With this project we seek to create both hardware and software for the prevention and monitoring of cardiovascular diseases based on physiological data collected in a pervasive manner, with integrated patient / user identity recognition. The system will be supported by low-cost instrumentation, and it will integrate an identity recognition layer based on multimodal physiological data and cloud-based signal processing and pattern recognition algorithms for clinical diagnostics in a continuous data acquisition framework. The team integrates clinical partners that will identify pervasive ECG parameters applicable to health status monitoring, validate their clinical content, structure and design reports taking into account the continuous or near-continuous monitoring capabilities of our approach, benchmark the prototypes against gold-standard devices, and perform case studies with end-users.
|Start Date: 01-01-2014|
|End Date: 01-12-2015|
|Team: Ana Luisa Nobre Fred, Luís Joaquim Alcácer, Jorge Manuel Ferreira Morgado, Andre Ribeiro Lourenco, Hugo Humberto Plácido da Silva|
|Groups: Pattern and Image Analysis – Lx, Organic Electronics – Lx|
|Partners: Dr Rui Ferreira - Hospital de Santa Cruz|
|Local Coordinator: Ana Luisa Nobre Fred|