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; et al. (CHASE, 2017)

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 (HPEC, 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 002; Daniel J. Hannon; Anne T. O'Brien; Gloria Vergara-Diaz; Richard DeLaura; Douglas E. Sturim; Gregory A. Ciccarelli; Ross Zafonte; et al. (INTERSPEECH, 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)

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)

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 001; Paolo Bonato (CHASE, 2022)