Evidence map›Paper›PMID 33899051›Full record

ArticleIEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference2017

Targeted Transcutaneous Electrical Nerve Stimulation for Phantom Limb Sensory Feedback.

Luke Osborn, Matthew Fifer, Courtney Moran, Joseph Betthauser, Robert Armiger, Rahul Kaliki, Nitish Thakor

Open access · greenAbstract read
In one paragraph

Article in IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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 at 4 institutions in 2 countries.

Luke OsbornDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA.
Matthew FiferResearch and Exploratory Development Department, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723 USA.
Courtney MoranResearch and Exploratory Development Department, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723 USA.
Joseph BetthauserDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218 USA.
Robert ArmigerResearch and Exploratory Development Department, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723 USA.
Rahul KalikiInfinite Biomedical Technologies, Baltimore, MD 21218 USA.
Nitish ThakorDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205 USA.
Johns Hopkins University Applied Physics Laboratory · USJohns Hopkins University · USInfinite Biomedical Technologies (United States) · USJohns Hopkins Medicine · US

Funding

A Patient-Driven Rehabilitation System to Improve Upper Limb Amputee OutcomesR44HD072668 · NICHD · INFINITE BIOMEDICAL TECHNOLOGIES, LLC · PI KALIKI, RAHUL REDDY, MIGUELEZ, JOHN M · 2014 to 2015
$1.5M
NICHD NIH HHS R44 HD072668
6 · The paper itself

Abstract

In this work, we investigated the use of noninvasive, targeted transcutaneous electrical nerve stimulation (TENS) of peripheral nerves to provide sensory feedback to two amputees, one with targeted sensory reinnervation (TSR) and one without TSR. A major step in developing a closed-loop prosthesis is providing the sense of touch back to the amputee user. We investigated the effect of targeted nerve stimulation amplitude, pulse width, and frequency on stimulation perception. We discovered that both subjects were able to reliably detect stimulation patterns with pulses less than 1 ms. We utilized the psychophysical results to produce a subject specific stimulation pattern using a leaky integrate and fire (LIF) neuron model from force sensors on a prosthetic hand during a grasping task. For the first time, we show that TENS is able to provide graded sensory feedback at multiple sites in both TSR and non-TSR amputees while using behavioral results to tune a neuromorphic stimulation pattern driven by a force sensor output from a prosthetic hand.

Identifiers

PMID33899051
PMCPMC8068407
OpenAlexW2794801783

What OpenQuestion holds

Textmetadata
LicenceTDM
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.