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Found 4 papers, 3 papers with code
AU-NN: ANFIS Unit Neural Network
Two use cases of this network are shown to test the capability of the network.
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8, 380 clinically validated samples with laboratory molecular-test (2, 339 Covid-19 positives and 6, 041 Covid-19 negatives).
Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals
An asynchronous Brain--Computer Interface (BCI) based on imagined speech is a tool that allows to control an external device or to emit a message at the moment the user desires to by decoding EEG signals of imagined speech.
An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals
In order to build a fully asynchronous Brain Computer Interface based on imagined words in electroencephalogram signals as source, we need to solve the problem of detecting the onset of the imagined words.
