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Christian Meisel

University Name

Germany

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Research Interests

Neurology

50%

Neuropsychology

20%

Clinical Neurophysiology

60%

Eeg

40%

Physiological Monitoring

40%

Neuroscience

30%

Neurological Disorder

20%

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Articles20

Toward a Universal Map of EEG: A Semantic, Low‐Dimensional Manifold for EEG Classification, Clustering, and Prognostication

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Year:

2025

Training size predictably improves machine learning-based epileptic seizure forecasting from wearables

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Year:

2025

Study protocol for the health economic evaluation of outpatient long-term video EEGs for people with seizure disorders alongside the ALVEEG study – a randomized controlled equivalence trial

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Year:

2025

Artificial intelligence for prediction of atrial fibrillation in the stroke unit: a retrospective derivation validation cohort study

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Year:

2025

Implementation of a digital health tool for seizure video transfer in a pediatric epilepsy center: A prospective pilot study

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Year:

2025

Non‐discontinuation of antiseizure medication in seizure‐free patients with epilepsy: Reasons and predictors among neurologists and patients

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Year:

2025

Detection of epileptic spasms using foundational AI and smartphone videos

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Year:

2025

Critical dynamics predicts cognitive performance and provides a common framework for heterogeneous mechanisms impacting cognition

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Year:

2025

Stellungnahme „Künstliche Intelligenz in der Medizin“

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Year:

2025

Association Between Stroke Lesion Size and Atrial Fibrillation Detected After Stroke: An Observational Cohort Study

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Year:

2024

Datawarehouse-enabled quality control of atrial fibrillation detection in the stroke unit setting

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Year:

2023

Explainable AI for wearable seizure logging: impact of data quality, patient age, and antiseizure medication on performance

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Year:

2023

Spatial and temporal correlations in human cortex are inherently linked and predicted by functional hierarchy, vigilance state as well as antiepileptic drug load

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Year:

2023

Data lake-driven analytics identify nocturnal non-dipping of heart rate as predictor of unfavorable stroke outcome at discharge.

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Year:

2023

Ambulantes Langzeit-Video-EEG als neuer diagnostischer Ansatz in Deutschland: Ergebnisse einer Machbarkeitsstudie

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Year:

2022

Wearable device assessments of antiseizure medication effects on diurnal patterns of electrodermal activity, heart rate, and heart rate variability

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Year:

2022

Seizure detection using wearable sensors and machine learning: Setting a benchmark

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Year:

2021

Evaluation and recommendations for effective data visualization for seizure forecasting algorithms.

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Year:

2021

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

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Year:

2021

Video-based Detection of Generalized Tonic-clonic Seizures Using Deep Learning

Article Link

Year:

2021

Collaborators11

Helena Stengl

Charité - Universitätsmedizin Berlin

GERMANY

Simon Hellwig

Charité - Universitätsmedizin Berlin

GERMANY

Ricarda Sophia Schulz

Charité - Universitätsmedizin Berlin

GERMANY

Robert Thomas

Harvard University

UNITED STATES

Lukas Kunz

Assistant Professor

University of Bonn

GERMANY

Christoph Leithner

Charité - Universitätsmedizin Berlin

GERMANY

Tobias Loddenkemper

Harvard University

UNITED STATES

Christian H. Nolte

GERMANY

Mahtab Mirmomeni

University of Melbourne

AUSTRALIA

Jan Scheitz

Charite Universitatsmedizin Berlin Klinik für Neurologie mit Experimenteller Neurologie

GERMANY

Edilberto Amorim

University of California, San Francisco

UNITED STATES

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