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Projects

PHASE

Saddle Point Science and Eodyne Systems (Spain) work together on the Personalized Health Assistance SystEm (PHASE) project, a Eureka Eurostars collaboration which aims to develop and validate a scalable solution for home-based rehabilitation and monitoring after stroke.

 

PHASE will deliver a science-grounded pervasive solution that will reduce cost while enhancing the quality of care by providing continuous monitoring, diagnostics, and care through AI-based patient models and portable technology such as smartphones and smartwatches. PHASE is co-funded by the UK's innovation agency, Innovate UK.

HERD

Saddle Point Science leads on the development and application of Bayesian mathematical methods in The Multimodality Early Detection of Head and Neck Cancer Recurrence (HERD) collaboration, which aims to derive a robust risk model for predicting recurrence of head and neck cancer.

 

HERD is a Cancer Research UK (CRUK) funded project involving King's College London, the National Cancer Centre Singapore, University College London, and the University of Cambridge.

RGS@Home

From 2018 to 2021, the RGS@Home project focused on improving stroke rehabilitation through accessible, at-home care using advanced technology.


Aimed at stroke patients, clinicians, and healthcare providers, RGS@Home responded to the increasing need for efficient and affordable rehabilitation options, a need amplified by the growing incidence of strokes. The Rehabilitation Gaming System (RGS) integrates brain theory, artificial intelligence, cloud computing, and virtual reality, supporting both motor and cognitive recovery for stroke survivors.


The initiative was led by Eodyne Systems, which developed the RGS devices and protocols, in collaboration with clinical experts in France, Spain, and Sweden. Saddle Point Science played a vital role, designing statistical models that leverage RGS data to diagnose patient conditions accurately, predict outcomes, and enhance treatment efficacy. 

Publications:

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  • Ballester, B. R., et al. (2021). Estimating upper-extremity function from kinematics in stroke patients following goal-oriented computer-based training. Journal Of Neuroengineering And Rehabilitation, 18(1). https://doi.org/10.1186/s12984-021-00971-8

  • Mura, A.,  et. al. (2022). Bringing rehabilitation home with an e-health platform to treat stroke patients: study protocol of a randomized clinical trial (RGS@home). Trials, 23(1). https://doi.org/10.1186/s13063-022-06444-0

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