Evidence map›Paper›PMID 41228909›Full record

ArticleSensors (Basel, Switzerland)2025

Evaluating the Psychometrics of Accelerometer Data for Independent Monitoring of Task Repetitive Practice.

Elena V Donoso Brown, Rachael Miller Neilan, Fiona Kessler Brody, Jenna Gallipoli, Taylor McElroy, MacKenzie Gough

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

6 authors.

Elena V Donoso BrownDepartment of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.ORCID 0000-0002-0166-8198
Rachael Miller NeilanDepartment of Mathematics and Computer Science, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.ORCID 0000-0003-4074-0436
Fiona Kessler BrodyDepartment of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.
Jenna GallipoliDepartment of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.
Taylor McElroyDepartment of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.
MacKenzie GoughDepartment of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals post-stroke commonly experience impairments in upper extremity function that limit participation in valued activities. Task repetitive practice is an effective intervention strategy, but accurately monitoring adherence and movement quality in home programs remains a challenge. This pilot study investigates the reliability and validity of raw accelerometer data captured by a commercially available, wrist-worn activity monitor to assess upper extremity movement in healthy adults during task repetitive practice. Measures of duration, angular velocity, and acceleration were obtained from activity monitors worn by 25 healthy adults performing four functional tasks under varying conditions. Preliminary results indicate moderate to excellent within-session reliability in these three measures when compared across repeated trials of the same task, with one exception. Across all tasks, the duration measure consistently detected differences in exercise time between sets of 5, 10, and 20 repetitions at a comfortable pace. All three measures differentiated between 10 comfortable repetitions and 10 fast repetitions on three out of four tasks. These findings provide initial psychometric properties in a healthy population and further research is required to determine whether these properties remain robust in the presence of motor impairment. This work represents an early step towards developing approaches for monitoring home exercise programs that support stroke recovery.

Indexed as

AccelerometryPsychometricsAdultExerciseFemaleHumansMaleMiddle AgedMovementPilot ProjectsReproducibility of ResultsStrokeStroke RehabilitationUpper ExtremityWearable Electronic Devicesaccelerometerhome programstrokevalidation

Identifiers

PMID41228909
PMCPMC12610350

What Socratic 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 Socratic graph.