F08. Automatic spike detection in intracerebral depth electrode recordings
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2018.04.171
Abstract: Introduction Intracranial recordings, like intracerebral depth electrode recordings are considered to be the best choice for preoperative invasive evaluation when standard electro-clinical examinations are not conclusive. These recordings reflect a vast amount of interictal epileptic… read more here.
Keywords: detection; spike detection; electrode recordings; depth electrode ... See more keywords
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-93088-w
Abstract: Developing high-density electrodes for recording large ensembles of neurons provides a unique opportunity for understanding the mechanism of the neuronal circuits. Nevertheless, the change of brain tissue around chronically implanted neural electrodes usually causes spike… read more here.
Keywords: spike sorting; spike detection; automatic spike; mixture skew ... See more keywords
Epileptic Spike Detection Using Neural Networks With Linear-Phase Convolutions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3102247
Abstract: To cope with the lack of highly skilled professionals, machine learning with proper signal processing is key for establishing automated diagnostic-aid technologies with which to conduct epileptic electroencephalogram (EEG) testing. In particular, frequency filtering with… read more here.
Keywords: spike detection; neural networks; epileptic spike; linear phase ... See more keywords
Dynamic Pricing and Prices Spike Detection for Industrial Park With Coupled Electricity and Thermal Demand
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3139825
Abstract: This paper presents a dynamic pricing mechanism in the industrial park with demand response programs. A Lagrangian relaxation based dynamic pricing model for electricity and thermal coupled industrial park is formulated, taking into account energy… read more here.
Keywords: industrial park; prices spike; spike detection; pricing ... See more keywords
Calibration-Free and Hardware-Efficient Neural Spike Detection for Brain Machine Interfaces.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on biomedical circuits and systems"
DOI: 10.1109/tbcas.2023.3278531
Abstract: Recent translational efforts in brain-machine interfaces (BMI) are demonstrating the potential to help people with neurological disorders. The current trend in BMI technology is to increase the number of recording channels to the thousands, resulting… read more here.
Keywords: hardware; power; machine interfaces; brain machine ... See more keywords
BECT Spike Detection Algorithm Based on Optimal Template Matching and Morphological Feature Selection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3151486
Abstract: Over 15% of children with epilepsy belong to benign childhood epilepsy with centro-temporal spikes (BECT), facing with educational difficulties. The accurate recognition of spikes in electroencephalogram (EEG) signals collected from BECT patients can help the… read more here.
Keywords: detection algorithm; template matching; spike detection; morphological feature ... See more keywords
BECT Spike Detection Based on Novel Multichannel Data Weighted Fusion Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3192827
Abstract: Benign epilepsy with spinous waves in the central temporal region (BECT) is the most common epilepsy syndromes in children. Spike discharges in the Rolandic area are important biomarkers for diagnosis evaluation. Conventional single-channel electroencephalogram (EEG)… read more here.
Keywords: data weighted; algorithm; detection; spike detection ... See more keywords