Evidence mapPaperPMID 39841997Full record

ArticleJMIR aging2025

Wearable Smartphone-Based Multisensory Feedback System for Torso Posture Correction: Iterative Design and Within-Subjects Study.

Amanda Polin Pereira, Olibario Jose Machado Neto, Valeria Meirelles Carril Elui, Maria da Graca Campos Pimentel

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Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing 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

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amanda Polin Pereira *Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto SP, Brazil.ORCID https://orcid.org/0000-0003-4687-6342
Olibario Jose Machado Neto *State University of Mato Grosso do Sul, Nova Andradina MS, Brazil.ORCID https://orcid.org/0000-0003-1305-4166
Valeria Meirelles Carril Elui *Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto SP, Brazil.ORCID https://orcid.org/0000-0003-2898-2766
Maria da Graca Campos Pimentel *Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos SP, Brazil.ORCID https://orcid.org/0000-0001-8264-5811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of stroke is high in both males and females, and it rises with age. Stroke often leads to sensor and motor issues, such as hemiparesis affecting one side of the body. Poststroke patients require torso stabilization exercises, but maintaining proper posture can be challenging due to their condition.

objectiveOur goal was to develop the Postural SmartVest, an affordable wearable technology that leverages a smartphone's built-in accelerometer to monitor sagittal and frontal plane changes while providing visual, tactile, and auditory feedback to guide patients in achieving their best-at-the-time posture during rehabilitation.

methodsTo design the Postural SmartVest, we conducted brainstorming sessions, therapist interviews, gathered requirements, and developed the first prototype. We used this initial prototype in a feasibility study with individuals without hemiparesis (n=40, average age 28.4). They used the prototype during 1-hour seated sessions. Their feedback led to a second prototype, which we used in a pilot study with a poststroke patient. After adjustments and a kinematic assessment using the Vicon Gait Plug-in system, the third version became the Postural SmartVest. We assessed the Postural SmartVest in a within-subject experiment with poststroke patients (n=40, average age 57.1) and therapists (n=20, average age 31.3) during rehabilitation sessions. Participants engaged in daily activities, including walking and upper limb exercises, without and with app feedback.

resultsThe Postural SmartVest comprises a modified off-the-shelf athletic lightweight compression tank top with a transparent pocket designed to hold a smartphone running a customizable Android app securely. This app continuously monitors sagittal and frontal plane changes using the built-in accelerometer sensor, providing multisensory feedback through audio, vibration, and color changes. Patients reported high ratings for weight, comfort, dimensions, effectiveness, ease of use, stability, durability, and ease of adjustment. Therapists noted a positive impact on rehabilitation sessions and expressed their willingness to recommend it. A 2-tailed t-test showed a significant difference (P<.001) between the number of the best-at-the-time posture positions patients could maintain in 2 stages, without feedback (mean 13.1, SD 7.12) and with feedback (mean 4.2, SD 3.97), demonstrating the effectiveness of the solution in improving posture awareness.

conclusionsThe Postural SmartVest aids therapists during poststroke rehabilitation sessions and assists patients in improving their posture during these sessions.

Indexed as

Feedback, SensoryPostureSmartphoneStroke RehabilitationTorsoWearable Electronic DevicesAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsStrokedigital healthdigital interventiondigital technologygerontologymHealthmobile healthmultisensory feedbackpostural balanceposturesmartphonestrokestroke rehabilitationwearable technology

Identifiers

PMID39841997
PMCPMC11809616

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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 Socratic graph.