Evidence map›Paper›PMID 35754777›Full record

ArticleFrontiers in human neuroscience2022

A Wearable Mixed Reality Platform to Augment Overground Walking: A Feasibility Study.

Emily Evans, Megan Dass, William M Muter, Christopher Tuthill, Andrew Q Tan, Randy D Trumbower

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 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
–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

5 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

6 authors.

Emily EvansSpaulding Rehabilitation Hospital, Cambridge, MA, United States.
Megan DassGeorgia Institute of Technology, School of Computer Science, Atlanta, GA, United States.
William M MuterSpaulding Rehabilitation Hospital, Cambridge, MA, United States.
Christopher TuthillSpaulding Rehabilitation Hospital, Cambridge, MA, United States.
Andrew Q TanDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States.
Randy D TrumbowerSpaulding Rehabilitation Hospital, Cambridge, MA, United States.

Funding

Mechanisms of intermittent hypoxia-induced motor recovery in persons with SCIR01HD081274 · NICHD · SPAULDING REHABILITATION HOSPITAL · PI TRUMBOWER, RANDY D · 2014 to 2018
$2.4M
NICHD NIH HHS R01 HD081274
6 · The paper itself

Abstract

Humans routinely modify their walking speed to adapt to functional goals and physical demands. However, damage to the central nervous system (CNS) often results in abnormal modulation of walking speed and increased risk of falls. There is considerable interest in treatment modalities that can provide safe and salient training opportunities, feedback about walking performance, and that may augment less reliable sensory feedback within the CNS after injury or disease. Fully immersive virtual reality technologies show benefits in boosting training-related gains in walking performance; however, they lack views of the real world that may limit functional carryover. Augmented reality and mixed reality head-mount displays (MR-HMD) provide partially immersive environments to extend the virtual reality benefits of interacting with virtual objects but within an unobstructed view of the real world. Despite this potential advantage, the feasibility of using MR-HMD visual feedback to promote goal-directed changes in overground walking speed remains unclear. Thus, we developed and evaluated a novel mixed reality application using the Microsoft HoloLens MR-HMD that provided real-time walking speed targets and augmented visual feedback during overground walking. We tested the application in a group of adults not living with disability and examined if they could use the targets and visual feedback to walk at 85%, 100%, and 115% of each individual's self-selected speed. We examined whether individuals were able to meet each target gait speed and explored differences in accuracy across repeated trials and at the different speeds. Additionally, given the importance of task-specificity to therapeutic interventions, we examined if walking speed adjustment strategies were consistent with those observed during usual overground walking, and if walking with the MR-HMD resulted in increased variability in gait parameters. Overall, participants matched their overground walking speed to the target speed of the MR-HMD visual feedback conditions (all

Indexed as

kinematicsmixed realitymotor learning and controlrehabilitationvisual feedbackwalking

Identifiers

PMID35754777
PMCPMC9218429

What OpenQuestion holds

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Registered trials

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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.