Guillaume Durandau

Guillaume Durandau
University of Twente | UT · Department of Biomechanical Engineering

About

23
Publications
9,640
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
265
Citations

Publications

Publications (23)
Preprint
Full-text available
Embodied agents in continuous control domains have had limited exposure to tasks allowing to explore musculoskeletal properties that enable agile and nimble behaviors in biological beings. The sophistication behind neuro-musculoskeletal control can pose new challenges for the motor learning community. At the same time, agents solving complex neural...
Chapter
Neuromusculoskeletal modeling driven by electromyograms (EMG) has shown the ability to predict joint torque for a wide variety of movements. Taking advantage of this, we connected a real-time version of an EMG-driven model to a bilateral ankle exoskeleton to continuously assist during a wide repertory of locomotion tasks. The advantage is that the...
Preprint
To enable the broad adoption of wearable robotic exoskeletons in medical and industrial settings, it is crucial they can effectively support large repertoires of movements. We propose a new human-machine interface to drive bilateral ankle exoskeletons during a range of 'unseen' walking conditions that were not used for establishing the control inte...
Article
Full-text available
Despite advances in mechatronic design, the widespread adoption of wearable robots for supporting human mobility has been hampered by 1) ergonomic limitations in rigid exoskeletal structures and 2) the lack of human–machine interfaces (HMIs) capable of sensing musculoskeletal states and translating them into robot-control commands. We have develope...
Article
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal
Article
Full-text available
Background: Research efforts in neurorehabilitation technologies have been directed towards creating robotic exoskeletons to restore motor function in impaired individuals. However, despite advances in mechatronics and bioelectrical signal processing, current robotic exoskeletons have had only modest clinical impact. A major limitation is the inab...
Conference Paper
An important goal in the design of next-generation exoskeletons and limb prostheses is to replicate human limb dynamics. Joint impedance determines the dynamic relation between joint displacement and torque. Joint stiffness is the position-dependent component of joint impedance and is key in postural control and movement. However, the mechanisms to...
Conference Paper
Joint stiffness estimation under dynamic conditions still remains a challenge. Current stiffness estimation methods often rely on the external perturbation of the joint. In this study, a novel 'perturbation-free' stiffness estimation method via electromyography (EMG)-driven musculoskeletal modeling was validated for the first time against system id...
Chapter
Recent effort in exoskeleton control resulted in reduction of human metabolic consumption during ground-level walking. In this context, solutions that would enable biomechanical and metabolic benefits across large repertoires of motor tasks would be central in supporting the human in both medical and industrial scenarios. With this idea in mind we...
Chapter
Mind controlled bionic limbs promise to replace mechanical function of lost biological extremities and restore amputees’ motor capacity. State of the art approaches use machine learning for establishing a mapping function between electromyography (EMG) and joint kinematics. However, current approaches require frequent recalibration with lack of rob...
Chapter
Advances in neurophysiology are enabling understanding the neural processing underlying human movement, i.e. the recruitment of spinal motor neurons and the transmission of the resulting neural drive to the innervated muscle fibers. Similarly, advances in musculoskeletal modeling are enabling understanding movement mechanics at the level of muscle...
Article
Full-text available
Objectives: Robotic prosthetic limbs promise to replace mechanical function of lost biological extremities and restore amputees' capacity of moving and interacting with the environment. Despite recent advances in biocompatible electrodes, surgical procedures, and mechatronics, the impact of current solutions is hampered by the lack of intuitive an...
Article
Full-text available
Objective: Current clinical biomechanics involves lengthy data acquisition and time-consuming offline analyses with biomechanical models not operating in real-time for man-machine interfacing. We developed a method that enables online analysis of neuromusculoskeletal function in vivo in the intact human. Methods: We used electromyography (EMG)-d...
Chapter
Real-time electromyography (EMG) driven musculoskeletal (NMS) modeling estimates internal body biomechanical parameters and motor intentions. This is central for understanding the dynamics of user-exoskeleton interaction and for developing closed-loop user-exoskeleton interfaces that are intuitive and effective in promoting neuroplasticity. This ab...
Chapter
This abstract outlines how musculoskeletal modeling formulations driven by electrophysiological recordings can be used to understand the complex dynamics of human-machine interaction in healthy and impaired individuals wearing lower limb orthoses. We investigate two scenarios. The first involves a healthy individual walking with a powered exoskelet...
Article
EMG-driven modeling has been mostly used offline and on powerful desktop computers, limiting the application of this technique to neurorehabilitation settings. In this paper, we demonstrate the use of EMG-driven modeling in online (i.e. in real-time) running on a fully portable embedded system and interfaced concurrently with a powered lower limb e...
Conference Paper
Full-text available
This paper deals with designing, developing and building one degree of freedom orthosis based on an active compliant actuator. To know human's intentions and the desired movements beforehand, we opted for electromyogram (EMG) signals collected by surface electrodes. Processing the EMG signals and controlling the orthosis are integrated into a unifi...
Conference Paper
Full-text available
In this paper, we present a control method of robotic system using electromyography (EMG) signals collected by surface EMG electrodes. The EMG signals are analyzed using a neuromusculoskeletal (NMS) model that represents at the same time the muscle and the skeleton of the body. It has the advantage of adding external forces to the model without cha...

Network

Cited By

Projects

Projects (2)
Project
SimBionics will combine neuro-mechanical modelling and sensory feedback into a real-time, closed-loop and biomimetic control framework for bionic legs
Project
Develop computational and robotic technologies for controlling neuromuscular adaptation over time in the intact moving human.