Evidence map›Paper›PMID 42512437›Full record

ReviewBrain sciences2026

Concurrent Validity and Reliability of Inertial Sensor-Based Wearables for Quantifying Spatial-Temporal Gait Parameters After Stroke: A Systematic Review.

Víctor Martínez-Pozo, David Barbado, Carmina Díaz-Marín, Jonatan García-Campos, Carles Blasco-Peris, Pablo Ros-Arlanzón, Luis Moreno-Navarro, Ivo D Popivanov, Shima Mehrabian-Spasova, Lachezar Traykov and 3 more

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. 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

13 authors.

Víctor Martínez-PozoSports Research Centre, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0009-0004-6658-9302
David BarbadoSports Research Centre, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-4314-9185
Carmina Díaz-MarínAlicante Institute for Health and Biomedical Research (ISABIAL), 03550 Alicante, Spain.
Jonatan García-CamposAlicante Institute for Health and Biomedical Research (ISABIAL), 03550 Alicante, Spain.ORCID 0000-0003-4590-2799
Carles Blasco-PerisAlicante Institute for Health and Biomedical Research (ISABIAL), 03550 Alicante, Spain.
Pablo Ros-ArlanzónAlicante Institute for Health and Biomedical Research (ISABIAL), 03550 Alicante, Spain.ORCID 0000-0002-4082-5942
Luis Moreno-NavarroAlicante Institute for Health and Biomedical Research (ISABIAL), 03550 Alicante, Spain.ORCID 0000-0002-7550-6239
Ivo D PopivanovDepartment of Cognitive Science and Psychology, New Bulgarian University, 1618 Sofia, Bulgaria.
Shima Mehrabian-SpasovaClinic of Neurology, University Hospital Alexandrovska, 1431 Sofia, Bulgaria.
Lachezar TraykovClinic of Neurology, University Hospital Alexandrovska, 1431 Sofia, Bulgaria.ORCID 0000-0001-5377-7794
Bernardino Morillo-MerinoFundeSalud-Foundation for Research and Training of Health Professionals of Extremadura, 06800 Mérida, Spain.
Elisabeth García-AlonsoFundeSalud-Foundation for Research and Training of Health Professionals of Extremadura, 06800 Mérida, Spain.
Diana Salas-GómezSports Research Centre, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0001-6794-7002

Funding

The JADE Health Joint Action" funded by the European Union GA 101183247
6 · The paper itself

Abstract

This systematic review examined the validity and reliability of wearable inertial sensor systems to quantify spatiotemporal gait parameters in post-stroke adults, a population in which gait asymmetry and altered motor control challenge accurate measurement. Sixteen studies involving 300 participants were included. Spatial parameters gait speed, cadence, and step/stride length showed consistently good-to-excellent agreement with reference systems (ICC 0.85-0.98; 95% LoA ±0.03-0.08 m/s for gait speed, ±4-10 steps/min for cadence, and ±3-8 cm for step/stride length) and high test-retest reliability. Temporal parameters demonstrated greater heterogeneity, with larger errors and lower concordance (ICC 0.40-0.85; LoA ±0.04-0.12 s), particularly for swing time (ICC 0.40-0.70; LoA up to ±0.15 s). Paretic-side measurements showed 10-20% lower concordance and 30-50% wider limits of agreement compared with the non-paretic side, although within-subject reliability remained moderate to high. No consistent influence of sensor number on measurement accuracy was observed. Overall, wearable inertial sensors provide robust estimates of spatial gait parameters, whereas temporal outcomes especially swing time remain limited due to challenges in gait event detection under stroke-related biomechanical alterations. These findings highlight the need for standardized protocols and improved algorithms to enhance comparability across studies and support broader clinical adoption.

Indexed as

inertial measurement unitspost-stroke gaitspatiotemporal gait parameterswearable sensors

Identifiers

PMID42512437
PMCPMC13407008

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Registered trials

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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.