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Matthias Dümpelmann (1963-)

Elektrotechniker

Name	Matthias Dümpelmann
Zeit	1963- (Lebensdaten)
Ort	Sonstiges Ausland / Unbekanntes Land
Beruf	Elektrotechniker (charakteristischer Beruf)
Weitere Angaben	Diss. Fachbereich Elektrotechnik
Datensatztyp	Person
GND-Nummer	12033464X
Datensatz-ID	12033464X
Beteiligt an alle anzeigen Intracranial EEG-based directed functional connectivity in alpha to gamma frequency range reflects local circuits of the Human Mesiotemporal Network High precision in epileptic seizure self-reporting with an app diary Addressing data limitations in seizure prediction through transfer learning Addressing data limitations in seizure prediction through transfer learning Editorial: Seizure forecasting tools, biomarkers and devices High precision in epileptic seizure self-reporting with an app diary Home recording of 3 Hz spike‐wave discharges in adults with absence epilepsy using the wearable Sensor Dot Resting state connectivity biomarkers of seizure freedom after epilepsy surgery Semiautomated electric source imaging determines epileptogenicity of encephaloceles in temporal lobe epilepsy The value of self-reported variables in epilepsy monitoring and management. A systematic scoping review Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models Cyclical underreporting of seizures in patient‐based seizure documentation Physiological and pathological neuronal connectivity in the living human brain based on intracranial EEG signals: the current state of research Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models Data quality evaluation in wearable monitoring A comparison of energy-efficient seizure detectors for implantable neurostimulation devices Data quality evaluation in wearable monitoring Detection of interictal epileptiform discharges in an extended scalp EEG array and high‐density EEG – a prospective multicenter study Ensemble deep neural network for automatic classification of EEG independent components EPIC: Annotated epileptic EEG independent components for artifact reduction Intra- and inter-subject perspectives on the detection of focal onset motor seizures in epilepsy patients Temporal evolution of multiday, epileptic functional networks prior to seizure occurrence 230 days of ultra long‐term subcutaneous EEG: seizure cycle analysis and comparison to patient diary Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning Automatic electroencephalogram artifact removal using deep convolutional neural networks Detecting tonic-clonic seizures in multimodal biosignal data from wearables: methodology design and validation Distinction of physiologic and epileptic ripples: an electrical stimulation study Effects of spatial memory processing on hippocampal ripples Identification of ictal tachycardia in focal motor- and non-motor seizures by means of a wearable PPG sensor Low-frequency electrical stimulation reduces cortical excitability in the human brain The power of ECG in multimodal patient‐specific seizure monitoring: Added value to an EEG‐based detector using limited channels A taxonomy of seizure dynamotypes In vivo-assessment of the human temporal network: evidence for asymmetrical effective connectivity Interictal fast ripples are associated with the seizure-generating lesion in patients with dual pathology Stable high frequency background EEG activity distinguishes epileptic from healthy brain regions High-frequency oscillations mirror severity of human temporal lobe seizures Hippocampal theta phases organize the reactivation of large-scale electrophysiological representations during goal-directed navigation A comparison of machine learning classifiers for energy-efficient implementation of seizure detection Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone Entwicklung und Vergleich von Methoden zur automatischen Erkennung epilepsietypischer Signale aus dem Elektrocorticogramm

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Katalog der Deutschen Nationalbibliothek

Matthias Dümpelmann (1963-)

Intracranial EEG-based directed functional connectivity in alpha to gamma frequency range reflects local circuits of the Human Mesiotemporal Network

High precision in epileptic seizure self-reporting with an app diary

Addressing data limitations in seizure prediction through transfer learning

Addressing data limitations in seizure prediction through transfer learning

Editorial: Seizure forecasting tools, biomarkers and devices

High precision in epileptic seizure self-reporting with an app diary

Home recording of 3 Hz spike‐wave discharges in adults with absence epilepsy using the wearable Sensor Dot

Resting state connectivity biomarkers of seizure freedom after epilepsy surgery

Semiautomated electric source imaging determines epileptogenicity of encephaloceles in temporal lobe epilepsy

The value of self-reported variables in epilepsy monitoring and management. A systematic scoping review

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models

Cyclical underreporting of seizures in patient‐based seizure documentation

Physiological and pathological neuronal connectivity in the living human brain based on intracranial EEG signals: the current state of research

Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models

Data quality evaluation in wearable monitoring

A comparison of energy-efficient seizure detectors for implantable neurostimulation devices

Data quality evaluation in wearable monitoring

Detection of interictal epileptiform discharges in an extended scalp EEG array and high‐density EEG – a prospective multicenter study

Ensemble deep neural network for automatic classification of EEG independent components

EPIC: Annotated epileptic EEG independent components for artifact reduction

Intra- and inter-subject perspectives on the detection of focal onset motor seizures in epilepsy patients

Temporal evolution of multiday, epileptic functional networks prior to seizure occurrence

230 days of ultra long‐term subcutaneous EEG: seizure cycle analysis and comparison to patient diary

Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning

Automatic electroencephalogram artifact removal using deep convolutional neural networks

Detecting tonic-clonic seizures in multimodal biosignal data from wearables: methodology design and validation

Distinction of physiologic and epileptic ripples: an electrical stimulation study

Effects of spatial memory processing on hippocampal ripples

Identification of ictal tachycardia in focal motor- and non-motor seizures by means of a wearable PPG sensor

Low-frequency electrical stimulation reduces cortical excitability in the human brain

The power of ECG in multimodal patient‐specific seizure monitoring: Added value to an EEG‐based detector using limited channels

A taxonomy of seizure dynamotypes

In vivo-assessment of the human temporal network: evidence for asymmetrical effective connectivity

Interictal fast ripples are associated with the seizure-generating lesion in patients with dual pathology

Stable high frequency background EEG activity distinguishes epileptic from healthy brain regions

High-frequency oscillations mirror severity of human temporal lobe seizures

Hippocampal theta phases organize the reactivation of large-scale electrophysiological representations during goal-directed navigation

A comparison of machine learning classifiers for energy-efficient implementation of seizure detection

Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone

Entwicklung und Vergleich von Methoden zur automatischen Erkennung epilepsietypischer Signale aus dem Elektrocorticogramm