Evidence map›Paper›PMID 41569824›Full record

ArticleJournal of applied biomechanics2026

A Functional Sensor-to-Segment Calibration Method Reduces the Effects of Varied Sensor Placement on Estimates of Segment Angular Excursion.

Julien A Mihy, Mayumi Wagatsuma, Stephen M Cain, Jocelyn F Hafer

Abstract read
In one paragraph

Article in Journal of applied biomechanics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Julien A MihyDepartment of Kinesiology & Applied Physiology, University of Delaware, Newark, DE, USA.ORCID 0000-0001-7775-6699
Mayumi WagatsumaDepartment of Kinesiology & Applied Physiology, University of Delaware, Newark, DE, USA.ORCID 0000-0002-1262-4043
Stephen M CainDepartment of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, USA.ORCID 0000-0003-1961-4195
Jocelyn F HaferDepartment of Kinesiology & Applied Physiology, University of Delaware, Newark, DE, USA.ORCID 0000-0002-4178-8872

Funding

Understanding how age, knee osteoarthritis, and symptoms influence the structure and variance of real-world gait mechanicsR21AG076989 · NIA · UNIVERSITY OF DELAWARE · PI HAFER, JOCELYN FREY · 2022 to 2023
$435k
NIA NIH HHS R21 AG076989
6 · The paper itself

Abstract

To collect reliable data, it is important to determine how inertial measurement unit (IMU) sensor placement affects measurements of segment motion. We aimed to determine the extent to which a functional sensor-to-segment calibration method minimizes the effect of variations in sensor placement on IMU-derived segment angular excursions. Twenty healthy adults walked while wearing 3 IMUs placed on each of the pelvis, thigh, shank, and foot. Differences in estimated segment angular excursions between sensor placements were compared between an assumed sensor-to-segment calibration and 2 versions of a walking-based functional sensor-to-segment calibration. The performance of the functional calibration methods varied. The shank had the greatest difference in root mean square difference between methods (15° for assumed, 1.5° for functional calibration), but the pelvis and thigh did not have significant differences in root mean square difference between assumed and functional calibrations. Mean root mean square differences for angular excursion between sensors were <5° for most comparisons for assumed and functional calibrations. Functional calibration reduced between-subject variance in intersensor differences for all segments. Functional calibration can minimize the effect of variations in IMU sensor placement, but care should be taken to select sensor placements that minimize soft-tissue artifact (eg, anterior thigh).

Indexed as

GaitMonitoring, AmbulatoryWalkingWearable Electronic DevicesAdultBiomechanical PhenomenaCalibrationFemaleHumansMaleReproducibility of ResultsYoung Adultalignmentgaitreal-worldsensor-to-segment orientationwearable sensors

Identifiers

PMID41569824
PMCPMC13250779

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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.