Evidence map›Paper›PMID 35762812›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2022

Internet of Things for beyond-the-laboratory prosthetics research.

Hancong Wu, Matthew Dyson, Kianoush Nazarpour

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Preface to 'Advanced neurotechnologies: translating innovation for health and well-being'.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  4. Internet of Things for beyond-the-laboratory prosthetics research.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  5. 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

3 authors at 2 institutions in 1 country.

Hancong WuEdinburgh Neuroprosthetics Laboratory, School of Informatics, The University of Edinburgh, Edinburgh EH8 9AB, UK.ORCID 0000-0001-8411-1127
Matthew DysonIntelligent Sensing Laboratory, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
Kianoush NazarpourEdinburgh Neuroprosthetics Laboratory, School of Informatics, The University of Edinburgh, Edinburgh EH8 9AB, UK.ORCID 0000-0003-4217-0254
University of Edinburgh · GBNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on upper-limb prostheses is typically laboratory-based. Evidence indicates that research has not yet led to prostheses that meet user needs. Inefficient communication loops between users, clinicians and manufacturers limit the amount of quantitative and qualitative data that researchers can use in refining their innovations. This paper offers a first demonstration of an alternative paradigm by which remote, beyond-the-laboratory prosthesis research according to user needs is feasible. Specifically, the proposed Internet of Things setting allows remote data collection, real-time visualization and prosthesis reprogramming through Wi-Fi and a commercial cloud portal. Via a dashboard, the user can adjust the configuration of the device and append contextual information to the prosthetic data. We evaluated this demonstrator in real-time experiments with three able-bodied participants. Results promise the potential of contextual data collection and system update through the internet, which may provide real-life data for algorithm training and reduce the complexity of send-home trials. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.

Indexed as

Artificial LimbsInternet of ThingsAlgorithmsHumansInternetabstract decoderinternet of thingsmyoelectric controlNaive Bayes classifier

Identifiers

PMID35762812
PMCPMC9335889
OpenAlexW4281752568

What Socratic 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 Socratic graph.