MusicGlove: Motivating and quantifying hand movement rehabilitation by using functional grips to play music. - Nizan Friedman; Vicky Chan; Danny Zondervan; Mark Bachman; David J. Reinkensmeyer (EMBC, 2011)

Robot-assisted Guitar Hero for finger rehabilitation after stroke. - Hossein Taheri; Justin B. Rowe; David Gardner; Vicky Chan; David J. Reinkensmeyer; Eric T. Wolbrecht (EMBC, 2012)

The variable relationship between arm and hand use: A rationale for using finger magnetometry to complement wrist accelerometry when measuring daily use of the upper extremity. - Justin B. Rowe; Nizan Friedman; Vicky Chan; Steven C. Cramer; Mark Bachman; David J. Reinkensmeyer (EMBC, 2014)

Feasibility of a bimanual, lever-driven wheelchair for people with severe arm impairment after stroke. - Brendan W. Smith; Daniel K. Zondervan; Thomas J. Lord; Vicky Chan; David J. Reinkensmeyer (EMBC, 2014)

Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery. - Diogo S. de Lucena; Oliver Stoller; Justin B. Rowe; Vicky Chan; David J. Reinkensmeyer (ICORR, 2017)

There is plenty of room for motor learning at the bottom of the Fugl-Meyer: Acquisition of a novel bimanual wheelchair skill after chronic stroke using an unmasking technology. - Yasemin Sarigul-Klijn; Joan Lobo-Prat; Brendan W. Smith; Sage Thayer; Daniel Zondervan; Vicky Chan; Oliver Stoller; David J. Reinkensmeyer (ICORR, 2017)

Measuring Movement Quality of the Stroke-Impaired Upper Extremity with a Wearable Sensor: Toward a Smoothness Metric for Home Rehabilitation Exercise Programs. - Shusuke Okita; Diogo Schwerz de Lucena; Vicky Chan; David J. Reinkensmeyer (EMBC, 2021)

Magnetically Counting Hand Movements: Validation of a Calibration-Free Algorithm and Application to Testing the Threshold Hypothesis of Real-World Hand Use after Stroke. - Diogo Schwerz de Lucena; Justin B. Rowe; Vicky Chan; David J. Reinkensmeyer (Sensors, 2021)

Providing Real-Time Wearable Feedback to Increase Hand Use after Stroke: A Randomized, Controlled Trial. - Diogo Schwerz de Lucena; Justin B. Rowe; Shusuke Okita; Vicky Chan; Steven C. Cramer; David J. Reinkensmeyer (Sensors, 2022)

Counting Finger and Wrist Movements Using Only a Wrist-Worn, Inertial Measurement Unit: Toward Practical Wearable Sensing for Hand-Related Healthcare Applications. - Shusuke Okita; Roman Yakunin; Jathin Korrapati; Mina Ibrahim; Diogo Schwerz de Lucena; Vicky Chan; David J. Reinkensmeyer (Sensors, 2023)

The weak relationship between ankle proprioception and gait speed after stroke a robotic assessment study. - Christopher A. Johnson; Piyashi Biswas; Rubi Tapia; Jill See; Lucy Dodakian; Vicky Chan; Po T. Wang; Zoran Nenadic; An H. Do; David J. Reinkensmeyer (CoRR, 2024)

The Relationship Between Stroke-Related Cognitive Impairment and Robotic Proprioceptive Assessment. - Caitlin M. Callaghan; Christopher A. Johnson; Piyashi Biswas; Jill See; Lucy Dodakian; Vicky Chan; Po T. Wang; Steven C. Cramer; Zoran Nenadic; An H. Do; David J. Reinkensmeyer (ICORR, 2025)

Markerless Motion Capture Enhances Clinical Assessments: Preliminary Validation with the Box and Blocks Test. - Andria J. Farrens; Vicky Chan; Luis Garcia-Fernandez; Ziqiang "Joe" Zhu; Jun Min Kim; Matthew Karl Farrens; Samuel T. King (ICORR, 2025)

A Novel Robotic Technique for Evaluating Thumb Proprioception Predicts Hand Function After Stroke. - Luis Garcia-Fernandez; Andria J. Farrens; Raymond Rojas; Vicky Chan; Eric T. Wolbrecht; Joel C. Perry; David J. Reinkensmeyer (ICORR, 2025)

Using a Robotic Device to Quantify the Impact of Conventional Gait Training on Ankle Proprioception After Stroke. - Christopher A. Johnson; Piyashi Biswas; Jill See; Olivia Briendel; Vicky Chan; Lucy Dodakian; Po T. Wang; Zoran Nenadic; Steven C. Cramer; An Do; David J. Reinkensmeyer (ICORR, 2025)