ROVER RISE Project

Reliable Technologies and Models for Verified Wireless

Body-centric Transmission and Localisation

Marie Skłodowska-Curie Actions Research and Innovation Staff Exchange (RISE) project

Call: H2020-MSCA-RISE-2019

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ROVER IN BRIEF

​Global variations in healthcare funding, a growing, ageing demographic, explosions in the availability of health and digital data and new digital technologies are all converging to transform healthcare.

​With a shift towards distributed care, medical interventions and monitoring will be increasingly realised through home or local care/recovery environments along with remote access to specialist care units, improving diagnostics, earlier interventions and success outcomes.

Moreover, with technological developments, security requirements and the vast operational complexity of non-intrusive technologies, game-changing, yet implementable innovations are needed.

ROVER unites a highly skilled and motivated multidisciplinary team of developing researchers, innovators and internationally recognized experts from academia and business entities to tackle global challenges and support national and international efforts in the optimisation of wireless applications for healthcare by ensuring beyond state of the art innovations and promoting excellence research and product development through training and mentoring future researchers in the pivotal skillsets required for healthcare step changes.

Our overarching aim is to advance knowledge in the area of intelligent wireless networks for medical ICT applications by creating new algorithms and non-invasive validated system prototypes for in-on-, on-on and on-off-body communications. These will assist, automate and classify patients’ diagnostics and monitoring processes, minimizing, if not negating, subjective assessment as well as manual intervention of caregivers.

The ROVER team explores three crucial technical areas:

  1. diagnostics and monitoring,

  2. data transfer and security and

  3. medical advisory interaction procedures through signal processing and machine learning.

 

The project ensures proactive knowledge transfer and best practices worldwide with the effective mobility and training activities of researchers and staff.

 

Download the ROVER project one pager