Evidence map›Paper›PMID 36118656›Full record

ArticleJournal of physical therapy science2022

Reliability of Bluetooth inertial sensors for assessing lower limb segment angles and stride length during gait.

Jessica Pitts, Shuaijie Wang, Tanvi Bhatt

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jessica PittsDepartment of Physical Therapy, University of Illinois at Chicago: 1919 W Taylor Street, Chicago, IL, 60612, USA.
Shuaijie WangDepartment of Physical Therapy, University of Illinois at Chicago: 1919 W Taylor Street, Chicago, IL, 60612, USA.
Tanvi BhattDepartment of Physical Therapy, University of Illinois at Chicago: 1919 W Taylor Street, Chicago, IL, 60612, USA.

Funding

Aging and task-specific training to reduce fallsR01AG050672 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BHATT, TANVI · 2016 to 2025
$2.9M
NIA NIH HHS R01 AG050672
6 · The paper itself

Abstract

[Purpose] To assess the agreement between our custom Bluetooth IS system and the gold standard MOCAP system during gait. Bluetooth inertial movement sensors (IS) allow for real-time movement analysis with fewer restrictions than optoelectrical motion capture systems (MOCAP) and more accessibility than wireless IS systems. [Participants and Methods] We collected simultaneous Bluetooth IS and MOCAP data for 16 young participants walking at a self-selected speed. Sensors were placed on the right thigh and shank. Segment angles and stride length were calculated and compared between systems using Pearson's correlation coefficients (R), intra-class correlation coefficients (ICC), root mean square errors (RMSE), limits of agreement (LOA), and Bland-Altman plots. [Results] R values ranged from 0.371-0.715; ICC values ranged from 0.263-0.770. RMSE was 0.369 m for stride length and ranged from 6.85-13.07° in segment angles. Limits of agreement were -0.01-0.66 m for stride length and ranged from -27.71-20.53° in segment angles. [Conclusion] The Bluetooth IS system showed moderate agreement with MOCAP. Bluetooth IS could be used for reliable gait analysis with fewer space requirements and more portability than wireless IS or MOCAP systems. Bluetooth IS could be used outside of the clinic for real-time monitoring of gait during daily life.

Indexed as

BluetoothGait analysisInertial sensors

Identifiers

PMID36118656
PMCPMC9444516

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.