Predicting Recovery from Coma After Cardiac Arrest Using Low-level Features from EEG Recordings and a Small-sized LSTM Network - OFFIS

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Predicting Recovery from Coma After Cardiac Arrest Using Low-level Features from EEG Recordings and a Small-sized LSTM Network

Predicting Recovery from Coma After Cardiac Arrest Using Low-level Features from EEG Recordings and a Small-sized LSTM Network

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All authors

B. Cauchi, M. Eichelberg and A. Hein

Booktitle

Computing in Cardiology

Publishing date

October / 2023

Type of Publication

inproceedings

Projects

A2I
Augmented Auditive Intelligence

OFFIS Autoren

Dr.-Ing. Benjamin Cauchi

Dr.-Ing.
Benjamin Cauchi

Dr. rer. nat. Marco Eichelberg

Dr. rer. nat.
Marco Eichelberg

Prof. Dr.-Ing. Andreas Hein

Prof. Dr.-Ing.
Andreas Hein

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