djbranco@fc.ul.pt

Diogo Branco

PhD Student

I completed my BSc in 2016 and my MSc in 2018, both on Informatics Engineering. During the second year of my Masters I worked with data-driven healthcare for capturing and showing with rich visualization Parkinson’s patients fluctuations through the day. During that time I had my first contact with research, I built DataPark, a platform with the focus on rich visualization of data collected in free-living. After that I have been continued working with DataPark improving what I have already done and focusing also on clinical evaluation. In 2019 I started my PhD that focus on Parkinson’s Disease. More precisely, my research goal is to improve the informaton available for both clinicians and patients.

Publications

Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

Emmi Antikainen, Haneen Njoum, Jennifer Kudelka, Diogo Branco, Rana Zia Ur Rehman, Victoria Macrae, Kristen Davies, Hanna Hildesheim, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Walter Maetzler, Wan-Fai Ng, Patricio O’Donnell, Geert Van Gassen, Frédéric Baribaud, Ioannis Pandis, Nikolay V. Manyakov, Mark van Gils, Teemu Ahmaniemi and Meenakshi Chatterjee on behalf of the IDEA-FAST project consortium

Frontiers 2022 ‑ Frontiers in Physiology

Machine-learning models for MDS-UPDRS III Prediction: A comparative study of features, models, and data sources

Vitor Lobo, Diogo Branco, Tiago Guerreiro, Raquel Bouça-Machado, Joaquim Ferreira, and the CNS Physiotherapy Study Group

PHSS 2022 ‑ Pervasive Health and Smart Sensing at Information Society 2022

Personalised Gait Recognition for People with Neurological Conditions

Leon Ingelse, Diogo Branco, Hristijan Gjoreski, Tiago Guerreiro, Raquel Bouça-Machado, Joaquim J. Ferreira, and The CNS Physiotherapy Study Group

Sensors 2022 ‑ Special Issue Application of Wearable Technology for Neurological Conditions, 2022

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Investigating the Tradeoffs of Everyday Text-Entry Collection Methods

André Rodrigues, Hugo Nicolau, André Santos, Diogo Branco, Jay Rainey, David Verweij, Jan Smeddinck, Kyle Montague, Tiago Guerreiro

CHI 2022 ‑ ACM Conference on Human Factors in Computing Systems, May, 2022

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🏅 Best Paper Award

SmartFeeding4Kids, an online self-guided parenting intervention to promote positive feeding practices and healthy diet in young children: study protocol for a randomized controlled trial

Ana Isabel Gomes, Ana Isabel Pereira, Tiago Guerreiro, Diogo Branco, Magda Sofia Roberto, Ana Pires, Joana Sousa, Tom Baranowski, Luísa Barros

Trials 2021 ‑ Clinical Trials

Projects

Data-Driven Healthcare

Our goal is to increase and improve the information clinicians and patients have access. We explore and develop mechanisms for collecting, processing, and analyzing the data. We also have a huge concern on how the information is presented.

Photo taken to a 2 years-old girl who is smiling and pointing to the camera.

Personalized Digital Interventions

We seek to tailor and personalize digital interventions to increase users motivation and adherence to the interventions. To this end, is crucial to gather a deep understanding of the intervention, context of use, benefits and difficulties associated and to accede to the mental models (goals, needs, motivations, etc) of the users.