Diogo S. de Lucena

According to our database, Diogo S. de Lucena authored at least 7 papers between 2017 and 2023.

Collaborative distances:

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

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

2020

Effects of a Soft Robotic Glove using a High Repetition Protocol in Chronic Stroke: A Pilot Study.

Kristin Nuckols, Cameron J. Hohimer, Christina M. Glover, Diogo S. de Lucena, Will Moyo, Diana Wagner, Alison Cloutier, David J. Lin, Conor J. Walsh

Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2018

Design and Control of a Novel Grip Amplifier to Support Pinch Grip with a Minimal Soft Hand Exoskeleton.

Quentin Sanders, Shusuke Okita, Joan Lobo-Prat, Diogo Schwerz de Lucena, Brendan W. Smith, David J. Reinkensmeyer

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

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