• Publications
  • Influence
Detection of movement intention from single-trial movement-related cortical potentials.
Detection of movement intention from neural signals combined with assistive technologies may be used for effective neurofeedback in rehabilitation. In order to promote plasticity, a causal relationExpand
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Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications
In recent years, the detection of voluntary motor intentions from electroencephalogram (EEG) has been used for triggering external devices in closed-loop brain-computer interface (BCI) research.Expand
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A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity
  • R. Xu, N. Jiang, +6 authors D. Farina
  • Medicine, Computer Science
  • IEEE Transactions on Biomedical Engineering
  • 26 March 2014
In this paper, we present a brain-computer interface (BCI) driven motorized ankle-foot orthosis (BCI-MAFO), intended for stroke rehabilitation, and we demonstrate its efficacy in inducing corticalExpand
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Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface.
Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke patients when applied over a large number of sessions. Here we evaluated the effect and the underlyingExpand
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A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials
OBJECTIVE Applications of brain-computer interfacing (BCI) in neurorehabilitation have received increasing attention. The intention to perform a motor task can be detected from scalp EEG and used toExpand
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Single-trial discrimination of type and speed of wrist movements from EEG recordings
OBJECTIVE The study explored the possibility of identifying movement type and speed from EEG recordings. METHODS EEG signals were acquired from 9 healthy volunteers during imagination of four tasksExpand
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Detection and classification of movement-related cortical potentials associated with task force and speed.
OBJECTIVE In this study, the objective was to detect movement intentions and extract different levels of force and speed of the intended movement from scalp electroencephalography (EEG). We thenExpand
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EMD-Based Temporal and Spectral Features for the Classification of EEG Signals Using Supervised Learning
This paper presents a novel method for feature extraction from electroencephalogram (EEG) signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the EMD gives anExpand
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Manipulation of Dysfunctional Spinal Joints Affects Sensorimotor Integration in the Prefrontal Cortex: A Brain Source Localization Study
Objectives. Studies have shown decreases in N30 somatosensory evoked potential (SEP) peak amplitudes following spinal manipulation (SM) of dysfunctional segments in subclinical pain (SCP)Expand
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Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials
This paper proposes the development and experimental tests of a self-paced asynchronous brain-computer interfacing (BCI) system that detects movement related cortical potentials (MRCPs) producedExpand
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