Evidence map›Paper›PMID 28433867›Full record

ArticleGait & posture2017

Validity and repeatability of inertial measurement units for measuring gait parameters.

Edward P Washabaugh, Tarun Kalyanaraman, Peter G Adamczyk, Edward S Claflin, Chandramouli Krishnan

Registry-linked trialAbstract read
In one paragraph

Article in Gait & posture, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06381674 (Wearable Technology to Characterize and Treat mTBI Subtypes), which is not on this map. Cited by 164 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 1 pooled it
56.5field-weighted citation impact, top 1% 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.

NCT06381674 narecruitingnot on this mapstarted 2024, after this paper: background citation

Wearable Technology to Characterize and Treat mTBI Subtypes: Biofeedback-Based Precision Rehabilitation

TypeinterventionalSponsorOregon Health and Science UniversityRan2024 to 2028Enrolled100ConditionsMild Traumatic Brain Injury, Concussion, Rehabilitation, Balance ImpairmentArmsVestibular therapy for mTBI augmented with audio and visual real-time biofeedback, Vestibular therapy for mTBI
3 · Its place in the literature

Who cites it

164 citing papers in PubMed, 1 synthesis or guideline pooled it, 323 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

104 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 1 country.

Edward P WashabaughDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Tarun KalyanaramanDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Peter G AdamczykDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Edward S ClaflinDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Chandramouli KrishnanDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address: mouli@umich.edu.
Michigan Medicine · USUniversity of Michigan–Ann Arbor · USUniversity of Wisconsin–Madison · US

Funding

Field-Based Gait Monitoring System for the ElderlyR44AG030815 · NIA · INTELLIGENT PROSTHETIC SYSTEMS, LLC · PI ADAMCZYK, PETER G · 2010 to 2011
$856k
NRI: Wearable eMbots to Induce Recovery of FunctionR01EB019834 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DURFEE, WILLIAM K, GILLESPIE, RICHARD BRENT · 2014 to 2016
$854k
Active Variable-Stiffness Prosthetic FootR43HD074424 · NICHD · INTELLIGENT PROSTHETIC SYSTEMS, LLC · PI ADAMCZYK, PETER G · 2015 to 2015
$157k
NIA NIH HHS R44 AG030815NIBIB NIH HHS R01 EB019834NICHD NIH HHS R43 HD074424
6 · The paper itself

Abstract

Inertial measurement units (IMUs) are small wearable sensors that have tremendous potential to be applied to clinical gait analysis. They allow objective evaluation of gait and movement disorders outside the clinic and research laboratory, and permit evaluation on large numbers of steps. However, repeatability and validity data of these systems are sparse for gait metrics. The purpose of this study was to determine the validity and between-day repeatability of spatiotemporal metrics (gait speed, stance percent, swing percent, gait cycle time, stride length, cadence, and step duration) as measured with the APDM Opal IMUs and Mobility Lab system. We collected data on 39 healthy subjects. Subjects were tested over two days while walking on a standard treadmill, split-belt treadmill, or overground, with IMUs placed in two locations: both feet and both ankles. The spatiotemporal measurements taken with the IMU system were validated against data from an instrumented treadmill, or using standard clinical procedures. Repeatability and minimally detectable change (MDC) of the system was calculated between days. IMUs displayed high to moderate validity when measuring most of the gait metrics tested. Additionally, these measurements appear to be repeatable when used on the treadmill and overground. The foot configuration of the IMUs appeared to better measure gait parameters; however, both the foot and ankle configurations demonstrated good repeatability. In conclusion, the IMU system in this study appears to be both accurate and repeatable for measuring spatiotemporal gait parameters in healthy young adults.

Indexed as

AccelerometryAdultAnkle JointExercise TestFemaleFootGaitHumansMaleReproducibility of ResultsWalkingWalking SpeedYoung AdultAccuracyBiomechanicsGait detectionInertial sensorsWearableWearable devices

Identifiers

PMID28433867
PMCPMC5507609
OpenAlexW2606165363

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.