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Publications associées (29)

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Directional Local Field Potentials in the Subthalamic Nucleus During Deep Brain Implantation of Parkinson's Disease Patients

André Mercanzini

Segmented deep brain stimulation leads feature directional electrodes that allow for a finer spatial control of electrical stimulation compared to traditional ring-shaped electrodes. These segmented leads have demonstrated enlarged therapeutic windows and ...

2020

The current state and future outlook of rescue robotics

Auke Ijspeert, Dario Floreano, Roland Siegwart, Stefano Mintchev, Davide Scaramuzza, Kamilo Andres Melo Becerra, Tomislav Horvat

Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real‐world environments. Postdisaster scenarios are a particularly rel ...

2019

Wearable exoskeletons to support ambulation in people with neuromuscular diseases, design rules and control

Amalric Louis Ortlieb

Neuromuscular diseases are degenerative and, thus far, incurable disorders that lead to large muscle wasting. They result in constant deterioration of activities of daily living and in particular of ambulation. Some common types include Duchenne muscular d ...

EPFL2019

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

Friedhelm Christoph Hummel, Traian Popa, Pablo Maceira Elvira, Anne-Christine Schmid

Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by ...

BioMed Central2019

Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks

Silvestro Micera

BackgroundTo assist people with disabilities, exoskeletons must be provided with human-robot interfaces and smart algorithms capable to identify the user's movement intentions. Surface electromyographic (sEMG) signals could be suitable for this purpose, bu ...

BioMed Central2019

Designing Configurable Arm Rehabilitation Games: How Do Different Game Elements Affect User Motion Trajectories?

Pierre Dillenbourg, Friedhelm Christoph Hummel, Wafa Monia Benkaouar Johal, Maximilian Jonas Wessel, Thibault Lucien Christian Asselborn, Arzu Güneysu Özgür, Ayberk Özgür, Jennifer Kaitlyn Olsen

For successful rehabilitation of a patient after a stroke or traumatic brain injury, it is crucial that rehabilitation activities are motivating, provide feedback and have a high rate of repetitions. Advancements in recent technologies provide solutions to ...

IEEE2019

Shared human–robot proportional control of a dexterous myoelectric prosthesis

Aude Billard, Silvestro Micera, Fiorenzo Artoni, Francesco Maria Petrini, Edoardo D'Anna, Nicolas Sommer, Vincent Alexandre Mendez, Emanuele Formento, Katie Zhi Zhuang, Saurav Aryan

Myoelectric prostheses allow users to recover lost functionality by controlling a robotic device with their remaining muscle activity. Such commercial devices can give users a high level of autonomy, but still do not approach the dexterity of the intact hu ...

2019

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Alexandre Massoud Alahi

Early and frequent patient mobilization substantially mitigates risk for post-intensive care syndrome and long-term functional impairment. We developed and tested computer vision algorithms to detect patient mobilization activities occurring in an adult IC ...

Springer2019

Torso-mounted Vibrotactile Interface to Experimentally Induce Illusory Own-body Perceptions

Olaf Blanke, Hannes Bleuler, Giulio Rognini

Recent developments in virtual reality and robotic technologies have allowed investigating the behavioural and brain mechanisms that grounds self-consciousness in the multisensory (e.g. vision and touch) and sensorimotor processing of bodily signals. Yet, ...

IEEE2019