AIMC Topic: Lower Extremity
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Online sparse Gaussian process based human motion intent learning for an electrically actuated lower extremity exoskeleton.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
The most important step for lower extremity exoskeleton is to infer human motion intent (HMI), which contributes to achieve human exoskeleton collaboration. Since the user is in the control loop, the relationship between human robot interaction (HRI)...
Preliminary assessment of a lower-limb exoskeleton controller for guiding leg movement in overground walking.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
This paper describes the design, implementation, and preliminary validation of a controller for a powered lower-limb exoskeleton that reshapes a user's leg movement during over-ground walking. The intended application of the controller is to facilita...
Toward goal-oriented robotic gait training: The effect of gait speed and stride length on lower extremity joint torques.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Robot-assisted gait training is becoming increasingly common to support recovery of walking function after neurological injury. How to formulate controllers capable of promoting desired features in gait, i.e. goals, is complicated by the limited unde...
Research of the BWS system for lower extremity rehabilitation robot.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Body weight support (BWS) system is increasingly used in conjunction with treadmills to assist the patients with neurological impairments. Owing to lower limbs of the patients unable to bear the whole weight during the rehabilitation training, some w...
The effect of haptic interaction between balance assessment robot and pelvis on muscle activation of leg muscles.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jul 1, 2017
Admittance control is considered as a promising paradigm in rehabilitation that provides us with means to establish well controlled and adjustable interaction and cooperation between rehabilitation devices and patients. Recently we developed balance ...
Use of Lower-Limb Robotics to Enhance Practice and Participation in Individuals With Neurological Conditions.
Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association
Jul 1, 2017
PURPOSE: To review lower-limb technology currently available for people with neurological disorders, such as spinal cord injury, stroke, or other conditions. We focus on 3 emerging technologies: treadmill-based training devices, exoskeletons, and oth...
User intent prediction with a scaled conjugate gradient trained artificial neural network for lower limb amputees using a powered prosthesis.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees st...
Simulation of fluid environment using a robotic orthosis on human lower extremity for therapeutic purposes.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Rehabilitation under water is a viable physical rehabilitation option, but it has some limitations in terms of adapting to needs of each patient. In addition, its facility requirements are relatively high. Simulating the fluid environment using a rob...
Activity recognition in patients with lower limb impairments: do we need training data from each patient?
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Machine learning allows detecting specific physical activities using data from wearable sensors. Such a quantification of patient mobility over time promises to accurately inform clinical decisions for physical rehabilitation. There are two strategie...
Quantifying the human-robot interaction forces between a lower limb exoskeleton and healthy users.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
To counter the many disadvantages of prolonged wheelchair use, patients with spinal cord injuries (SCI) are beginning to turn towards robotic exoskeletons. However, we are currently unaware of the magnitude and distribution of forces acting between t...
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