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

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.

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Publication Details

Journal
International Journal of Environmental Research and Public Health
Published
2025-06-28
DOI
https://doi.org/10.3390/ijerph22071034
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
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article

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

Valéria Meirelles Carril Elui, Olibario José Machado Neto, Amanda Polin Pereira, Maria da Graça Campos Pimentel et al.
International Journal of Environmental Research and Public Health
Stroke Rehabilitation and Recovery
article

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

Valéria Meirelles Carril Elui, Olibario José Machado Neto, Amanda Polin Pereira, Maria da Graça Campos Pimentel, L. R. Zimmermann
article en

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.

International Journal of Environmental Research and Public HealthVol. 22(7)
Universidade de São Paulo (BR), Brazilian Society of Computational and Applied Mathematics (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Good health and well-being
Openalex Percentile: Top 80%
Stroke Rehabilitation and Recovery
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