Review of the BCI competition IV

M Tangermann, KR Müller, A Aertsen… - Frontiers in …, 2012 - frontiersin.org
The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders

AN Belkacem, N Jamil, S Khalid… - Frontiers in human …, 2023 - frontiersin.org
Emerging brain technologies have significantly transformed human life in recent decades.
For instance, the closed-loop brain-computer interface (BCI) is an advanced software …

A spinal cord neuroprosthesis for locomotor deficits due to Parkinson's disease

T Milekovic, EM Moraud, N Macellari, C Moerman… - Nature Medicine, 2023 - nature.com
People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor
deficits that are resistant to currently available therapies. To alleviate these deficits, we …

A survey of sensor fusion methods in wearable robotics

D Novak, R Riener - Robotics and Autonomous Systems, 2015 - Elsevier
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 …

Simultaneous statistical inference

T Dickhaus - With applications in the life sciences. Springer, 2014 - Springer
The more questions you ask, the more wrong answers you are expected to receive—even if
every single source of your information is quite trustworthy. In this work, the sources of …

Brain-computer interfaces for children with complex communication needs and limited mobility: a systematic review

S Orlandi, SC House, P Karlsson, R Saab… - Frontiers in Human …, 2021 - frontiersin.org
Brain-computer interfaces (BCIs) represent a new frontier in the effort to maximize the ability
of individuals with profound motor impairments to interact and communicate. While much …

Decoding ECoG signal into 3D hand translation using deep learning

M Śliwowski, M Martin, A Souloumiac… - Journal of neural …, 2022 - iopscience.iop.org
Objective. Motor brain-computer interfaces (BCIs) are a promising technology that may
enable motor-impaired people to interact with their environment. BCIs would potentially …

Long-term recording reliability of liquid crystal polymer µECoG arrays

V Woods, M Trumpis, B Bent… - Journal of neural …, 2018 - iopscience.iop.org
Objective. The clinical use of microsignals recorded over broad cortical regions is largely
limited by the chronic reliability of the implanted interfaces. Approach. We evaluated the …

From classic motor imagery to complex movement intention decoding: the noninvasive Graz-BCI approach

GR Müller-Putz, A Schwarz, J Pereira, P Ofner - Progress in brain research, 2016 - Elsevier
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 …

Challenges of neural interfaces for stroke motor rehabilitation

C Vidaurre, N Irastorza-Landa… - Frontiers in Human …, 2023 - frontiersin.org
More than 85% of stroke survivors suffer from different degrees of disability for the rest of
their lives. They will require support that can vary from occasional to full time assistance …