, post-amputation "phantom limb pain" and report that their missing limbs feel paralyzed in an uncomfortable posture. One hypothesis is that efferent commands no longer generate expected afferent signals, such as proprioceptive feedback from changes in limb configuration, and that the mismatch of motor commands and visual feedback is interpreted as pain. Non-invasive therapeutic techniques for treating phantom limb pain, such as mirror visual feedback (MVF), rely on visualizations of postural changes. Advances in neural interfaces for artificial sensory feedback now make it possible to combine MVF with a high-tech "rubber hand" illusion, in which subjects develop a sense of embodiment with a fake hand when subjected to congruent visual and somatosensory feedback. We discuss clinical benefits that could arise from the confluence of known concepts such as MVF and the rubber hand illusion, and new technologies such as neural interfaces for sensory feedback and highly sensorized robot hand testbeds, such as the "BairClaw" presented here. Our multi-articulating, anthropomorphic robot testbed can be used to study proprioceptive and tactile sensory stimuli during physical finger-object interactions. Conceived for artificial grasp, manipulation, and haptic exploration, the BairClaw could also be used for future studies on the neurorehabilitation of somatosensory disorders due to upper limb impairment or loss. A remote actuation system enables the modular control of tendon-driven hands. The artificial proprioception system enables direct measurement of joint angles and tendon tensions while temperature, vibration, and skin deformation are provided by a multimodal tactile sensor. The provision of multimodal sensory feedback that is spatiotemporally consistent with commanded actions could lead to benefits such as reduced phantom limb pain, and increased prosthesis use due to improved functionality and reduced cognitive burden.

Indexed as

amputeebody schemaembodimenthandneurorehabilitationphantom limb painroboticupper limb

Identifiers

PMID25745391
PMCPMC4333840
OpenAlexW1990086936

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.