Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings.
Francesco Carlo MorabitoMaurizio CampoloCosimo IeracitanoJavad Mohammad EbadiLilla BonannoAlessia BramantiSimona De SalvoNadia MammonePlacido BramantiPublished in: RTSI (2016)
Keyphrases
- single trial
- healthy subjects
- spatial filters
- brain computer interface
- event related potentials
- deep learning
- active learning
- eeg data
- hand movements
- event related
- mental models
- deep belief networks
- early diagnosis
- extracted features
- unsupervised feature learning
- eeg signals
- multiple sclerosis
- caudate nucleus
- diffusion tensor imaging
- signal processing
- clinical studies
- motor imagery
- cardiovascular disease
- brain regions
- information processing
- clinically relevant
- epileptic seizures
- patient groups
- clinical data
- amyotrophic lateral sclerosis