On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
Sign Up to like & getrecommendations! Published in 2020 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2020.101852
Abstract: The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of neurological disorders. This work proposes a pairwise distance learning approach for schizophrenia classification… read more here.
Keywords: classification; brain signal; distance learning; pairwise distance ... See more keywords
S3-1. Therapeutic intervention for neurological patients with neurofeedback technique
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.02.034
Abstract: Accumulating evidence revealed that the functional reorganization plays an important role in functional recovery after brain damage in patients with neurological diseases. Recently, “neuromodulation techniques” which enhance functional reorganization of the damaged brain have drawn… read more here.
Keywords: intervention; brain signal; intervention neurological; therapeutic intervention ... See more keywords
Higher performers upregulate brain signal variability in response to more feature-rich visual input
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116836
Abstract: The extent to which brain responses differ across varying cognitive demands is referred to as "neural differentiation," and greater neural differentiation has been associated with better cognitive performance in older adults. An emerging approach has… read more here.
Keywords: brain signal; input; variability; feature rich ... See more keywords
Exploring DNS, HTTP, and ICMP Response Time Computations on Brain Signal/Image Databases using a Packet Sniffer Tool
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2870557
Abstract: Neurological signal processing is of significance not only the physiologist doing research and the clinician investigating patients but also to the biomedical engineer who is needed to collect, process, and interpret the physiological signals by… read more here.
Keywords: brain signal; signal image; time; packet sniffer ... See more keywords
Designed Filter with CCII+ and Analysis of EEG for Epilepsy and Alzheimer
Sign Up to like & getrecommendations! Published in 2017 at "Acta Physica Polonica A"
DOI: 10.12693/aphyspola.131.423
Abstract: Biomedical signals are usually low amplitude and high bandwidth signals. EEG signals are very low amplitude (generally less than 300 μV) and very high bandwidth (range from 0.5 to 100 Hz), too. EEG was used… read more here.
Keywords: epilepsy; brain signal; alzheimer; normal brain ... See more keywords
Spatial variability of low frequency brain signal differentiates brain states
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0242330
Abstract: Temporal variability of the neural signal has been demonstrated to be closely related to healthy brain function. Meanwhile, the evolving brain functions are supported by dynamic relationships among brain regions. We hypothesized that the spatial… read more here.
Keywords: task; brain signal; spatial variability; variability ... See more keywords
Textural feature based intelligent approach for neurological abnormality detection from brain signal data
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0277555
Abstract: The diagnosis of neurological diseases is one of the biggest challenges in modern medicine, which is a major issue at the moment. Electroencephalography (EEG) recordings is usually used to identify various neurological diseases. EEG produces… read more here.
Keywords: signal data; time; brain signal; textural feature ... See more keywords
Tele Alert System for Epileptic Seizure on a Study of EEG Signal Classification by GBE-NLSVM Through ICA Preprocessed and AR Extracted Signal in a BCI System
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Testing and Evaluation"
DOI: 10.1520/jte20160271
Abstract: Brain computer interface is an action of translating the brain signal into a command for activating artificial object such as limb. BCI is the collaboration of biomedical, electrical, computer, and mechanical engineering. An action potential… read more here.
Keywords: epileptic seizure; brain; brain signal; system ... See more keywords
Multimodal Brain Signal Complexity Predicts Human Intelligence
Sign Up to like & getrecommendations! Published in 2022 at "eNeuro"
DOI: 10.1523/eneuro.0345-22.2022
Abstract: Abstract Spontaneous brain activity builds the foundation for human cognitive processing during external demands. Neuroimaging studies based on functional magnetic resonance imaging (fMRI) identified specific characteristics of spontaneous (intrinsic) brain dynamics to be associated with… read more here.
Keywords: brain signal; intelligence; brain; intrinsic brain ... See more keywords
Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2017.00704
Abstract: In order to reduce the noise of brain signals, neuroeconomic experiments typically aggregate data from hundreds of trials collected from a few individuals. This contrasts with the principle of simple and controlled designs in experimental… read more here.
Keywords: brain signal; neuroeconomics; reducing brain; noise ... See more keywords