Universität Leipzig
Fakultät für Mathematik und Informatik
Abteilung Neuromorphe Informationsverarbeitung
Augustusplatz 10, Raum P 533
04109 Leipzig

Postanschrift: Postfach 10 09 20, 04009 Leipzig

Telefon: +49 (341) 97-32267
Telefax: +49 (341) 97-32252

E-Mail: adama@informatik.uni-leipzig.de

Sprechstunde: nach Vereinbarung

Publikationen

  • Oliver Kirsten, Martin Bogdan, Sophie Adama
    Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient | LINK

    7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 2023.

  • Sophie Adama, Martin Bogdan
    Assessing consciousness in patients with disorders of consciousness using soft-clustering | LINK

    Brain Informatics, 2023, 10, 16.

  • Sophie Adama, Martin Bogdan
    Sleep analysis in a CLIS patient using soft-clustering: a case study | LINK

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2023.

  • Sophie Adama, Martin Bogdan
    Application of Soft-Clustering to Assess Consciousness in a CLIS Patient | LINK

    Brain Sci. 2023, 13, 65.

  • V. S. Adama, S.-J. Wu, N. Nicolaou, M. Bogdan
    Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning | LINK

    Simulation Notes Europe SNE 32(1), 2022, 37-45

  • Sophie Adama, Martin Bogdan
    Yes/No Classification of EEG data from CLIS patients | LINK

    43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.

  • Sophie Adama, Ujwal Chaudhary, Niels Birbaumer, Martin Bogdan
    Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal | LINK

    Proceedings of the 2020 IEEE International Conference on Bioinformatics and Biomedicine, pp. 958-962, 2020.

  • V. S. Adama, M. Bogdan
    Consciousness Detection in Complete Locked-in State Patients using Electroencephalogram Coherency and Artificial Neural Networks | LINK

    Sensor Networks and Signal Processing. Smart Innovation, Systems and Technologies, vol 176, p. 397-409, 2020. Springer Nature.

  • V. Sophie Adama, Benjamin Schindler, Thomas Schmid
    Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components | LINK

    Proceedings of the XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. IFMBE Proceedings Vol. 76. Springer, S. 1890-1893, 2019

  • V. S. Adama, A. Blankenburg, C. Ernst, R. Kummer, S. Murugaboopathy, M. Bogdan
    Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach

    10th EUROSIM Congress, Logroño, Spain, 2019

  • V. S. Adama, M. Bogdan
    Stroke Rehabilitation and Parkinson’s Disease Tremor Reduction Using BCIs Combined With FES | LINK

    International Journal of Privacy and Health Information Management 6(1), 2018

  • V. S. Adama, J. Hoffman, M. Bogdan
    Coupling Brain-Computer Interface and Electrical Stimulation for stroke rehabilitation and tremor reduction in Parkinson’s disease | LINK

    The 13rd International Multidisciplinary Modelling and Simulation Multiconference (I3M), 2016