Evidence map›Paper›PMID 38352631›Full record

ArticleComputational and structural biotechnology journal2024

Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living.

Harris Nisar, Srikar Annamraju, Shankar A Deka, Anne Horowitz, Dušan M Stipanović

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 2 countries.

Harris NisarHealth Care Engineering Systems Center, University of Illinois Urbana Champaign, 1206 W Clark St, Urbana 61801, IL, USA.
Srikar AnnamrajuCoordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA.
Shankar A DekaDivision of Decision and Control Systems at KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden.
Anne HorowitzOutpatient Rehabilitation, OSF Healthcare Saint Francis Medical Center, 6501 N Sheridan Rd, Peoria, IL, USA.
Dušan M StipanovićCoordinated Science Laboratory, University of Illinois Urbana Champaign, 1308 W Main St, Urbana 61801, IL, USA.
University of Illinois Urbana-Champaign · USKTH Royal Institute of Technology · SEOSF Saint Francis Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mirror therapy is a standard technique of rehabilitation for recovering motor and vision abilities of stroke patients, especially in the case of asymmetric limb function. To enhance traditional mirror therapy, robotic mirror therapy (RMT) has been proposed over the past decade, allowing for assisted bimanual coordination of paretic (affected) and contralateral (healthy) limbs. However, state-of-the-art RMT platforms predominantly target mirrored motions of trajectories, largely limited to 2-D motions. In this paper, an RMT platform is proposed, which can facilitate the patient to practice virtual activities of daily living (ADL) and thus enhance their independence. Two similar (but mirrored) 3D virtual environments are created in which the patients operate robots with both their limbs to complete ADL (such as writing and eating) with the assistance of the therapist. The recovery level of the patient is continuously assessed by monitoring their ability to track assigned trajectories. The patient's robots are programmed to assist the patient in following these trajectories based on this recovery level. In this paper, the framework to dynamically monitor recovery level and accordingly provide assistance is developed along with the nonlinear controller design to ensure position tracking, force control, and stability. Proof-of-concept studies are conducted with both 3D trajectory tracking and ADL. The results demonstrate the potential use of the proposed system to enhance the recovery of the patients.

Indexed as

Force feedbackMirror therapyNonlinear controlPatient recoveryRehabilitationRobotic assistance

Identifiers

PMID38352631
PMCPMC10862404
OpenAlexW4391256960

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.