Performance of ECG‐based seizure detection algorithms strongly depends on training and test conditions-Reference-Cited by-同舟云学术

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Performance of ECG‐based seizure detection algorithms strongly depends on training and test conditions

Published:2021-07-20 Issue:3 Volume:6 Page:597-606
ISSN:2470-9239
Container-title:Epilepsia Open
language:en
Short-container-title:Epilepsia Open

Author:

Jahanbekam Amirhossein¹,Baumann Jan¹,Nass Robert D.¹^ORCID,Bauckhage Christian²,Hill Holger³,Elger Christian E.¹,Surges Rainer¹^ORCID

Affiliation:

1. Department of Epileptology University Hospital Bonn Bonn Germany

2. Fraunhofer‐Institut für Intelligente Analyse‐ und Informationssysteme IAIS Sankt Augustin Germany

3. Mental mHealth Lab Institut für Sport und SportwissenschaftKarlsruher Institut für Technologie Karlsruhe Germany

Funder

Marga und Walter Boll-Stiftung

Publisher

Wiley

Subject

Clinical Neurology,Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/epi4.12520

Reference24 articles.

1. Epilepsy after the first drug fails: substitution or add-on?

3. When do patients forget their seizures? An electroclinical study

4. First long term in vivo study on subdurally implanted Micro-ECoG electrodes, manufactured with a novel laser technology

5. Novel techniques for automated seizure registration: Patients' wants and needs

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1. Autonomic biosignals, seizure detection, and forecasting;Epilepsia;2024-06-05

2. Detection of focal to bilateral tonic–clonic seizures using a connected shirt;Epilepsia;2024-05-23

3. Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives;Royal Society Open Science;2024-05

4. Feasibility of cardiac‐based seizure detection and prediction: A systematic review of non‐invasive wearable sensor‐based studies;Epilepsia Open;2023-11-28

5. Non-electroencephalogram-based seizure detection devices: State of the art and future perspectives;Epilepsy & Behavior;2023-11

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