Evidence map›Paper›PMID 32183338›Full record

SynthesisSensors (Basel, Switzerland)2020

Biofeedback Systems for Gait Rehabilitation of Individuals with Lower-Limb Amputation: A Systematic Review.

Rafael Escamilla-Nunez, Alexandria Michelini, Jan Andrysek

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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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.

Rafael Escamilla-NunezInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M4Y 1R5, Canada.
Alexandria MicheliniInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M4Y 1R5, Canada.ORCID 0000-0003-2875-2485
Jan AndrysekInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M4Y 1R5, Canada.ORCID 0000-0002-4976-1228

Funding

Natural Sciences and Engineering Research Council of Canada Discovery RGPIN 2018-05046
6 · The paper itself

Abstract

Individuals with lower-limb amputation often have gait deficits and diminished mobility function. Biofeedback systems have the potential to improve gait rehabilitation outcomes. Research on biofeedback has steadily increased in recent decades, representing the growing interest toward this topic. This systematic review highlights the methodological designs, main technical and clinical challenges, and evidence relating to the effectiveness of biofeedback systems for gait rehabilitation. This review provides insights for developing an effective, robust, and user-friendly wearable biofeedback system. The literature search was conducted on six databases and 31 full-text articles were included in this review. Most studies found biofeedback to be effective in improving gait. Biofeedback was most commonly concurrently provided and related to limb loading and symmetry ratios for stance or step time. Visual feedback was the most used modality, followed by auditory and haptic. Biofeedback must not be obtrusive and ideally provide a level of enjoyment to the user. Biofeedback appears to be most effective during the early stages of rehabilitation but presents some usability challenges when applied to the elderly. More research is needed on younger populations and higher amputation levels, understanding retention as well as the relationship between training intensity and performance.

Indexed as

AdultAmputation, SurgicalAmputeesFeedback, SensoryFemaleGaitHumansLocomotionLower ExtremityMaleMiddle AgedProstheses and ImplantsRehabilitationTreatment OutcomeWearable Electronic Devicesamputeebiofeedbackgaitlocomotionlower-limb amputationprosthesisreal-time feedbackrehabilitationsensory feedbackwearable systems

Identifiers

PMID32183338
PMCPMC7146745

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.