Classification of Electroencephalography for Pain and Pharmaco-EEG Studies Classification of Electroencephalography for Pain and Pharmaco-EEG Studies

No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without prior written permission from the Publisher. Support vector machine classification of multi-channel EEG traces: A new tool to analyze the brain response to morphine treatment. Classification of single-sweep evoked brain potentials for pharmaco-EEG by multivariate matching pursuit and support vector machine. Biomarkers for visceral hypersensitivity identified by classification of electroencephalographic frequency alterations. The analgesic effect of pregabalin in chronic pain patients is reflected by changes in pharmaco-EEG spectral indices. investigations conducted at Aalborg Hospital, and includes patients and healthy volunteers. During my Ph.D. I had the privilege to have three excellent supervisors to whom I owe my most sincere gratitude. who created a working environment enabling advanced experimental studies and constantly pointed the work into a clinical relevant direction. My second supervisor, Professor, Ph.D. Dario Farina, who inspired me with comments and suggestions on the development of signal processing methods and support whenever frustrations grew high. During my employment at the Department of Radiology I was also greatly inspired by my third supervisor, MD, Ph.D. Jens Brøndum Frøkjaer with whom I conducted a diabetes study in Denmark and Norway. During my Ph.D. I was also greatly inspired by my colleagues and the always ongoing interdisciplinary discussions in the office. My colleagues taught me the challenge of explaining advanced signal processing in a simple manner, and demonstrated a lot of patience when they were teaching pain physiology and pharmacology to me. For practical assistance in the laboratories and recruitment of subjects for the experiments, I would also like to thank the excellent research nurses Birgit Koch-Henriksen and Isabelle M. Larsen. I also have a special thank to all the patients and volunteers who participated in the studies. Without their contribution, the research projects would not have been possible. Last but not least I would like to thank my family for the never failing support and constant interest in my research. I also owe my really good friends a special thank, they taught me the value of true friendship and support whenever it was needed.