KnIMU: Designing a Secure Architecture for measuring knee instability
Future Software Technologies
Semester programme:Master of Applied IT
Research group:Sustainable Data & AI Application
Project group members:Ante Cetinić Franulović
Michaël Groenewegen van der Weijden
Project description
How to design a Secure Architecture capable of ingesting and processing real-time IMU data for measuring functional knee instability?
Context
Designing an Architecture for data ingestion, processing and visualization from IMU sensors applied in the context of real-world functional knee instability. Two parallel projects were conducted one focusing on security and one focusing on designing a data ingestion and machine learning pipeline.
Results
Result 1. A security checklist unifying regulations and literature best practices along with a compliant system architecture.
Result 2. A DataOps and MLOps Architecture for real-world and real-time assessment of functional knee instability using IMU sensors.