Paper Info
Title
Hierarchical task ordering for time reduction on KINARM assessment protocol.
Abstract
Advances in robotic technologies offer objective, highly reliable tools for assessment of brain function following stroke. KINARM is an exoskeleton device that uses a number of behavioral tasks to objectively quantify sensorimotor, proprioceptive and cognitive brain function. As more tasks are developed to more broadly assess different aspects of behavior using the robot, different strategies are required to reduce the overall assessment time. The present study investigates how non-linear hierarchical ordering theory can be applied to determine the ordering on a set of four tasks on the KINARM exoskeleton robot. Evaluation is based on task discretization, which determines whether an individual passes or fails a certain task on the robot. Results of the study suggest an ordering which determines the results of success or failure on a sensorimotor task for the unaffected arm of stroke survivors based on the assessment results of a ball drop object-hit task with 97% confidence. This can be used to reduce the assessment time by over eight minutes for a subgroup of stroke survivors compared to the current KINARM assessment protocol.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6944134
EMBC
Keywords
Field
DocType
medical robotics,behavioral tasks,time reduction,cognition,neurophysiology,proprioceptive brain function,cognitive brain function,nonlinear hierarchical ordering theory,task discretization,hierarchical ordering,kinarm,stroke assessment,ball drop object-hit task,stroke survivors,kinarm exoskeleton robot,brain,sensorimotor task,exoskeleton device,kinarm assessment protocol,hierarchical task ordering
Computer science,Artificial intelligence
Conference
Volume
ISSN
Citations 
2014
1557-170X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Sayyed Mostafa Mostafavi121.10
Sean P Dukelow200.34
Stephen H Scott300.34
P. Mousavi4425.62