Návrh a implementace cloudové platformy pro sběr a analýzu dat z neurorehabilitačního zdravotnického prostředku

Abstract

This thesis focuses on the design, implementation and verification of a cloud platform for the collection, storage and analysis of data from the Mačkátko neurorehabilitation medical device and related client components. The solution is designed for use in home, outpatient and inpatient care and addresses the need for objective monitoring of therapy progress, secure remote data transmission and clear visualization of results for clinical staff.

The thesis first summarizes the theoretical background of neurorehabilitation, telerehabilitation and data-driven evaluation of therapy progress. This is followed by an analysis of the Mačkátko device, operational scenarios and existing solutions on the market. Based on this analysis, the functional and non-functional requirements of the platform are defined, especially requirements related to device data collection, patient record management, rehabilitation session management, clinical metric calculation, role-based access control (RBAC), tenant isolation and audit logging.

The proposed architecture is implemented as the multi-tenant MackatkoPlatform system based on ASP.NET Core for the API, Blazor WebAssembly for the web portal, .NET MAUI for the cross-platform client, application and domain layers, EF Core for persistence, and integration services for identity, audit, observability and cloud-oriented deployment. Particular attention is paid to encrypted communication, RBAC authorization, tenant isolation, minimization of access to sensitive data, offline synchronization in the client part and processing of session data. The implemented prototype is verified using pilot data and rehabilitation session scenarios. It enables remote collection of session data, calculation of clinical metrics, their visualization in the form of summaries and trend charts, and management of tenants, patient records and sessions. The conclusion of the thesis defines the achieved results, the limitations of the prototype and the steps required for production and regulatory-supported deployment.