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Intelligent Health Promotion Service System: A Project for Remote Rehabilitation

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F25%3A00013680" target="_blank" >RIV/46747885:24220/25:00013680 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/46747885:24530/25:00013680

  • Výsledek na webu

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-86323-3_24" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-86323-3_24</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Intelligent Health Promotion Service System: A Project for Remote Rehabilitation

  • Popis výsledku v původním jazyce

    This paper presents the ongoing development of the Intelligent Health Promotion Service System, a joint Taiwanese-Czech project focused on remote rehabilitation solutions. The system combines a multi-sensor smart orthosis with serious game integration for patient motivation. Our primary targets are aging populations with sarcopenia and potentially dementia, undergoing long-term home rehabilitation. Methodology: We focus on three key areas: Camera-based motion capture and analysis: We utilize a single 2D camera for movement capture, enabling a versatile and cost-effective solution. Machine learning models trained by physiotherapist evaluations are used for automated assessment, comparable to human raters. Reconditioning for bedridden patients: This solution provides passive reconditioning for ICU patients with limited mobility. It allows for rehabilitation in existing hospital beds, minimizing disruption to treatment routines. Smart somatosensory wearable assistive device (SSWAD): This device incorporates wireless surface electromyography (sEMG) with exergames to enhance user engagement and track rehabilitation progress. Usability studies show high user acceptance (average SUS score: 77.70) for SSWAD, particularly among female participants with prior rehabilitation experience. Conclusion: The Intelligent Health Promotion Service System offers a promising approach for remote rehabilitation, promoting patient motivation and improving accessibility, particularly for vulnerable populations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

  • Název v anglickém jazyce

    Intelligent Health Promotion Service System: A Project for Remote Rehabilitation

  • Popis výsledku anglicky

    This paper presents the ongoing development of the Intelligent Health Promotion Service System, a joint Taiwanese-Czech project focused on remote rehabilitation solutions. The system combines a multi-sensor smart orthosis with serious game integration for patient motivation. Our primary targets are aging populations with sarcopenia and potentially dementia, undergoing long-term home rehabilitation. Methodology: We focus on three key areas: Camera-based motion capture and analysis: We utilize a single 2D camera for movement capture, enabling a versatile and cost-effective solution. Machine learning models trained by physiotherapist evaluations are used for automated assessment, comparable to human raters. Reconditioning for bedridden patients: This solution provides passive reconditioning for ICU patients with limited mobility. It allows for rehabilitation in existing hospital beds, minimizing disruption to treatment routines. Smart somatosensory wearable assistive device (SSWAD): This device incorporates wireless surface electromyography (sEMG) with exergames to enhance user engagement and track rehabilitation progress. Usability studies show high user acceptance (average SUS score: 77.70) for SSWAD, particularly among female participants with prior rehabilitation experience. Conclusion: The Intelligent Health Promotion Service System offers a promising approach for remote rehabilitation, promoting patient motivation and improving accessibility, particularly for vulnerable populations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    30300 - Health sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/TM03000048" target="_blank" >TM03000048: Inteligentní systém služeb na podporu zdraví</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů