Evidence map›Paper›PMID 37447845›Full record

ArticleSensors (Basel, Switzerland)2023

Evaluating Gait Stability and Muscle Activation in Different Hand Holding Conditions Using the Robotic Walker-mTPAD.

Malka Jacobs, Danielle Marie Stramel, Mayyada Shair, Sunil K Agrawal

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 92% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Functions and Sensors of Smart Walkers From 2015 to 2024: Scoping Review.JMIR rehabilitation and assistive technologies · 2026
    Review
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

4 authors at 4 institutions in 1 country.

Malka JacobsDepartment of Biomedical Engineering, The City College of New York, New York, NY 10031, USA.
Danielle Marie StramelDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.ORCID 0000-0002-7564-8798
Mayyada ShairHackley School, Tarrytown, NY 10591, USA.
Sunil K AgrawalDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.ORCID 0000-0002-4008-1437
Brearley School · USCity College of New York · USColumbia University · USColumbia University Irving Medical Center · US

Funding

Eunice Kennedy Shriver National Institute of Child Health and Human Development R43HD100309New York State Spinal Cord Injury Research Board C32238GG
6 · The paper itself

Abstract

While walkers are used as mobility aids for different gait impairments, little is known about the factors that affect the performance of such aids. Therefore, we investigated the impact of arm-holding conditions on gait stability and muscle activation. We used surface electromyography (sEMG) sensors on specific arm and leg muscles while the users took laps with a robotic walker, the mobile Tethered Pelvic Assist Device (mTPAD), on an instrumented mat. Eleven participants without gait disorders walked with and without a 10% body weight (BW) force applied on the pelvis in the following three configurations: (i) while gripping the walker's frame, (ii) while using an armrest with their arms at a 90∘ angle, and (iii) while using an armrest with their arms at a 130∘ angle for 5 min each. Our results showed that when applying a force, the users changed their gait to increase stability. We also discovered differences in muscle activation based on the user's specific arm conditions. Specifically, the 130∘ condition required the least muscle activation, while gripping the walker's frame increased specific muscle activation compared to 90∘ and 130∘. This study is the first to evaluate how arm-holding and external loading conditions alter gait and muscle activations using the mTPAD.

Indexed as

Robotic Surgical ProceduresWalkersBiomechanical PhenomenaGaitHumansMuscle, SkeletalPelvisWalkinggait characteristicsmobile tethered pelvic assist devicemobility aidspelvic forcesroboticswalkers

Identifiers

PMID37447845
PMCPMC10346818
OpenAlexW4382724505

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.