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IoT Technologies for HealthCare. 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings

Research Article

Designing a Soft-Actuated Smart Garment for Postural Control and Fall Prevention in Elderly Women

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28663-6_10,
        author={Alessia Buffagni},
        title={Designing a Soft-Actuated Smart Garment for Postural Control and Fall Prevention in Elderly Women},
        proceedings={IoT Technologies for HealthCare. 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings},
        proceedings_a={HEALTHYIOT},
        year={2023},
        month={3},
        keywords={Smart clothing Remote rehabilitation Post-fall syndrome},
        doi={10.1007/978-3-031-28663-6_10}
    }
    
  • Alessia Buffagni
    Year: 2023
    Designing a Soft-Actuated Smart Garment for Postural Control and Fall Prevention in Elderly Women
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-031-28663-6_10
Alessia Buffagni1,*
  • 1: Università Iuav di Venezia, Santa Croce 191
*Contact email: abuffagni@iuav.it

Abstract

A fall in third age triggers a domino effect of consequences that are recognized by specialists as leading causes of further falls. After the first event, the post-fall syndrome onsets: a pathological fear of falling that affects quality of life. It leads to loss of self-efficacy, sedentarism, musculoskeletal weakening, reduced mobility, postural insufficiency, gait disorders, isolation and depression—all acknowledged as fall risk factors. Specialists agreed that the most effective approach to prevent new episodes is to restore confident postures and good alignments. This paper presents the first design stages of a soft-actuated re-educational garment for remote post-fall rehabilitation in female users. The objective is to i) restore postural control by providing a gentle pressure stimulus, suggesting corrections when poor body alignments are detected; ii) restore the perceived self-efficacy; iii) promote physical activity by motion monitoring and providing daily reports through a patient-therapist smartphone app. To date, we have tested a soft body-postures detection system by cross-checking data from a network of e-textile stretch sensors, along with a pneumatic actuator system around the user’s torso providing a targeted pressure stimulus to correct bad habits. Tests have been run on a limited number of users due to the Covid-19 emergency. Data are not yet statistically conclusive but suggest the way to a new dimensional approach, both for rehabilitation and prevention.

Keywords
Smart clothing Remote rehabilitation Post-fall syndrome
Published
2023-03-16
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28663-6_10
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