Matthew W. Kindig
Papers
7
Total Citations
128
H-Index
7
About
Matthew W. Kindig is a biomedical researcher whose work sits at the intersection of rehabilitation engineering, neuromuscular science, and spinal cord injury (SCI) recovery. He has made significant contributions to understanding how robotic-assisted locomotor training — particularly using the Lokomat gait orthosis — can address the neuromuscular abnormalities associated with incomplete SCI, including spasticity and impaired walking capacity. His research has advanced the field by applying sophisticated tools such as system identification and longitudinal statistical modeling to rigorously quantify treatment outcomes, moving beyond simple group averages to explain why individuals respond differently to robotic rehabilitation. Kindig's studies demonstrated measurable improvements in stretch reflex function, ankle joint control, and walking speed following structured Lokomat training, providing evidence-based guidance for clinical protocols. His most-cited work (39 citations) on predicting gait recovery highlights a clinically meaningful effort to personalize rehabilitation strategies. More recently, he expanded into biomechanical measurement methodology, investigating shear wave speed as a tool for quantifying Achilles tendon stress during gait. With cumulative citations exceeding 125 across his key publications, Kindig's research offers valuable insights for clinicians, engineers, and students working to improve mobility outcomes in individuals living with spinal cord injury.
Research Focus
Key Achievements
Top Papers
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- 6The effect of robot-assisted locomotor training on walking speed8 citations · 2012
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