2016 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2016
DOI: 10.1109/robio.2016.7866436
|View full text |Cite
|
Sign up to set email alerts
|

Pilot study of single-legged walking support using wearable robot based on synchronization control for stroke patients

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
4
3
1

Relationship

1
7

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 21 publications
0
3
0
Order By: Relevance
“…In contrast, the CPG proposed for the Curara prototype simulated the excitation and inhibition of neurons of the central nervous system. It used the interaction torque between the robot and the impaired limb to estimate the gait phase and generate an assistive reference trajectory from a predefined pattern ( Tsukahara and Hashimoto, 2016 ; Mizukami et al, 2018 ). Other authors opted for synchronizing the CPG output with the detection of floor contact events ( Dzeladini et al, 2016 ; Tamburella et al, 2020 ) or with the estimated knee torque from the knee flexor/extensor EMG ( Gui et al, 2017 ).…”
Section: State Of the Artmentioning
confidence: 99%
“…In contrast, the CPG proposed for the Curara prototype simulated the excitation and inhibition of neurons of the central nervous system. It used the interaction torque between the robot and the impaired limb to estimate the gait phase and generate an assistive reference trajectory from a predefined pattern ( Tsukahara and Hashimoto, 2016 ; Mizukami et al, 2018 ). Other authors opted for synchronizing the CPG output with the detection of floor contact events ( Dzeladini et al, 2016 ; Tamburella et al, 2020 ) or with the estimated knee torque from the knee flexor/extensor EMG ( Gui et al, 2017 ).…”
Section: State Of the Artmentioning
confidence: 99%
“…Prioritizing user-friendliness in terms of ease in don/doffing and minimizing the restraining stress against the natural human movement, Mizukami et al adopted a non-exoskeletal structure coupled with a synchronization-based control system, introducing the ability to feel what natural movement would be like. Due to the absence of any rigid connection between joint frames, the device provides a high degree of freedom for patient movement ( Tsukahara and Hashimoto, 2016 ; Tsukahara et al, 2017 ; Mizukami et al, 2018 ). Lee et al developed a smart wearable hip-assist robot for restoring the locomotor function, the Gait Enhancing and Motivating System (GEMS, Samsung Advanced Institute of Technology, Suwon, South Korea).…”
Section: Home-based Rehabilitation Systemsmentioning
confidence: 99%
“…Wearable assistive devices have been developed recently to prolong the health spans of the elderly or to reduce heavy manual labor [1][2][3]. These devices are required to provide flexible assistance in a safe and natural way.…”
Section: Introductionmentioning
confidence: 99%