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Person

Stephan Lau

Ingenieur

Name	Stephan Lau
Ort	Ilmenau (Wirkungsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr.-Ing. M. IT.
Beruf	Ingenieur (charakteristischer Beruf)
Beziehung	Technische Universität Ilmenau. Institut für Biomedizinische Technik und Informatik
Weitere Angaben	Diss. Technische Universität Ilmenau, Fachgebiet Biomedizinische Technik
Datensatztyp	Person
GND-Nummer	1107034876
Datensatz-ID	1107034876
Beteiligt an alle anzeigen Perception thresholds and qualitative perceptions for electrocutaneous stimulation Publisher correction: Perception thresholds and qualitative perceptions for electrocutaneous stimulation Coupled CP decomposition of simultaneous MEG-EEG signals for differentiating oscillators during photic driving Biosignal analysis Matching pursuit based removal of cardiac pulse-related artifacts in EEG/fMRI Optimal Magnetic Sensor Vests for Cardiac Source Imaging Skull defects in finite element head models for source reconstruction from magnetoencephalography signals Clustering of interictal events for improved source imaging and fMRI regressor design in high-density EEG-fMRI investigations High temporal resolution EEG in EEG-fMRI investigation of epileptiform brain activity Influence of skull defect conductivity on MEG signal and source reconstruction in an in vivo animal experiment Skull defects influence MEG source reconstruction Strategies for Optimal Design of Biomagnetic Sensor Systems Validating MEG and EEG finite element head models using a controlled rabbit experiment of skull defects Influence of skull defects on MEG source reconstruction in an in-vivo animal experiment Influence of finite element discretization on the EEG/MEG forward solution in rabbits Optimizing a magnetic sensor vest for cardiac source imaging Skull defects in MEG and EEG: experimental results and modelling Sensitivity of EEG/MEG-based reconstruction of neural activity to the finite element model discretization Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms Low HRV entropy is strongly associated with myocardial infarction Low HRV entropy is strongly associated with myocardial infarction Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms

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Katalog der Deutschen Nationalbibliothek

Stephan Lau

Perception thresholds and qualitative perceptions for electrocutaneous stimulation

Publisher correction: Perception thresholds and qualitative perceptions for electrocutaneous stimulation

Coupled CP decomposition of simultaneous MEG-EEG signals for differentiating oscillators during photic driving

Biosignal analysis

Matching pursuit based removal of cardiac pulse-related artifacts in EEG/fMRI

Optimal Magnetic Sensor Vests for Cardiac Source Imaging

Skull defects in finite element head models for source reconstruction from magnetoencephalography signals

Clustering of interictal events for improved source imaging and fMRI regressor design in high-density EEG-fMRI investigations

High temporal resolution EEG in EEG-fMRI investigation of epileptiform brain activity

Influence of skull defect conductivity on MEG signal and source reconstruction in an in vivo animal experiment

Skull defects influence MEG source reconstruction

Strategies for Optimal Design of Biomagnetic Sensor Systems

Validating MEG and EEG finite element head models using a controlled rabbit experiment of skull defects

Influence of skull defects on MEG source reconstruction in an in-vivo animal experiment

Influence of finite element discretization on the EEG/MEG forward solution in rabbits

Optimizing a magnetic sensor vest for cardiac source imaging

Skull defects in MEG and EEG: experimental results and modelling

Sensitivity of EEG/MEG-based reconstruction of neural activity to the finite element model discretization

Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms

Low HRV entropy is strongly associated with myocardial infarction

Low HRV entropy is strongly associated with myocardial infarction

Spatiotemporal correlation analyses: a new procedure for standardisation of DC magnetocardiograms