Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …

Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for
people suffering from neurological disabilities. This recording technique combines adequate …

Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

<? Pub Dtl=""?> To increase the ability of brain–machine interfaces (BMIs) to control
advanced prostheses such as the modular prosthetic limb (MPL), we are develo** a novel …

Decoding motor commands from noninvasively measured neural signals has become
important in brain-computer interface (BCI) research. Applications of BCI include …

Objective. The article aims at addressing 2 challenges to step motor brain-computer
interface (BCI) out of laboratories: asynchronous control of complex bimanual effectors with …

Objective. Electrocorticography (ECoG) signals have emerged as a potential control signal
for brain–computer interface (BCI) applications due to balancing signal quality and implant …

Noninvasive brain-computer-interfaces (BCI) coupled with prosthetic devices were recently
introduced in the rehabilitation of chronic stroke and other disorders of the motor system …

Objective. Electrocorticography (ECoG), used as a neural recording modality for brain-
machine interfaces (BMIs), potentially allows for field potentials to be recorded from the …

In this chapter, we give an overview of the Graz-BCI research, from the classic motor
imagery detection to complex movement intentions decoding. We start by describing the …