Brain
Dataset I: This is the original EEG data of twelve healthy subjects for driver fatigue detection. Due to personal privacy, the digital number represents different participants. The .cnt files were created by a 40-channel Neuroscan amplifier, including the EEG data in two states in the process of driving.
Dataset II: This project adopted an event-related lane-departure paradigm in a virtual-reality (VR) dynamic driving simulator to quantitatively measure brain EEG dynamics along with the fluctuation of task performance throughout the experiment.
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Features extracted from EEG when subjects imagined the musical pitch from C4 to B4. The feature extraction method is introduced in "Decoding Imagined Musical Pitch from Human Scalp Electroencephalograms".
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252 Views
We have utilized Ultrasound (US) B-mode imaging to record single agents and collective swarms of microrobots in controlled experimental conditions.
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340 Views
This dataset consists of electroencephalography (EEG) data from 10 healthy participants aged between 24 and 38 years with a mean age of 30 years (standard deviation 5 years). Five participants are male, and all the participants are right-handed.
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620 Views
This is just a preliminary collation of the relevant TCGA datasets collated and used in our methodology. We will continue to upload the full dataset later for your reference and use. We hope to make a small contribution to the study of automatic 3D MRI classification of gliomas and the problem of domain adaptation on medical images.
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227 Views
Synaptic vesicle glycoprotein 2A (SV2A) is the most widely distributed transmembrane glycoprotein present on secretory vesicles in the pre-synaptic terminal of neurons throughout the central nervous system (Bajjalieh et al., 1994). SV2A can be used as a marker to visualize pre-synaptic density distribution in vivo using positron emission tomography (PET) imaging thanks to the SV2A radioligands available, including [11C]UCB-J (Nabulsi et al., 2016). Given the brain-wide distribution of SV2A, regional analysis of SV2A PET data may be limiting the amount of information that can be obtained.
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61 Views
This is a code to correlate and process a dataset of epilepsy EEG signals。
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249 Views
Data and Reuslts from this work:
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88 Views
The use of modern Mobile Brain-Body imaging techniques, combined with hyperscanning (simultaneous and synchronous recording of brain activity of multiple participants) has allowed researchers to explore a broad range of different types of social interactions from the neuroengineering perspective. In specific, this approach allows to study such type of interactions under an ecologically valid approach.
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322 Views
It mainly includes the original BONN epilepsy EEG data set, as well as the EEG signals after the revised tunable Q-factor wavelet transform decomposition and reconstruction of the data set.
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717 Views