Evidence map›Paper›PMID 35600226›Full record

ArticleMeasurement : journal of the International Measurement Confederation2022

Measuring Gait Parameters from Structural Vibrations.

Benjamin T Davis, Brianna I Bryant, Stacy L Fritz, Reed Handlery, Alicia Flach, Victor A Hirth

Open access · greenAbstract read
In one paragraph

Article in Measurement : journal of the International Measurement Confederation, 2022. 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
4.3field-weighted citation impact, top 6% 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, 10 citations in OpenAlex.

  1. Probabilistic Estimation of Cadence and Walking Speed From Floor Vibrations.IEEE journal of translational engineering in health and medicine · 2024
    Article
  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

6 authors at 2 institutions in 1 country.

Benjamin T DavisAdvanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
Brianna I BryantAdvanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
Stacy L FritzArnold School of Public Health, Physical Therapy Program, University of South Carolina, 921 Assembly St, Columbia, SC 29208.
Reed HandleryArkansas Colleges of Health Education, 7000 Chad Colley Blvd, Fort Smith, AR 72916.
Alicia FlachArnold School of Public Health, Physical Therapy Program, University of South Carolina, 921 Assembly St, Columbia, SC 29208.
Victor A HirthAdvanced Smart Systems and Evaluation Technologies (ASSET), LLC 1400 Laurel Street, Columbia, SC 29201, USA.
University of South Carolina · USUniversity of Arkansas – Fort Smith · US

Funding

Mitigating Injurious Falls in Older Adults Through Non-Injurious Fall and Gait Analysis From Floor VibrationsR42AG059475 · NIA · ADVANCED SMART SYSTEMS/EVALUATION TECHNO · PI Stacy Lynne Fritz · 2021 to 2026
$4.5M
Mitigating Injurious Falls in Older Adults Through Non-Injurious Fall and Gait Analysis From Floor VibrationsR41AG059475 · NIA · ADVANCED SMART SYSTEMS/EVALUATION TECHNO · PI FRITZ, STACY LYNNE · 2018 to 2018
$225k
NIA NIH HHS R41 AG059475NIA NIH HHS R42 AG059475
6 · The paper itself

Abstract

Measuring gait parameters (e.g. speed, cadence, step duration) accurately is invaluable for evaluation during treatment of older adults who struggle with disability onset, disease progression, balance, and injurious falls. Traditionally stopwatches or timing gates are used to measure gait speed in clinical settings, and these are limited to measuring gait speed. Other wearable and non-wearable technologies offer the ability to measure additional gait parameters though patients are known to walk differently with the devices and even tend to slow down before engaging with a non-wearable such as a floor mat. Floor vibrations are a promising option to measuring gait parameters while not being intrusive and not requiring line-of-sight to the patient for measurements. This paper presents methodology for extracting gait parameters using vibrations with comparisons to APDM Wearable Technologies Mobility Lab sensors and stopwatch measurements. Performance is examined across 97 participants for self-selected speed forward, full speed forward, and backwards walks at three different testing sites for a total of 1039 walks. Gait speed vibrations measurements demonstrated excellent reliability with APDM Mobility Lab (ICC: 0.98; 99% CI: 0.01±0.01 m/s) and stopwatch (ICC: 0.97; 99% CI: -0.01±0.01 m/s) measurements. Similar excellent results are reported for cadence, gait cycle duration, step duration, and stride length parameters.

Indexed as

APDMcadencegait cycle durationgait speedstep durationstopwatchstride lengthstructural vibrations

Identifiers

PMID35600226
PMCPMC9121791
OpenAlexW4220861367

What OpenQuestion holds

Textmetadata
LicenceTDM
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.