WP4.3

Predictive Algorithms for Health

The work carried out in this WP targets the research and development of algorithms and applications for the implementation of a framework to identify, predict, monitor and warn on cardiology, Neurodegenerative diseases and comportamental originated diseases.

Team & Collaborators

  • Miguel Castelo Branco | WP leader
  • Nuno Garcia
  • Nuno Pombo
  • Sandeep Pirbhulal | Research fellow, UBI (05/2019-04/2020)
  • Henriques Zacarias | PhD Student, UBI
  • Virginie Felizardo | PhD Student, UBI
  • Igor Matias | MSc Student, UBI
  • Mehran Pourvahab | PostDoc

Publications

Journal articles

PhD thesis

  • Henriques Zacarias, PhD student in Biomedicine, UBI. Thesis title, A novel automatic predictive system for Atrial Fibrillation detection in Electrocardiograms. Co-advised by Dr. João Alexandre Lobo Marques (University of São José, Macao) and Dr. Victor Hugo Albuquerque (University of Fortaleza, Brazil). Expected conclusion in June 2023.
  • Virginie Felizardo, PhD student in Computer Science and Engineering, UBI. Thesis title, Context-aware algorithms for Diabetes or Prediabetes prediction and diagnosis support in Ambient Assisted Living. Co-adivsed by Dr. Imen Megdiche (Université Paul Sabatier, Toulouse, France). Expected defence in December 2022.

MSc thesis

  • Igor Matias, MSc student in Computer Science and Engineering, UBI. Dissertation title, ECG based Prediction Model for Cardiac-Related Diseases using Machine Learning Techniques. Co-supervised by Prof. Miguel Castelo Branco (UBI) and Prof. Eftim Zdravevski (Faculty of Computer Science and Engineering, University Ss. Cyril and Methodius, Skopje, Macedonia). June 2020.

Related activities

  • Prontus, project proposal in preparation, with PEGASI, Lda..
  • Sandeep Pirbhulal, Analysis of ECG based Random Binary Sequence Generation for Medical Applications, C4 – RINNOVAR – Research and INNOVation seminAR. November 2019. Covilhã, Portugal.

Last Update | Dec 18, 2022 (7:45 PM)