Research Topics
| G PfurtschellerSummaryAffiliation: Graz University of Technology Country: Austria Publications
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Detail Information
Publications
Beta rebound after different types of motor imagery in manG Pfurtscheller
Institute for Human Computer Interfaces, Graz University of Technology, Inffeldgasse 16a, 8010 Graz, Austria
Neurosci Lett 378:156-9. 2005..The midcentrally located beta rebound is interpreted as an electrophysiological correlate of a simultaneous "resetting" of overlapping neural networks in the foot representation areas and the SMA...- Event-related beta synchronization after wrist, finger and thumb movementG Pfurtscheller
Department of Medical Informatics, Institute for Biomedical Engineering, University of Technology, Graz, Austria
Electroencephalogr Clin Neurophysiol 109:154-60. 1998..Summarizing, pre-movement desynchronization seems relatively independent of the forthcoming type of movement, whereas the post-movement beta synchronization might depend on the activated muscle mass... - [Mental activity hand orthosis control using the EEG: a case study]G Pfurtscheller
Abteilung für Medizinische Informatik, Institut für Elektro und biomedizinische Technik, Technische Universitat Graz, Osterreich
Rehabilitation (Stuttg) 41:48-52. 2002..The restored grasp function was verified by a grasp function test. Results are compared to those obtained using a conventional EMG-controlled orthosis... - Functional dissociation of lower and upper frequency mu rhythms in relation to voluntary limb movementG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, Inffeldgasse 16a II, A 8010, Graz, Austria
Clin Neurophysiol 111:1873-9. 2000..The goal of this study is to investigate the reactivity of central rhythms in the alpha band during self-paced voluntary finger and foot movement and to give an answer to the question, whether different types of mu rhythms exist... - Brain oscillations control hand orthosis in a tetraplegicG Pfurtscheller
Department of Medical Informatics Institute of Biomedical Engineering, University of Technology, Graz, Austria
Neurosci Lett 292:211-4. 2000..The operation of this device is directly based on the bioelectrical signals of the brain. After some months of training, T. S. has learned to operate the hand orthosis by mental imagination of specific motor commands... - Current trends in Graz Brain-Computer Interface (BCI) researchG Pfurtscheller
Department of Medical Informatics, Institute for Biomedical Engineering, University of Technology Graz, Austria
IEEE Trans Rehabil Eng 8:216-9. 2000..g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated... - Do brain oscillations of different frequencies indicate interaction between cortical areas in humans?G Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, Technical University Graz, Inffeldgasse 16a II, A 8010, Graz, Austria
Neurosci Lett 286:66-8. 2000..The results indicate that, related to the same event, distinct cortical areas can display increased synchronized activity at different frequencies, providing evidence for interaction between the corresponding neuronal networks... - Visually guided motor imagery activates sensorimotor areas in humansG Pfurtscheller
Department of Medical Informatics, and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Technical University Graz, Austria
Neurosci Lett 269:153-6. 1999..The results suggest that perception of the visual cue stimulus modifies oscillations in sensorimotor areas specific to the indicated hand starting as soon as 250-500 ms after stimulus onset... - Induced oscillations in the alpha band: functional meaningG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Technical University Graz, Inffeldgasse 16a II, A 8010 Graz, Switzerland
Epilepsia 44:2-8. 2003..The induced oscillations (ERS) are dominant in the 10- to 13-Hz band and very likely mediated by thalamic gating... - Functional brain imaging based on ERD/ERSG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology Graz, Inffeldgasse 16a II, A 8010, Graz, Austria
Vision Res 41:1257-60. 2001..Spatial mapping of ERD/ERS can be used to study the dynamics of cortical activation patterns. Examples from a movement task are reported... - EEG-based discrimination between imagination of right and left hand movementG Pfurtscheller
Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Graz University of Technology, Austria
Electroencephalogr Clin Neurophysiol 103:642-51. 1997..The ERD/ERS patterns over all sessions displayed a relatively small intra-subject variability with slight differences between sessions with and without feedback... - Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a reviewG Pfurtscheller
Department of Medical Informatics, Graz University of Technology, Austria
Int J Psychophysiol 24:39-46. 1996..In both circumstances, the neurons in the hand area are not needed for visual processing or preparation for foot movement. As a result of this, an enhanced hand area mu rhythm can be observed... 
Short-lived brain state after cued motor imagery in naive subjectsG Pfurtscheller
Laboratory of Brain Computer Interfaces, Institute for Knowledge Discovery, Krenngasse 37, A 8010 Graz, Austria
Eur J Neurosci 28:1419-26. 2008....- Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasksG Pfurtscheller
Laboratory of Brain Computer Interfaces, Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16a, A 8010 Graz, Austria
Neuroimage 31:153-9. 2006..This implies that such EEG phenomena may be utilized in a multi-class brain-computer interface (BCI) operated simply by motor imagery... - Toward a hybrid brain-computer interface based on imagined movement and visual attentionB Z Allison
Institute for Knowledge Discovery, BCI Lab, Graz University of Technology, 8010 Graz, Austria
J Neural Eng 7:26007. 2010..Subjects proficient with both approaches might combine them to increase information throughput by improving accuracy, reducing selection time, and/or increasing the number of possible commands... - Graz-BCI: state of the art and clinical applicationsG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, 8010 Graz, Austria
IEEE Trans Neural Syst Rehabil Eng 11:177-80. 2003..Additionally, it is demonstrated how information transfer rates of 17 b/min can be acquired by real time classification of oscillatory activity... - Frequency component selection for an ECoG-based brain-computer interfaceR Scherer
Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Austria
Biomed Tech (Berl) 48:31-6. 2003..The results show that the ERD/ERS pattern found in ECoG generally matches the ERD/ERS pattern found in EEG recordings, but has an increased prevalence of frequency components in the beta range... - Mechanical stimulation of the fingertip can induce bursts of beta oscillations in sensorimotor areasG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, Technical University of Graz, Austria
J Clin Neurophysiol 18:559-64. 2001..These beta oscillations were found over both hemispheres with a clear dominance over the contralateral hand representation area... - Centrally controlled heart rate changes during mental practice in immersive virtual environment: a case study with a tetraplegicG Pfurtscheller
Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, A 8010 Graz, Austria
Int J Psychophysiol 68:1-5. 2008..This provides evidence that mental practice of motor performance is accompanied not only by activation of cortical structures but also by central commands into the cardiovascular system with its nuclei in the brain stem... - Distinction of different fingers by the frequency of stimulus induced beta oscillations in the human EEGG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology, Inffeldgasse 16a, A 8010 Graz, Austria
Neurosci Lett 307:49-52. 2001..In one subject the little finger showed a significant higher frequency as compared to the thumb. The difference in frequency was in the order of 1 Hz... - Seperability of four-class motor imagery data using independent components analysisM Naeem
Laboratory of Brain-Computer Interfaces (BCI-Lab, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria
J Neural Eng 3:208-16. 2006..For the cross-validated training data, CSP performed slightly better than Infomax, whereas for unseen test data, CSP yielded significantly better classification results than Infomax in one of the sessions... - Evidence for distinct beta resonance frequencies in human EEG related to specific sensorimotor cortical areasC Neuper
Department of Medical Informatics, Institute for Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Graz University of Technology, Inffelfgasse 16a II, A 8010, Graz, Austria
Clin Neurophysiol 112:2084-97. 2001..stimulation of upper and lower limbs. The aim of this study was to investigate whether the frequency of the beta response is related to specific regions within the sensorimotor strip... - "Resonance-like" frequencies of sensorimotor areas evoked by repetitive tactile stimulationG R Müller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, Austria
Biomed Tech (Berl) 46:186-90. 2001..For each subject the band with the largest band power increase was determined on electrodes overlying the contralateral hand area. The band power maxima and therewith the "resonance-like" frequencies were found around 27 Hz... - Rapid prototyping of an EEG-based brain-computer interface (BCI)C Guger
Institute for Biomedical Engineering, Department of Medical Informatics, University of Technology Graz, Austria
IEEE Trans Neural Syst Rehabil Eng 9:49-58. 2001..A classification accuracy between 70% and 95% could be achieved with two EEG channels after some sessions with feedback using an adaptive autoregressive (AAR) model and linear discriminant analysis (LDA)... - 15 years of BCI research at Graz University of Technology: current projectsG Pfurtscheller
Laboratory of Brain Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, 8010 Graz, Austria
IEEE Trans Neural Syst Rehabil Eng 14:205-10. 2006..Recent projects deal with the development of asynchronous BCIs, the presentation of feedback and applications for communication and control... - Exploring virtual environments with an EEG-based BCI through motor imageryR Leeb
Laboratory of Brain Computer Interfaces, Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16a, 8010 Graz, Austria
Biomed Tech (Berl) 50:86-91. 2005..All subjects were able to achieve a rotation in the VR to the left or right by approximately 45 degrees during one trial... - Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movementG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, Inffeldgasse 16a II, A 8010 Graz, Austria
Clin Neurophysiol 114:1226-36. 2003..To study the spatiotemporal pattern of event-related desynchronization (ERD) and event-related synchronization (ERS) in electrocorticographic (ECoG) data with closely spaced electrodes... - Estimating the mutual information of an EEG-based Brain-Computer InterfaceA Schlogl
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology, Graz
Biomed Tech (Berl) 47:3-8. 2002..The entropy difference was used as a measure of the separability of two classes of EEG patterns... - Brain-computer communication based on the dynamics of brain oscillationsG Pfurtscheller
Department of Medical Informatics, Institute for Biomedical Engineering, Technical University of Graz, and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Inffeldgasse 16a II, A 8010 Graz, Austria
Suppl Clin Neurophysiol 57:583-91. 2004..An EEG based brain switch that can control a FES-induced hand grasp of a tetraplegic and an approach towards an ECoG based brain switch are presented... - "Virtual keyboard" controlled by spontaneous EEG activityB Obermaier
Ludwig Boltzmann Institute of Medical Informatics and Neuroinformatics, University of Technology Graz, 8020 Graz, Austria
IEEE Trans Neural Syst Rehabil Eng 11:422-6. 2003..We report on three able-bodied subjects, operating the VK. The ability in the use of the VK varies between 0.85 and 0.5 letters/min in error-free writing... - Optimal spatial filtering of single trial EEG during imagined hand movementH Ramoser
Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Austria
IEEE Trans Rehabil Eng 8:441-6. 2000..The method performs a weighting of the electrodes according to their importance for the classification task. The high recognition rates and computational simplicity make it a promising method for an EEG-based brain-computer interface... - Event-related dynamics of cortical rhythms: frequency-specific features and functional correlatesC Neuper
Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology, Inffeldgasse 16a 11, 8010 Graz, Austria
Int J Psychophysiol 43:41-58. 2001..However, further research is needed to investigate the functional meaning of bursts of beta oscillations below 35 Hz... - Information transfer rate in a five-classes brain-computer interfaceB Obermaier
Ludwig Boltzmann Institute of Medical Informatics, Graz University of Technology, Austria
IEEE Trans Neural Syst Rehabil Eng 9:283-8. 2001..42 to 0.81 bits per trial and reveal that the upper limit of different mental tasks for a BCI system is three. In each subject, different combinations of three tasks resulted in the best performance... - Event-related desynchronisation of central beta-rhythms during brisk and slow self-paced finger movements of dominant and nondominant handA Stancak
Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology, Graz, Austria graz ac at
Brain Res Cogn Brain Res 4:171-83. 1996..The results suggest that the dynamics of premovement desynchronisation and postmovement synchronisation of central beta-rhythms is related to hand dominance... - Event-related beta EEG changes during wrist movements induced by functional electrical stimulation of forearm muscles in manG R Müller
Department of Medical Informatics, Institute of Electrical and Biomedical Engineering, University of Technology Graz, Inffeldgasse 16a, A 8010 Graz, Austria
Neurosci Lett 340:143-7. 2003..These findings suggest that the sensorimotor processing during FES involves some of the processes which are also involved in voluntary hand movements... - Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairmentC Neuper
Department of Medical Informatics, Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology Graz, Graz Austria
Clin Neurophysiol 114:399-409. 2003.... - The effects of external load on movement-related changes of the sensorimotor EEG rhythmsA Stancak
Department of Medical Informatics, University of Technology, Graz, Austria
Electroencephalogr Clin Neurophysiol 102:495-504. 1997.... - Post-movement beta oscillations studied with linear estimationM van Burik
Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology, Graz, Austria
Electroencephalogr Clin Neurophysiol 106:195-8. 1998..Both methods yield similar results and reveal a maximal event-related synchronisation over the left sensorimotor area approximately 500-750 ms after termination of movement... - A fully automated correction method of EOG artifacts in EEG recordingsA Schlogl
Institute of Human Computer Interfaces, Graz University of Technology, Krenngasse 37 IV, A 8010 Graz, Austria
Clin Neurophysiol 118:98-104. 2007..A fully automated method for reducing EOG artifacts is presented and validated... - Post-movement EEG synchronization studied with different high resolution methodsG Edlinger
Department of Medical Informatics, University of Technology, Graz, Austria
Brain Topogr 10:103-13. 1997..All methods, although having different theoretical basis, yield similar results and reveal a maximal event-related synchronization over the left sensorimotor area approximately 500-875 ms after termination of the movement... - Critical decision-speed and information transfer in the "Graz Brain-Computer Interface"G Krausz
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology, Inffeldgasse 16a/II, 8010 Graz, Austria
Appl Psychophysiol Biofeedback 28:233-40. 2003..Attainable ITRs were between 5 and 17 bit/min depending on the participant's performance and condition... - Graz brain-computer interface II: towards communication between humans and computers based on online classification of three different EEG patternsJ Kalcher
Department of Medical Informatics, Graz University of Technology, Austria
Med Biol Eng Comput 34:382-8. 1996..The online results show how selection of specific frequency bands influences the classification performance in single-trial data... - Could the beta rebound in the EEG be suitable to realize a "brain switch"?G Pfurtscheller
Laboratory of Brain Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, 8010 Graz, Styria, Austria
Clin Neurophysiol 120:24-9. 2009..Such a brain switch is a specifically designed brain-computer interface (BCI) with the aim to detect only one predefined brain state (e.g. EEG pattern) in ongoing brain activity... - Early onset of post-movement beta electroencephalogram synchronization in the supplementary motor area during self-paced finger movement in manG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, Inffeldgasse 16a, A 8010, Graz, Austria
Neurosci Lett 339:111-4. 2003..This assumed resetting or inhibitory process within the SMA precedes that of the networks within the primary motor hand area... - Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)C Guger
Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Austria
IEEE Trans Rehabil Eng 8:447-56. 2000.... - Cardiac responses induced during thought-based control of a virtual environmentG Pfurtscheller
Laboratory of Brain Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, A 8010 Graz, Austria
Int J Psychophysiol 62:134-40. 2006..The heart rate acceleration in the VE is interpreted as effect of an increased mental effort to walk as far as possible in VE... - Hidden Markov models used for the offline classification of EEG dataB Obermaier
Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology, Graz
Biomed Tech (Berl) 44:158-62. 1999..The effects of different types of HMMs on the recognition rate are discussed. Furthermore a comparison of the results achieved with the linear discriminant (LD) and the HMM, is presented... - Contrasting behavior of beta event-related synchronization and somatosensory evoked potential after median nerve stimulation during finger manipulation in manG Pfurtscheller
Department of Medical Informatics, Institute of Biomedical Engineering, University of Technology Graz, Inffeldgasse 16a, A 8010 Graz, Austria
Neurosci Lett 323:113-6. 2002..The results suggest that both phenomena can be interpreted as responses of different neuronal structures in sensorimotor areas... - EEG-based communication: presence of an error potentialG Schalk
Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Graz, Austria
Clin Neurophysiol 111:2138-44. 2000..While cursor movement is highly accurate in trained subjects, it is not perfect... - Using time-dependent neural networks for EEG classificationE Haselsteiner
Department of Medical Informatics, Graz Technical University, Austria
IEEE Trans Rehabil Eng 8:457-63. 2000..The results of a BCI experiment with three different subjects are given and discussed. These results demonstrate the higher performance of the FIR MLP compared with the standard MLP... - On the existence of different alpha band rhythms in the hand area of manC Andrew
Ludwig Boltzmann Institute of Medical Informatics and Neuroinformatics, Austria
Neurosci Lett 222:103-6. 1997..An explanation for the coexistence of these rhythms in terms of a global/local EEG model is provided... - Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG dataB Graimann
Department of Medical Informatics, Institute for Biomedical Engineering, Technical University Graz, Inffeldgasse 16a II, A 8010 Graz, Austria
Clin Neurophysiol 113:43-7. 2002..Such analysis can be difficult, especially when using multichannel data. Therefore, an effective method for the visualization of event-related changes in oscillatory brain activity is required... - Sleep classification in infants by decision tree-based neural networksI Koprinska
Ludwig Boltzmann Institute of Medical Informatics and Neuroinformatics, Graz, Austria
Artif Intell Med 8:387-401. 1996..The teaching input was provided by a medical expert in accordance with the rules of Guilleminault and Souquet. The performance of TBNN is compared with 5 other methods and the results are discussed... - Study of on-line adaptive discriminant analysis for EEG-based brain computer interfacesC Vidaurre
Department of Electrical and Electronic Engineering, Public University of Navarre, Campus Arrosadia s n, 31006 Pamplona, Spain
IEEE Trans Biomed Eng 54:550-6. 2007..Finally a static subject-specific baseline was also provided and used to compare performance measurements of both types of adaptation... - Self-initiation of EEG-based brain-computer communication using the heart rate responseR Scherer
J Neural Eng 4:L23-9. 2007..Threshold detection was used to measure a beat-to-beat heart rate increase. Despite this simple method, during a 30 min evaluation period on average only 2.9 non-intentional switches (heart rate changes) were detected... - A fully on-line adaptive BCIC Vidaurre
Department of Electrical Engineering and Electronics, State University of Navarra, Pamplona, Spain
IEEE Trans Biomed Eng 53:1214-9. 2006..The success of the feedback was studied analyzing the error rate and mutual information of each session and this analysis showed a clear improvement of the subject's control of the BCI from session to session... - A comparison approach toward finding the best feature and classifier in cue-based BCIR Boostani
Department of Computer Science and Engineering, School of Engineering, Shiraz University, Shiraz, Iran
Med Biol Eng Comput 45:403-12. 2007..Genetic feature combination results have been compared with the simple feature combination to show the performance of the Genetic algorithm... - Adaptive on-line classification for EEG-based brain computer interfaces with AAR parameters and band power estimatesC Vidaurre
Department of Electrical Engineering and Electronics, State University of Navarra, Spain
Biomed Tech (Berl) 50:350-4. 2005..Finally, it was shown that even subjects starting with a low performance were able to control the system in a few hours: and contrary to previous results no differences between AAR and BP estimates were found... - [Functional electrical stimulation instead of surgery? Improvement of grasping function with FES in a patient with C5 tetraplegia]J Pfurtscheller
Unfallchirurgische Abteilung, Landeskrankenhaus Villach, Osterreich
Unfallchirurg 108:587-90. 2005..Application of this stimulation system enabled the patient to drink for the first time after the accident from a glass without any additional help... - [EEG-based communication--a new concept for rehabilitative support in patients with severe motor impairment]C Neuper
,
Rehabilitation (Stuttg) 42:371-7. 2003..quot;Telemonitoring-assisted" training facilitates clinical application in a larger number of patients... - How many people are able to operate an EEG-based brain-computer interface (BCI)?C Guger
Guger Technologies OEG, A 8020 Graz, Austria
IEEE Trans Neural Syst Rehabil Eng 11:145-7. 2003..Roughly 93% of the subjects were able to achieve classification accuracy above 60% after two sessions of training... - Computational model of thalamo-cortical networks: dynamical control of alpha rhythms in relation to focal attentionP Suffczynski
Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, Warsaw, Poland
Int J Psychophysiol 43:25-40. 2001.... - Automatic differentiation of multichannel EEG signalsB O Peters
John von Neumann Institute for Computing, , , Germany
IEEE Trans Biomed Eng 48:111-6. 2001..Classification was optimal during the actual movement, but a first peak in the classification success rate was observed in all subjects already when they had been cued which movement later to perform... - Source localization of induced cortical oscillations during tactile finger stimulationG Schweitzer
, , TU Graz, Austria
Biomed Tech (Berl) 46:24-8. 2001..However, regarding the whole spatio-temporal pattern of the ERS for different fingers clear differences can be observed... - Propagation of EEG activity in the beta and gamma band during movement imagery in humansJ Ginter
Laboratory of Medical Physics, Warsaw University, Warsaw, Poland
Methods Inf Med 44:106-13. 2005..CONCLUSIONS: The hypothesis was put forward that these kinds of changes in flow of electrical brain activity are connected with the specific information processing...