Speaker
Description
TELE-NEURART is an Italian-scale virtual paediatric network aimed at advancing the management of neurodevelopmental disorders through (i) tele-monitoring in ecologically valid home settings, (ii) remote telerehabilitation protocols, and (iii) AI-driven identification of digital biomarkers to support personalised yet nationally standardisable care pathways. The network connects specialised centres across Italian regions and relies on a shared research infrastructure for protocol harmonisation and data-driven clinical translation.
This paper presents the Data Acquisition Architecture designed to enable real-time, multi-site acquisition, integration, and processing of heterogeneous clinical and digital data. The DAA targets key challenges typical of paediatric distributed deployments: (1) data heterogeneity across imaging and diagnostic devices, robotic/telerehabilitation platforms, multimodal sensors and structured clinical forms; (2) semantic and technical interoperability, addressed through normalisation and harmonisation workflows and mapping to recognised clinical/functional frameworks, enabling aggregation and reproducible analytics; (3) multi-tier data lifecycle management, combining local storage and local analytics for quality control and pre-processing at the edge, latency reduction for monitoring, and sustainable synchronisation toward federated/central repositories; (4) robustness in real-world contexts, mitigating missing data, noise, device drift, and temporal misalignment via validation, metadata management, device/protocol versioning, time synchronisation, and buffering; and (5) privacy and governance by design, integrating pseudonymisation/anonimisation, access control, audit logging, consent governance, and secure data handling, which are critical for clinical data from minors.
Overall, the proposed DAA provides an AI-ready foundation supporting traceable pipelines from raw signals to curated datasets and derived features, enabling scalable development and validation of clinically actionable digital biomarkers within a distributed paediatric care ecosystem
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