Meghan Hegarty-Craver1, Barbara L Kroner2, Adrian Bumbut3, Samuel J DeFilipp4, William D Gaillard3, Kristin H Gilchrist4. 1. RTI International, Technology Advancement and Commercialization, United States. Electronic address: mhegarty@rti.org. 2. RTI International, Biostatistics and Epidemiology Department, United States. 3. Children's National Hospital, Department of Epilepsy, Neurophysiology and Critical Care Neurology, United States. 4. RTI International, Technology Advancement and Commercialization, United States.
Abstract
INTRODUCTION: We evaluated a multi-parametric approach to seizure detection using cardiac and activity features to detect a wide range of seizures across different people using the same model. METHODS: Electrocardiogram (ECG) and accelerometer data were collected from a chest-worn sensor from 62 children aged 2-17 years undergoing video-electroencephalogram monitoring for clinical care. ECG data from 5 adults aged 31-48 years who experienced focal seizures were also analyzed from the PhysioNet database. A detection algorithm was developed based on a combination of multiple heart rhythm and motion parameters. RESULTS: Excluding patients with multiple seizures per hour and myoclonic jerks, 25 seizures were captured from 18 children. Using cardiac parameters only, 11/12 generalized seizures with clonic or tonic activity were detected as well as 7/13 focal seizures without generalization. Separately, cardiac parameters were evaluated using electrocardiogram data from 10 complex partial seizures in the PhysioNet database of which 7 were detected. False alarms averaged one per day. Movement-based parameters did not identify any seizures missed by cardiac parameters, but did improve detection time for 4 of the generalized seizures. CONCLUSION: Our data suggest that cardiac measures can detect seizures with bilateral motor features with high sensitivity, while detection of focal seizures depends on seizure duration and localization and may require customization of parameter thresholds.
INTRODUCTION: We evaluated a multi-parametric approach to seizure detection using cardiac and activity features to detect a wide range of seizures across different people using the same model. METHODS: Electrocardiogram (ECG) and accelerometer data were collected from a chest-worn sensor from 62 children aged 2-17 years undergoing video-electroencephalogram monitoring for clinical care. ECG data from 5 adults aged 31-48 years who experienced focal seizures were also analyzed from the PhysioNet database. A detection algorithm was developed based on a combination of multiple heart rhythm and motion parameters. RESULTS: Excluding patients with multiple seizures per hour and myoclonic jerks, 25 seizures were captured from 18 children. Using cardiac parameters only, 11/12 generalized seizures with clonic or tonic activity were detected as well as 7/13 focal seizures without generalization. Separately, cardiac parameters were evaluated using electrocardiogram data from 10 complex partial seizures in the PhysioNet database of which 7 were detected. False alarms averaged one per day. Movement-based parameters did not identify any seizures missed by cardiac parameters, but did improve detection time for 4 of the generalized seizures. CONCLUSION: Our data suggest that cardiac measures can detect seizures with bilateral motor features with high sensitivity, while detection of focal seizures depends on seizure duration and localization and may require customization of parameter thresholds.
Authors: Philippe Ryvlin; Lina Nashef; Samden D Lhatoo; Lisa M Bateman; Jonathan Bird; Andrew Bleasel; Paul Boon; Arielle Crespel; Barbara A Dworetzky; Hans Høgenhaven; Holger Lerche; Louis Maillard; Michael P Malter; Cecile Marchal; Jagarlapudi M K Murthy; Michael Nitsche; Ekaterina Pataraia; Terje Rabben; Sylvain Rheims; Bernard Sadzot; Andreas Schulze-Bonhage; Masud Seyal; Elson L So; Mark Spitz; Anna Szucs; Meng Tan; James X Tao; Torbjörn Tomson Journal: Lancet Neurol Date: 2013-09-04 Impact factor: 44.182
Authors: Jesper Jeppesen; Anders Fuglsang-Frederiksen; Peter Johansen; Jakob Christensen; Stephan Wüstenhagen; Hatice Tankisi; Erisela Qerama; Alexander Hess; Sándor Beniczky Journal: Epilepsia Date: 2019-09-20 Impact factor: 5.864
Authors: Ming-Zher Poh; Tobias Loddenkemper; Claus Reinsberger; Nicholas C Swenson; Shubhi Goyal; Mangwe C Sabtala; Joseph R Madsen; Rosalind W Picard Journal: Epilepsia Date: 2012-03-20 Impact factor: 5.864
Authors: Kristin H Gilchrist; Meghan Hegarty-Craver; Robert B Christian; Sonia Grego; Ashley C Kies; Anne C Wheeler Journal: J Autism Dev Disord Date: 2018-05
Authors: Paul Boon; Kristl Vonck; Kenou van Rijckevorsel; Riem El Tahry; Christian E Elger; Nandini Mullatti; Andreas Schulze-Bonhage; Louis Wagner; Beate Diehl; Hajo Hamer; Markus Reuber; Hrisimir Kostov; Benjamin Legros; Soheyl Noachtar; Yvonne G Weber; Volker A Coenen; Herbert Rooijakkers; Olaf E M G Schijns; Richard Selway; Dirk Van Roost; Katherine S Eggleston; Wim Van Grunderbeek; Amara K Jayewardene; Ryan M McGuire Journal: Seizure Date: 2015-09-21 Impact factor: 3.184