Evidence map›Paper›PMID 31186936›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

SITAR: a system for independent task-oriented assessment and rehabilitation.

Asif Hussain, Sivakumar Balasubramanian, Nick Roach, Julius Klein, Nathanael Jarrassé, Michael Mace, Ann David, Sarah Guy, Etienne Burdet

Open access · diamondAbstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. 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
1.8field-weighted citation impact, top 16% 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, 15 citations in OpenAlex.

  1. Trial
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  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

9 authors at 4 institutions in 5 countries.

Asif Hussain1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Sivakumar Balasubramanian1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Nick Roach1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Julius Klein1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Nathanael Jarrassé1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Michael Mace1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Ann David3Department of Bioengineering, Christian Medical College, Vellore, India.
Sarah Guy1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Etienne Burdet1Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, UK.
Imperial College London · GBChristian Medical College & Hospital · INInstitut Systèmes Intelligents et de Robotique · FRTecnalia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOver recent years, task-oriented training has emerged as a dominant approach in neurorehabilitation. This article presents a novel, sensor-based system for independent task-oriented assessment and rehabilitation (SITAR) of the upper limb.

methodsThe SITAR is an ecosystem of interactive devices including a touch and force-sensitive tabletop and a set of intelligent objects enabling functional interaction. In contrast to most existing sensor-based systems, SITAR provides natural training of visuomotor coordination through collocated visual and haptic workspaces alongside multimodal feedback, facilitating learning and its transfer to real tasks. We illustrate the possibilities offered by the SITAR for sensorimotor assessment and therapy through pilot assessment and usability studies.

resultsThe pilot data from the assessment study demonstrates how the system can be used to assess different aspects of upper limb reaching, pick-and-place and sensory tactile resolution tasks. The pilot usability study indicates that patients are able to train arm-reaching movements independently using the SITAR with minimal involvement of the therapist and that they were motivated to pursue the SITAR-based therapy.

conclusionSITAR is a versatile, non-robotic tool that can be used to implement a range of therapeutic exercises and assessments for different types of patients, which is particularly well-suited for task-oriented training.

Indexed as

Assessmentintelligent sensingmotion analysis systemsneurorehabilitationoccupational therapyrehabilitation devicessmart systems (rehabilitation)stroke rehabilitationtherapy

Identifiers

PMID31186936
PMCPMC6453030
OpenAlexW2755428766

What OpenQuestion holds

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LicenceCC BY-NC
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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.