Methods and Techniques for Neuroengineering | Department of Computer, Control and Management Engineering

Methods and Techniques for Neuroengineering

Boosting the traditional physiotherapist approach for stroke spasticity using a sensorized ankle foot orthosis: a pilot study
Proof-of-Principle of a Brain-Computer Interface approach to support post-stroke arm rehabilitation in hospitalized patients: design, acceptability and usability
GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI
Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task
Self-calibration algorithm in an asynchronous P300-based brain-computer interface
Brain-computer interfaces for assessment and communication in disorders of consciousness
The Promotoer: a successful story of translational research in BCI for motor rehabilitation
Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond
Neurophysiological constraints of control parameters for a brain computer interface system to support post-stroke motor rehabilitation
Assistive device with conventional, alternative, and brain-computer interface inputs to enhance interaction with the environment for people with amyotrophic lateral sclerosis: a feasibility and usability study

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