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Quantitative Evaluation of Postural SmartVest’s Multisensory Feedback for Affordable Smartphone-Based Post-Stroke Motor Rehabilitation

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Listed:
  • Maria da Graca Campos Pimentel

    (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo (USP), São Carlos 13566-590, SP, Brazil
    These authors contributed equally to this work.)

  • Amanda Polin Pereira

    (Programa de Pós-Graduação Interunidades em Bioengenharia, EESC-FMRP-IQSC, Universidade de São Paulo (USP), Ribeirão Preto 14048-900, SP, Brazil
    These authors contributed equally to this work.)

  • Olibario Jose Machado Neto

    (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo (USP), São Carlos 13566-590, SP, Brazil
    These authors contributed equally to this work.
    Current affiliation: Universidade Estadual de Mato Grosso do Sul (UEMS), Nova Andradina 79750-000, MS, Brazil.)

  • Larissa Cardoso Zimmermann

    (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo (USP), São Carlos 13566-590, SP, Brazil)

  • Valeria Meirelles Carril Elui

    (Programa de Pós-Graduação Interunidades em Bioengenharia, EESC-FMRP-IQSC, Universidade de São Paulo (USP), Ribeirão Preto 14048-900, SP, Brazil
    These authors contributed equally to this work.)

Abstract

Accessible tools for post-stroke motor rehabilitation are critically needed to promote recovery beyond clinical settings. This pilot study evaluated the impact of a posture correction intervention using the Postural SmartVest, a wearable device that delivers multisensory feedback via a smartphone app. Forty individuals with post-stroke hemiparesis participated in a single supervised session, during which each patient completed the same four-phase functional protocol: multidirectional walking, free walking toward a refrigerator, an upper-limb reaching and object-handling task, and walking back to the starting point. Under the supervision of their therapists, each patient performed the full protocol twice—first without feedback and then with feedback—which allowed within-subject comparisons across multiple metrics, including upright posture duration, number and frequency of posture-related events, and temporal distribution. Additional analyses explored associations with demographic and clinical variables and identified predictors through regression models. Wilcoxon signed-rank and Mann–Whitney U tests showed significant improvements with feedback, including an increase in upright posture time ( p < 0.001 ), an increase in the frequency of upright posture events ( p < 0.001 ), and a decrease in the total task time ( p = 0.038 ). No significant subgroup differences were found for age, sex, lateralization, or stroke chronicity. Regression models did not identify significant predictors of improvement.

Suggested Citation

  • Maria da Graca Campos Pimentel & Amanda Polin Pereira & Olibario Jose Machado Neto & Larissa Cardoso Zimmermann & Valeria Meirelles Carril Elui, 2025. "Quantitative Evaluation of Postural SmartVest’s Multisensory Feedback for Affordable Smartphone-Based Post-Stroke Motor Rehabilitation," IJERPH, MDPI, vol. 22(7), pages 1-22, June.
  • Handle: RePEc:gam:jijerp:v:22:y:2025:i:7:p:1034-:d:1689924
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