Feature of the Day

(20190308) IBM TUSZ Pre-Processed Data (v1.0.0): This is our first release of IBMPPD which preprocesses the TUH Seizure Detection Corpus using two methods, both of which use an FFT sliding window approach (STFT) in the beginning.

(20181217) Meysam Golmohammadi attended the ICMLA and presented his paper on Deep Architectures for Spatio-Temporal Modeling.

(20181206) NEDC TUH EEG Artifact Corpus (v1.0.0): This corpus was developed to aid in EEG event classification such as seizure detection.

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NEDC

    The Neural Engineering
    Data Consortium

The Neural Engineering Data Consortium generates and curates big data resources to support application of state of the art machine learning algorithms to bioengineering problems. We distribute a variety of resources including signal and image data, software to facilitate common evaluations and visualization tools. To learn more, contact us or visit our site.

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