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Found 4 papers, 1 papers with code
A Survey of Few-Shot Learning for Biomedical Time Series
Advancements in wearable sensor technologies and the digitization of medical records have contributed to the unprecedented ubiquity of biomedical time series data.
MorpheusNet: Resource efficient sleep stage classifier for embedded on-line systems
This is a limiting factor when it comes to leveraging sleep stages for therapeutic purposes.
Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy -- a case study in epilepsy
This work explores the potential utility of neural network classifiers for real-time classification of field-potential based biomarkers in next-generation responsive neuromodulation systems.
Embedding digital chronotherapy into medical devices -- A canine validation for controlling status epilepticus through multi-scale rhythmic brain stimulation
Such is the case of circadian and infradian seizure patterns observed in epilepsy.
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