Concept

Electromyography

Related publications (84)

Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals

This paper proposes a method to assess the overall fatigue of human body movement. First of all, according to previous research regarding localized muscular fatigue, a linear relation is assumed between the mean frequency and the muscular working time when ...

Mdpi Ag2014

Assessing dystrophies and other muscle diseases at the nanometer scale by atomic force microscopy

Giovanni Dietler, Harald Brune, Andrzej Kulik, Nicolas Mermod, Guillaume Witz, Stefania Puttini

Aim: Atomic force microscopy nanoindentation of myofibers was used to assess and quantitatively diagnose muscular dystrophies from human patients. Materials & methods: Myofibers were probed from fresh or frozen muscle biopsies from human dystrophic patient ...

Future Medicine2014

The effect of arm weight support on upper limb muscle synergies during reaching movements

Silvestro Micera, Martina Coscia

Background: Compensating for the effect of gravity by providing arm-weight support (WS) is a technique often utilized in the rehabilitation of patients with neurological conditions such as stroke to facilitate the performance of arm movements during therap ...

Biomed Central Ltd2014

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Barbara Caputo

There has been increasing interest in applying learning algorithms to improve the dexterity of myoelectric prostheses. In this work, we present a large-scale benchmark evaluation on the second iteration of the publicly released NinaPro database, which cont ...

2014

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Barbara Caputo

Stable myoelectric control of hand prostheses remains an open problem. The only successful human–machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to re ...

2014

EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study

Silvestro Micera

Background: Several studies investigating the use of electromyographic (EMG) signals in robot-based stroke neurorehabilitation to enhance functional recovery. Here we explored whether a classical EMG-based patterns recognition approach could be employed to ...

BioMed Central2013

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Barbara Caputo, Tatiana Tommasi

At the time of this writing, the main means of control for polyarticulated self-powered hand prostheses is surface electromyography (sEMG). In the clinical setting, data collected from two electrodes are used to guide the hand movements selecting among a f ...

Ieee-Inst Electrical Electronics Engineers Inc2013

PDMS Microchannel Regenerative Peripheral Nerve Interface

Stéphanie Lacour, Katherine Marie Musick

We have fabricated a soft silicone structure to support the regeneration of a sciatic nerve. The device consists of 70 parallel (120 x 110 mu m(2)) channels through which axons extend and then reconnect to the muscles on the other side of the device. Throu ...

Ieee2013

MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support

Silvestro Micera, Andrea Crema, Claudia Casellato

Background: MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand functions. It aims at achieving personalization, modularity and maximization of the user's direct inv ...

Biomed Central Ltd2013

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Barbara Caputo, Tatiana Tommasi

At the time of writing, highly dexterous hand prostheses are being manufactured and, to some extent, marketed. This means wearable, implantable mechanical hands with many independently controllable degrees of freedom, e.g. finger flexion and thumb rotation ...

Idiap2012

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