Vicky Chan

According to our database, Vicky Chan authored at least 11 papers between 2011 and 2024.

Collaborative distances:

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

2024

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

2023

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

2022

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

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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Proceedings of the International Conference on Rehabilitation Robotics, 2017

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

Proceedings of the International Conference on Rehabilitation Robotics, 2017

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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Robot-assisted Guitar Hero for finger rehabilitation after stroke.

Hossein Taheri, Justin B. Rowe, David Gardner, Vicky Chan, David J. Reinkensmeyer, Eric T. Wolbrecht

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

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

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011