TY - GEN
T1 - Assessing the Cognitive Demand of Hand Controlled Exoskeleton Walking
AU - Karunakaran, Kiran K.
AU - Foulds, Richard A.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Individuals with spinal cord injury have motor and sensory deficits leading to ambulatory problems. Our current research is focused on developing innovative control mechanisms for wearable robotic exoskeletons to provide such users with complete control of their gait while allowing them to perform other activities (such as conversing, etc.). In this study, we evaluated the cognitive load due to using the user's hand movement to control the gait of a robot using a dual-task paradigm. The results show that there was no difference in symmetry and duty cycle between with and without a competing cognitive task, and the number of cognitive responses was similar to healthy controls walking on the treadmill. There was also no difference in obstacle navigation with and without the cognitive task. Results of this study suggest that using our control mechanisms is intuitive, easy to learn, and requires cognitive attention that is similar to normal human walking. Clinical Relevance - Initial evidence to understand the effects of the novel control mechanism on cognitive load over that of typical walking.
AB - Individuals with spinal cord injury have motor and sensory deficits leading to ambulatory problems. Our current research is focused on developing innovative control mechanisms for wearable robotic exoskeletons to provide such users with complete control of their gait while allowing them to perform other activities (such as conversing, etc.). In this study, we evaluated the cognitive load due to using the user's hand movement to control the gait of a robot using a dual-task paradigm. The results show that there was no difference in symmetry and duty cycle between with and without a competing cognitive task, and the number of cognitive responses was similar to healthy controls walking on the treadmill. There was also no difference in obstacle navigation with and without the cognitive task. Results of this study suggest that using our control mechanisms is intuitive, easy to learn, and requires cognitive attention that is similar to normal human walking. Clinical Relevance - Initial evidence to understand the effects of the novel control mechanism on cognitive load over that of typical walking.
UR - http://www.scopus.com/inward/record.url?scp=85138127405&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138127405&partnerID=8YFLogxK
U2 - 10.1109/EMBC48229.2022.9871565
DO - 10.1109/EMBC48229.2022.9871565
M3 - Conference contribution
C2 - 36085752
AN - SCOPUS:85138127405
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4338
EP - 4341
BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Y2 - 11 July 2022 through 15 July 2022
ER -