Evidence map›Paper›PMID 35632054›Full record

ArticleSensors (Basel, Switzerland)2022

Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot-Floor Contact Angle.

Christina Zong-Hao Ma, Tian Bao, Christopher A DiCesare, Isaac Harris, April Chambers, Peter B Shull, Yong-Ping Zheng, Rakie Cham, Kathleen H Sienko

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Advances in Biomechanics-Based Motion Analysis.Bioengineering (Basel, Switzerland) · 2023
    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.

Christina Zong-Hao MaDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6507-2329
Tian BaoDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-7310-3436
Christopher A DiCesareDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-6576-4904
Isaac HarrisDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
April ChambersDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Peter B ShullDepartment of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Yong-Ping ZhengDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.ORCID 0000-0002-3407-9226
Rakie ChamDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Kathleen H SienkoDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-7967-6788

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
NIA NIH HHS P30 AG024824NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

Slip-induced falls, responsible for approximately 40% of falls, can lead to severe injuries and in extreme cases, death. A large foot-floor contact angle (FFCA) during the heel-strike event has been associated with an increased risk of slip-induced falls. The goals of this feasibility study were to design and assess a method for detecting FFCA and providing cues to the user to generate a compensatory FFCA response during a future heel-strike event. The long-term goal of this research is to train gait in order to minimize the likelihood of a slip event due to a large FFCA. An inertial measurement unit (IMU) was used to estimate FFCA, and a speaker provided auditory semi-real-time feedback when the FFCA was outside of a 10-20 degree target range following a heel-strike event. In addition to training with the FFCA feedback during a 10-min treadmill training period, the healthy young participants completed pre- and post-training overground walking trials. Results showed that training with FFCA feedback increased FFCA events within the target range by 16% for "high-risk" walkers (i.e., participants that walked with more than 75% of their FFCAs outside the target range) both during feedback treadmill trials and post-training overground trials without feedback, supporting the feasibility of training FFCA using a semi-real-time FFCA feedback system.

Indexed as

Accidental FallsGaitBiomechanical PhenomenaFeasibility StudiesFeedbackHumansfeedbackfoot–floor contact anglegait traininginertial measurement unitslip

Identifiers

PMID35632054
PMCPMC9144019

What OpenQuestion holds

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LicenceCC BY
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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.