Abteilung
Neuromorphe Informationsverarbeitung
Toggle navigation
Startseite
Forschung
Maschinelles Lernen
Neuroprothetik und neuroinspirierte Signalverarbeitung
Mainframes und Enterprise Computing
Eingebettete Systeme
Publikationen
Abteilung
Übersicht
Prof. Dr. Martin Bogdan
Sekretariat
Jun.-Prof. Dr. Thomas Schmid
Dr. Sophie Adama
Dr. Jörn Hoffmann
Ferney Beltran Velandia
Max Braungardt
Marc Franke
Clemens Fritzsch
Dominik Krenzer
Mahsa Raeiati Banadkooki
Martin Walther
Lehre
Wintersemester 2023/24
Sommersemester 2023
Wintersemester 2022/23
Sommersemester 2022
Frühere Semester
Vorlagen
Abschlussarbeiten
Impressum
Assessing consciousness in patients with disorders of consciousness using soft-clustering
Application of Soft-Clustering to Assess Consciousness in a CLIS Patient
Yes/No Classification of EEG data from CLIS patients
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal
Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach
Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components
Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning
Consciousness Detection in Complete Locked-in State Patients using Electroencephalogram Coherency and Artificial Neural Networks
Stroke Rehabilitation and Parkinson’s Disease Tremor Reduction Using BCIs Combined With FES
Coupling Brain-Computer Interface and Electrical Stimulation for stroke rehabilitation and tremor reduction in Parkinson’s disease
Nächste Seite »