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Original title:
Permutationsentropie und Symbolische Transfer Entropie als EEG-Parameter zur Differenzierung von Disorders of Consciousness unter auditorischer Stimulation
Translated title:
Permutation Entropy and Symbolic Transfer Entropy as EEG-measures to differentiate Disorders of Consciousness under auditory stimulation
Author:
Thul, Alexander Benedikt
Year:
2017
Document type:
Dissertation
Faculty/School:
Fakultät für Medizin
Advisor:
Ilg, Rüdiger (Priv.-Doz. Dr.)
Referee:
Ilg, Rüdiger (Priv.-Doz. Dr.); Ploner, Markus (Prof. Dr.); Hemmer, Bernhard (Prof. Dr.)
Language:
de
Subject group:
MED Medizin
Keywords:
EEG, Disorders of Consciousness, Minimally Conscious State, Unresponsive Wakefulness Syndrome, Vegetative State, Eigennamen-Paradigma, nichtlineare Analyse, Permutationsentropie, Symbolische Transfer Entropie
Translated keywords:
EEG, Disorders of Consciousness, Minimally Conscious State, Unresponsive Wakefulness Syndrome, Vegetative State, own-name paradigm, non-linear analysis, Permutation Entropy, Symbolic Transfer Entropy
TUM classification:
MED 600d
Abstract:
Zur Differenzierung von Zuständen reduzierten Bewusstseins (Disorders of Consciousness (DOC)) unter auditorischer Stimulation wurden zwei nicht-lineare EEG-Parameter (Permutationsentropie (PeEn) und Symbolische Transfer Entropie (STEn)) auf das EEG von 15 Patienten mit entweder Minimally Conscious State (MCS) oder Unresponsive Wakefulness Syndrome (UWS) / Vegetative State (VS) angewendet und mit einem Kollektiv gesunder Probanden verglichen.
Translated abstract:
To differentiate Disorders of Consciousness (DOC) under auditory stimulation two non-linear measures of EEG-analysis (Permutation Entropy (PeEn) and Symbolic Transfer Entropy (STEn) were applied to the EEG of 15 patients with either Minimally Conscious State (MCS) or Unresponsive Wakefulness Syndrome (UWS) / Vegetative State (VS). The findings were compared to a group of healthy volunteers.
WWW:
https://mediatum.ub.tum.de/?id=1275422
Date of submission:
03.08.2016
Oral examination:
16.11.2017
File size:
7527282 bytes
Pages:
117
Urn (citeable URL):
https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20171116-1275422-1-9
Last change:
03.01.2018
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