Abstract:
This case series cohort study investigated gait characteristics based on sensor data obtained from personalized active powered lower limb exoskeletal robot-assisted gait ...Show MoreMetadata
Abstract:
This case series cohort study investigated gait characteristics based on sensor data obtained from personalized active powered lower limb exoskeletal robot-assisted gait training and assessed its putative therapeutic effects in patients with stroke. Preliminary findings suggest that the application of the exoskeletal robot did not improve gait symmetry under robot assistance and could facilitate inter-joint coordination within the hip-knee joint movement on the affected side. These findings suggest that robot-assisted gait training could improve gait by guiding motor learning.
Published in: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Date of Conference: 31 October 2023 - 03 November 2023
Date Added to IEEE Xplore: 20 November 2023
ISBN Information: