Gert Pfurtscheller

Bio: Gert Pfurtscheller is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Brain–computer interface & Electroencephalography. The author has an hindex of 117, co-authored 507 publications receiving 62873 citations. Previous affiliations of Gert Pfurtscheller include University of Graz.

Multivariables Langzeit-Monitoring von zerebralen und kardiovaskulären Größen mit Hilfe eines Personal-Computers - Multivariable Longterm-Monitoring of Cerebral and Cardiovascular Parameters with the Aid of a Personal Computer

Abstract: Schlüsselwörter: Hirnfunktionsüberwachung, EEG-Leistungsspektren, evozierte Potentiale, Schlafmonitoring, Coma-Monitoring Die gleichzeitige und kontinuierliche Erfassung und Verarbeitung von EEG, evozierten Potentialen, verschiedenen kardiovaskulären und respiratorischen Signalen wurde mittels eines Per. sonal-Computers gesteuerten Meßsystems realisiert. Dieses System findet derzeit bei der Überwachung von kritisch kranken Patienten und bei Schlafuntersuchungen an Säuglingen seine Anwendung.

Non-stationary brain source separation for multi-class motor imagery

Abstract: This article describes a method to recover taskrelated brain sources in the context of multi-class BrainComputer Interfaces (BCIs) based on non-invasive electroencephalography (EEG). We extend the method Joint Approximate Diagonalization (JAD) for spatial filtering using a maximum likelihood framework. This generic formulation (1) bridges the gap between the Common Spatial Patterns (CSP) and Blind Source Separation (BSS) of non-stationary sources, and (2) leads to a neurophysiologically adapted version of JAD, accounting for the successive activations/deactivations of brain sources during motor imagery trials. Using dataset 2a of BCI Competition IV (2008) in which nine subjects were involved in a four-class two-session motorimagery (MI) based BCI experiment, a quantitative evaluation of our extension is provided by comparing its performance against JAD and CSP in the case of cross-validation as well as session-to-session transfer. Whereas JAD, as already proposed in other works, does not prove to be significantly better than classical one-versus-rest CSP, our extension is shown to perform significantly better than CSP for cross-validated and session-tosession performance. The extension of JAD introduced in this paper yields among the best session-to-session transfer results presented so far for this particular dataset, thus it appears of great interest for real-life BCIs.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or