Publication

Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

Related publications (78)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

, , ,

Brain-machine interfaces (BMIs) provide a new assistive strategy aimed at restoring mobility in severely paralyzed patients. Yet, no study in animals or in human subjects has indicated that long-term BMI training could induce any type of clinical recovery. ...

Nature Publishing Group2016

Brain-machine interfaces (BMIs) have demonstrated how they can be used for reaching tasks with both invasive and non-invasive signal recording methods. Despite the constant improvements in this field, there still exist diverse factors to overcome before ac ...

2015

Brain-Machine Interfaces: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

A brain-machine interface (BMI) is about transforming neural activity into action and sensation into perception (Figure 1). In a BMI system, neural signals recorded from the brain are fed into a decoding algorithm that translates these signals into motor o ...

2015

Human brain is organized by a large number of functionally correlated but spatially distributed cortical neurons. Cognitive processes are usually associated with dynamic interactions among multiple brain regions. Therefore, the understanding of brain funct ...

EPFL2015

Local field potentials in primate motor cortex encode grasp kinetic parameters

Tomislav Milekovic

Reach and grasp kinematics are known to be encoded in the spiking activity of neuronal ensembles and in local field potentials (LFPs) recorded from primate motor cortex during movement planning and execution. However, little is known, especially in LFPs, a ...

Elsevier2015

Detecting intention to grasp during reaching movements from EEG

José del Rocio Millán Ruiz, Luca Randazzo, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil

Abstract—Brain-computer interfaces (BCI) have been shown to be a promising tool in rehabilitation and assistive scenarios. Within these contexts, brain signals can be decoded and used as commands for a robotic device, allowing to translate user’s intention ...

2015

, , , ,

While there have been numerous studies of the vestibular system in mammals, less is known about the brain mechanisms of vestibular processing in humans. In particular, of the studies that have been carried out in humans over the last 30 years, none has inv ...

American Physiological Society2015

, , , ,

This chapter provides an overview of the functionality and the underlying principles of the brain-computer interfaces (BCI) developed by the Chair in Non-Invasive Brain-Machine Interface (CNBI) of the Swiss Federal Institute of Technology (EPFL), as well a ...

Springer Netherlands2015

Quantifying electrode reliability during Brain-Computer Interface operation

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Serafeim Perdikis, Hesam Sagha

One of the problems of non-invasive Brain-Computer Interface (BCI) applications is the occurrence of anomalous (unexpected) signals that might degrade BCI performance. This situation might slip the operator’s attention since raw signals are not usually con ...

Institute of Electrical and Electronics Engineers2015

Structured Sampling and Recovery of iEEG Signals

Volkan Cevher, Mahsa Shoaran, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre

Wireless implantable devices capable of monitoring the electrical activity of the brain are becoming an important tool for understanding, and potentially treating, mental diseases such as epilepsy and depression. Compressive sensing (CS) is emerging as a p ...

2015