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ORCIDGloria Vergara-Diaz
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Journal Articles
- 2021
[j4]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:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021)- [j3]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:
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Trans. Biomed. Eng. 68(6): 1871-1881 (2021) - 2020
- [j2]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:
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery. npj Digit. Medicine 3 (2020) - [j1]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:
mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease. npj Digit. Medicine 3 (2020)
Conference and Workshop Papers
- 2022
- [c5]Cristiana Ernesto, Federico Parisi, Catherine P. Adans-Dester, Anne T. O'Brien, Gloria Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Hugo Ferreira, Paolo Bonato:
Wearable Technology and Machine Learning to Monitor Upper-Limb Use in Brain Injury Survivors. CHASE 2022: 180-181 - 2020
- [c4]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:
Human balance models optimized using a large-scale, parallel architecture with applications to mild traumatic brain injury. HPEC 2020: 1-8 - [c3]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:
Detection of Subclinical Mild Traumatic Brain Injury (mTBI) Through Speech and Gait. INTERSPEECH 2020: 135-139 - 2017
- [c2]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:
Using a Minimum Set of Wearable Sensors to Assess Quality of Movement in Stroke Survivors. CHASE 2017: 284-285 - 2016
- [c1]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:
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment. EMBC 2016: 655-658
Coauthor Index
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