Publications de Andrea Biasiucci

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Neurotechnology is the application of scientific knowledge to the practical purpose of understanding, interacting and/or repairing the brain or, in a broader sense, the nervous system. The development of novel approaches to decode functional information fr ...

OBJECTIVES: Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI exp ...

Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human co ...

Non–Invasive Brain–Computer Interfaces (BCI) convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of mental tasks execution could support the positive effects of standard therapies. In this paper we combine time-f ...

Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characteristics, user expectations, or user motor patterns due to learning or aging. ...

Objective To evaluate the effects of electrically assisted movement therapy (EAMT) in which patients use functional electrical stimulation, modulated by a custom device controlled through the patient's unaffected hand, to produce or assist task-specific up ...

Non-invasive "drawable", or "paintable", electrode for electrical stimulation or biological signal sensing comprising a pervious and electrically conductive layer (1), at least one electrically insulating element (2) for maintaining the electrically conduc ...

Brain-Computer Interfaces (BCIs) are no longer only used by healthy subjects under control conditions in laboratory environments, but by patients controlling applications at their homes, without the BCI experts around. But are the technology and the field ...

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

Transcranial Direct Current Stimulation (tDCS) has been shown to selectively modulate cortical responses in memory, motor and perceptual tasks. Here we show that this type of stimulation results in targeted enhancement of brain patterns elicited during mot ...

Brain-Computer Interfaces convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of the execution of mental tasks could support the positive effects of the therapy by reinforcing specific mental patterns. We propose ...

Brain-Computer Interfaces (BCIs) provide a mean to access the damaged motor network of the brain after stroke, and could be used to drive and promote beneficial plasticity. Among the available therapeutic approaches, Functional Electrical Stimulation (FES) ...

Neuroprosthetic device for restoring daily-life action movements of upper limbs in patients suffering from motor impairments. The neuroprosthetic device comprises several non-invasive electrodes adapted to be fixed on a patient body, in a way as to stimula ...

The goal of our research is to enable various end-users to control applications by using a brain-computer interface (BCI). Since applications–like telepresence robots, wheelchairs or text entry systems–are quite demanding a good level of BCI control is nee ...

Andrea Biasiucci

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Neurotechnology for Brain Repair : Imaging, Enhancing and Restoring Human Motor Function

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials

Combining Discriminant and Topographic Information in BCI: Preliminary Results on Stroke Patients

On the use of brain decoded signals for online user adaptive gesture recognition systems

Electrically Assisted Movement Therapy in Chronic Stroke Patients With Severe Upper Limb Paresis: A Pilot, Single-Blind, Randomized Crossover Study

Non-invasive drawable electrode for neuromuscular electrical stimulation and biological signal sensing

Are we ready? Issues in transferring BCI technology from experts to users

Brain-Machine Interfaces: Progress in Large Clinical Validation

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation

EEG Microstates for BCI Therapist Feedback: Preliminary Results on a Stroke Patient

Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients

Neuroprosthetic System Restoring Upper Limb Function Through Coordinated Electrical Stimulation

Transferring BCI skills to successful application controls

BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims