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

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability

Chloe Hinchliffe, Rana Zia Ur Rehman, Diogo Branco, Dan Jackson, Teemu Ahmaniemi, Tiago Guerreiro, et al

IEEE EMBC 2023 ‑ IEEE Engineering in Medicine and Biology Society

Democratizing Data-Driven Healthcare

Diogo Branco, Tiago Guerreiro, Kyle Montague, Luís Carvalho, Lorelle Dismore, Richard Walker, Dan Jackson, Raquel Bouça and Joaquim Ferreira

IDDHI 2023 ‑ CHI'23 workshop on Intelligent Data-Driven Health Interfaces

Intake of added sugar, fruits, vegetables, and legumes of Portuguese preschool children: Baseline data from SmartFeeding4Kids randomized controlled trial participants

Sofia Charneca, Ana Isabel Gomes, Diogo Branco, Tiago Guerreiro, Luísa Barros, Joana Sousa

Frontiers in Nutrition 2023 ‑

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