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Paper Details

Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning.
J Child Neurol
4
2020
epilepsy, epileptic seizures, patient, patients
Adolescent, Adult, Child, Epilepsy, Female, Fitness Trackers, Humans, Machine Learning, Male, Monitoring, Physiologic, Reproducibility of Results, Seizures, Young Adult
Author NameAffiliation
Jackson MittlesteadtUniversity of Notre Dame
Sven Bambach51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Alex Dawes7The Ohio State University
Evelynne Wentzel51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Andrea Debs51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Emre Sezgin51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Dan Digby51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Yungui Huang51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Andrea Ganger0Nationwide Children's Hospital
Shivani Bhatnagar0Nationwide Children's Hospital
Lori Ehrenberg0Nationwide Children's Hospital
Sunjay NunleyPrisma Health Children's Hospital and University of South Carolina School of Medicine
Peter Glynn0Nationwide Children's Hospital
Simon Lin51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Steve Rust51711Abigail Wexner Research Institute at Nationwide Children's Hospital
Anup D Patel0Nationwide Children's Hospital
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Release 1.2