Concept

Electromyography

Related publications (31)

A Adaptive Algorithm for Online Interference Cancellation in EMG Sensors

One of the biggest issues encountered in the analysis of sensitive electromyography (EMG) sensor data is the power line interference (PLI). Conventional methods in literature either lose valuable sensor data or inadequately decrease the power line noise. I ...

2019

Myoelectric activity imaging and decoding with multichannel surface EMG for enhanced everyday life applicability

Silvestro Micera, Fiorenzo Artoni

Surface electromyography (sEMG) allows to evaluate neurophysiological aspects of movements. The traditional muscle-specific sEMG approach requires considerable expertise to correctly position bipolar derivations over each muscle of interest. This reduces t ...

IEEE2019

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

An Event-Driven Closed-Loop System for Real-Time FES Control

Silvestro Micera, Danilo Demarchi, Andrea Crema

Active functional rehabilitation procedures, exoskeleton application and prosthesis employment are essential tools for the society life reinstatement of subjects affected by neuromuscular disorders or victims of serious physical accident. In this paper we ...

IEEE2019

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

Muscle activities in similar arms performing identical tasks reveal the neural basis of muscle synergies

Martina Coscia

Are the muscle synergies extracted from multiple electromyographic signals an expression of neural information processing, or rather a by-product of mechanical and task constraints? To address this question, we asked 41 right-handed adults to perform a var ...

SPRINGER2020

Optimal integration of intraneural somatosensory feedback with visual information: a single-case study

Silvestro Micera, Ivo Strauss, Giacomo Valle

Providing somatosensory feedback to amputees is a long-standing objective in prosthesis research. Recently, implantable neural interfaces have yielded promising results in this direction. There is now considerable evidence that the nervous system integrate ...

Nature Research2019

Neural and muscular factors both contribute to plantar-flexor muscle weakness in older fallers

Jean-Baptiste Mignardot

Plantar-flexor muscles are key muscles in the control of postural sway. Older fallers present lower maximal plantar-flexor performance than older non-fallers; however, the mechanisms underlying this motor impairment remain to be elucidated. This study aime ...

PERGAMON-ELSEVIER SCIENCE LTD2018

PCA and deep learning based myoelectric grasping control of a prosthetic hand

Huaiqi Huang

Background: For the functional control of prosthetic hand, it is insufficient to obtain only the motion pattern information. As far as practicality is concerned, the control of the prosthetic hand force is indispensable. The application value of prosthetic ...

2018

A Closed-Loop EMG-Assisted Shoulder Model

Ehsan Sarshari

The human shoulder is a complex musculoskeletal system. Knowledge about its kinematics and dynamics can help improve associated treatments. However, to date direct measurements of these quantities can be only granted through invasive investigations or expe ...

EPFL2018

Long-term functionality of a soft electrode array for epidural spinal cord stimulation in a minipig model

Stéphanie Lacour, Grégoire Courtine, Jocelyne Bloch, Marco Capogrosso, Giuseppe Schiavone, Florian Dylan Fallegger, Nicolas Vachicouras, Fabien Bertrand Paul Wagner, Xiaoyang Kang

Long-term biointegration of man-made neural interfaces is influenced by the mechanical properties of the implant materials. Substantial experimental work currently aims at replacing conventional hard implant materials with soft alternatives that can favour ...

IEEE2018