Gloria Vergara-Díaz

Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment

Bjoern M. Eskofier, Sunghoon Ivan Lee, Jean‐François Daneault et al. · 2016 · 168 citations

Convolutional Neural Network, Engineering, Machine Learning +20

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Catherine Adans-Dester, Nicolas Hankov, Anne O’Brien et al. · npj Digital Medicine · 2020 · 113 citations · Full text

mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson’s disease

Michael Kelley Erb, Daniel R. Karlin, Bryan Ho et al. · npj Digital Medicine · 2020 · 112 citations · Full text

Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

Catherine Adans-Dester, Stacy Bamberg, Francesco Bertacchi et al. · IEEE Open Journal of Engineering in Medicine and Biology · 2020 · 86 citations · Full text

Tai Chi for Reducing Dual-task Gait Variability, a Potential Mediator of Fall Risk in Parkinson’s Disease: A Pilot Randomized Controlled Trial

Gloria Vergara-Díaz, Kamila Osypiuk, Jeffrey M. Hausdorff et al. · Global Advances in Health and Medicine · 2018 · 72 citations · Full text