Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting-Reference-Cited by-同舟云学术

Machine learning from wristband sensor data for wearable, noninvasive seizure forecasting

Published:2020-10-11 Issue:12 Volume:61 Page:2653-2666
ISSN:0013-9580
Container-title:Epilepsia
language:en
Short-container-title:Epilepsia

Author:

Meisel Christian¹²³^ORCID,El Atrache Rima³^ORCID,Jackson Michele³,Schubach Sarah³,Ufongene Claire³,Loddenkemper Tobias³

Affiliation:

1. Department of Neurology Charité–Universitätsmedizin Berlin Berlin Germany

2. Berlin Institute of Health Berlin Germany

3. Boston Children’s Hospital Boston MA USA

Funder

Epilepsiatutkimussäätiö

Brain and Behavior Research Foundation

Publisher

Wiley

Subject

Clinical Neurology,Neurology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/epi.16719

Reference38 articles.

1. Seizure Forecasting from Idea to Reality. Outcomes of the My Seizure Gauge Epilepsy Innovation Institute Workshop

2. Seizure prediction: the long and winding road

3. A forward-looking review of seizure prediction

4. Melbourne University AES/MathWorks/NIH Seizure Prediction. Available at:https://www.kaggle.com/c/melbourne‐university‐seizure‐prediction. Accessed October 2 2016.

5. Seizure prediction: making mileage on the long and winding road

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