Gloria Vergara-Diaz

According to our database, Gloria Vergara-Diaz authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Wearable Technology and Machine Learning to Monitor Upper-Limb Use in Brain Injury Survivors.

Cristiana Ernesto, Federico Parisi, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Hugo Ferreira, Paolo Bonato

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

2021

Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.

Sunghoon Ivan Lee, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria P. Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Paolo Bonato

IEEE Trans. Biomed. Eng., 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

2020

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

Michael Kelley Erb, Daniel R. Karlin, Bryan Ho, Kevin Thomas, Federico Parisi, Gloria P. Vergara-Diaz, Jean-Francois Daneault, Paul W. Wacnik, Hao Zhang, Tairmae Kangarloo, Charmaine Demanuele, Chris R. Brooks, Craig N. Detheridge, Nina Shaafi Kabiri, Jaspreet Bhangu, Paolo Bonato

npj Digit. Medicine, 2020

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

Catherine P. Adans-Dester, Nicolas Hankov, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Sunghoon Ivan Lee, Paolo Bonato

npj Digit. Medicine, 2020

Detection of Subclinical Mild Traumatic Brain Injury (mTBI) Through Speech and Gait.

Tanya Talkar, Sophia Yuditskaya, James R. Williamson, Adam C. Lammert, Hrishikesh Rao, Daniel J. Hannon, Anne T. O'Brien, Gloria Vergara-Diaz, Richard DeLaura, Douglas E. Sturim, Gregory A. Ciccarelli, Ross Zafonte, Jeff Palmer, Paolo Bonato, Thomas F. Quatieri

Proceedings of the Interspeech 2020, 2020

Human balance models optimized using a large-scale, parallel architecture with applications to mild traumatic brain injury.

Gregory A. Ciccarelli, Michael Nolan, Hrishikesh M. Rao, Tanya Talkar, Anne T. O'Brien, Gloria Vergara-Diaz, Ross Zafonte, Thomas F. Quatieri, Ryan J. McKindles, Paolo Bonato, Adam C. Lammert

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2017

Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors.

Stefano Sapienza, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria Vergara-Diaz, Sunghoon Ivan Lee, Shyamal Patel, Randie Black-Schaffer, Ross Zafonte, Paolo Bonato, Claire Meagher, Ann-Marie Hughes, Jane H. Burridge, Danilo Demarchi

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2016

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

Björn M. Eskofier, Sunghoon Ivan Lee, Jean-Francois Daneault, Fatemeh Noushin Golabchi, Gabriela Ferreira-Carvalho, Gloria Vergara-Diaz, Stefano Sapienza, Gianluca Costante, Jochen Klucken, Thomas Kautz, Paolo Bonato

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016