1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
QSMP: finding representative time series subsequences through Quick Shift+Matrix Profile
Carlos H. Mendoza-Cardenas, Rogers F. Silva, Austin J. Brockmeier
Finding representative waveforms in long time series has scientific and practical value in many domains, as it enables summarization and visualization of large time series datasets…
Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling
Austin Meek, Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
EEG recordings contain rich information about neural activity but are subject to artifacts, noise, and superficial differences due to sensors, amplifiers, and filtering. Independen…
Shift-invariant waveform learning on epileptic ECoG
Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizure detection algorithms must discriminate abnormal neuronal activity associated with a seizure from normal neural activity in a variety of conditions. Our approach is to seek…
Searching for waveforms on spatially-filtered epileptic ECoG
Carlos H. Mendoza-Cardenas, Austin J. Brockmeier
Seizures are one of the defining symptoms in patients with epilepsy, and due to their unannounced occurrence, they can pose a severe risk for the individual that suffers it. New re…