Evidence map›Paper›PMID 39763437›Full record

Observational studyClinical rehabilitation2025

Enhancing safety monitoring in post-stroke rehabilitation through wearable technologies.

Kátia Rech, Maira Jaqueline da Cunha, Ana Paula Salazar, Rosicler da Rosa Almeida, Clarissa Pedrini Schuch, Gustavo Balbinot

Abstract readObservational Study
In one paragraph

Observational study in Clinical rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Kátia RechMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saude de Porto Alegre (UFCSPA), Porto Alegre, Brazil.
Maira Jaqueline da CunhaMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saude de Porto Alegre (UFCSPA), Porto Alegre, Brazil.ORCID 0000-0003-1343-0360
Ana Paula SalazarMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saude de Porto Alegre (UFCSPA), Porto Alegre, Brazil.ORCID 0000-0001-7106-1167
Rosicler da Rosa AlmeidaRehabilitation Sciences Graduate Program, Universidade Federal de Ciências da Saude de Porto Alegre (UFCSPA), Porto Alegre, Brazil.
Clarissa Pedrini SchuchMyantX Corp, Mississauga, ON, Canada.ORCID 0000-0001-5487-4780
Gustavo BalbinotDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.ORCID 0000-0003-2870-3966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveCurrent clinical practice guidelines support structured, progressive protocols for improving walking after stroke. Technology enables monitoring of exercise and therapy intensity, but safety concerns could also be addressed. This study explores functional mobility in post-stroke individuals using wearable technology to quantify movement smoothness-an indicator of safe mobility.DesignObservational cohort study.SettingA movement analysis and rehabilitation laboratory.ParticipantsA total of 56 chronic post-stroke individuals and 51 healthy controls.InterventionParticipants performed the mobility test while wearing an inertial measurement unit attached to their waist. Thirty-two healthy participants also engaged in a steady-state walking task.Main measuresFunctional mobility smoothness by examining angular velocities in the yaw, pitch, and roll axes, employing the spectral arc length metrics.ResultsOur findings reveal that post-stroke individuals extend the duration of the timed-up-and-go test (≈9 s and 23 s longer compared to the controls) to ensure safe mobility-greater mobility smoothness (

Indexed as

StrokeStroke RehabilitationWalkingWearable Electronic DevicesAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPatient Safetyautomated classificationinertial measurement unitMobilitysmoothnessstroke

Identifiers

PMID39763437
PMCPMC11927009

What OpenQuestion holds

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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 OpenQuestion graph.