Simone Appaqaq
Papers
2
Total Citations
74
H-Index
2
About
Simone Appaqaq is a researcher advancing the precision of neurological assessment through robotic technology. Her primary research focuses on quantifying motor, sensory, and cognitive performance using the Kinarm robotic system, a tool designed to detect subtle neurological impairments that traditional clinical exams might miss. Her most cited work, "Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing" (2020, 59 citations), establishes critical benchmarks by determining 5-95% confidence intervals for task parameters across repeated sessions. This foundational study provides thresholds for distinguishing true neurological change from normal variability, directly improving the sensitivity of robotic assessments for conditions like stroke or traumatic brain injury. Appaqaq also published a correction (2023, 15 citations) refining these methods and results, demonstrating her commitment to methodological rigor. By enabling more precise, repeatable measurements of brain function, her contributions help bridge the gap between coarse clinical scales and the nuanced reality of neurological recovery. For students and researchers, her work underscores the power of robotics and statistics in transforming how we detect and track changes in the human brain.
Research Focus
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Top Papers
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