A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface [PDF]
Engineering and Technology Journal, 2021 A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves
Samaa Abdulwahab +2 more
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Rehabilitation of hand in subacute tetraplegic patients based on brain computer interface and functional electrical stimulation: a randomised pilot study [PDF]
, 2016 Objective. To compare neurological and functional outcomes between two groups of hospitalised patients with subacute tetraplegia. Approach. Seven patients received 20 sessions of brain computer interface (BCI) controlled functional electrical ...
Fraser, Matthew +3 more
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Experimental Investigation of Displacer Seal Geometry Effects in Stirling Cycle Machines
Energies, 2019 This contribution deals with an experimental investigation of the optimization potential of Stirling engines and similar regenerative machines by an enhanced design of the cylinder liner and the seal.
Jan Sauer, Hans-Detlev Kühl
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Novel dry electrode EEG headbands for home use: Comparing performance and comfort
Current Directions in Biomedical Engineering, 2020 Monitoring brain activity at home using electroencephalography (EEG) is an increasing trend for both medical and non-medical applications. Gel-based electrodes are not suitable due to the gel application requiring extensive preparation and cleaning ...
Haueisen Jens +4 more
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Discriminative methods for classification of asynchronous imaginary motor tasks from EEG data [PDF]
, 2012 In this work, two methods based on statistical models that take into account the temporal changes in the electroencephalographic (EEG) signal are proposed for asynchronous brain-computer interfaces (BCI) based on imaginary motor tasks. Unlike the current
Cetin, Mujdat +2 more
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On the stimulus duty cycle in steady state visual evoked potential [PDF]
, 2014 Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly
Palaniappan, Ramaswamy, Wilson, John J.
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IEEE AccessThis paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI).
Mavin Heim +7 more
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Frontiers in Human Neuroscience, 2022 Brain-computer interface (BCI) can provide people with motor disabilities with an alternative channel to access assistive technology (AT) software for communication and environmental interaction.
Angela Riccio +9 more
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Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller [PDF]
, 2014 Objective. Most BCIs have to undergo a calibration session in which data is recorded to train decoders with machine learning. Only recently zero-training methods have become a subject of study.
Kindermans, Pieter-Jan +3 more
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Full-Field Imaging for Evaluating Mode-II Fracture Toughness in CFRP Laminates
ProceedingsTo replicate delaminations at the coupon and substructural scales, simulated defects are often introduced into test specimens; therefore, understanding their behaviour within the laminate is essential.
Riccardo Cappello +4 more
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