Descrizione del progetto
Modelli di riabilitazione personalizzata a distanza potenziati dall’IA per pazienti affetti da disturbi dell’equilibrio
Il progetto HOLOBALANCE ha sviluppato dispositivi indossabili e IoT per la riabilitazione dell’equilibrio e il monitoraggio a distanza dei pazienti. Il progetto TeleRehaB DSS, finanziato dall’UE, svilupperà un sistema di supporto alle decisioni basato sull’IA sulla scia dell’attuale piattaforma di realtà aumentata per l’allenamento riabilitativo e gli strumenti del progetto HOLOBALANCE. I modelli di IA valuteranno fattori prognostici per il rischio di cadute, l’efficacia dei trattamenti, i risultati e gli effetti collaterali al livello di base, avvalendosi di numerosi dati retrospettivi per l’allenamento iniziale. I modelli introdurranno una funzionalità di pianificazione e gestione automatica di intervento sull’equilibrio per fornire attività di riabilitazione personalizzate ottimali e garantire un monitoraggio automatico a distanza del paziente mediante dispositivi indossabili e di rilevamento IoT, consentendo di effettuare l’allenamento riabilitativo a domicilio.
Obiettivo
TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasks to assess patient's level of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.
Campo scientifico
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Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
106 82 ATHINA
Grecia