Automatic responsiveness testing in epilepsy with wearable technology: The ARTiE Watch

Objective An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and repr...

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Published inEpilepsia (Copenhagen) Vol. 66; no. 1; pp. 104 - 116
Main Authors Wheeler, Lydia, Kremen, Vaclav, Mersereau, Cole, Ornelas, Guillermo, Yadav, Taruna, Cormier, Devon, Derry, Allyson, Duque Lopez, Andrea, McQuown, Kevin, Sladky, Vladimir, Benjamin, Christopher, Giacino, Joseph, Worrell, Gregory, Blumenfeld, Hal
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.01.2025
Subjects
Online AccessGet full text
ISSN0013-9580
1528-1167
1528-1167
DOI10.1111/epi.18181

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Abstract Objective An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy—the ARTiE Watch—to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures. Methods We prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long‐term video‐electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files. Results Eighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch‐tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal–postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic–clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001). Significance ARTiE Watch behavioral testing deployed utilizing a mobile cloud‐based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.
AbstractList ObjectiveAn accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy—the ARTiE Watch—to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures.MethodsWe prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long‐term video‐electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files.ResultsEighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch‐tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal–postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic–clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001).SignificanceARTiE Watch behavioral testing deployed utilizing a mobile cloud‐based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.
Objective An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy—the ARTiE Watch—to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures. Methods We prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long‐term video‐electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files. Results Eighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch‐tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal–postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic–clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001). Significance ARTiE Watch behavioral testing deployed utilizing a mobile cloud‐based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.
An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy-the ARTiE Watch-to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures. We prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long-term video-electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files. Eighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch-tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal-postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic-clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001). ARTiE Watch behavioral testing deployed utilizing a mobile cloud-based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.
An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy-the ARTiE Watch-to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures.OBJECTIVEAn accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods for assessing behavioral responsiveness are characterized by substantial variation, subjectivity, and limited reliability and reproducibility in ambulatory and epilepsy monitoring unit settings. In this study, we aimed to develop and implement a novel mobile platform for deployment of automated responsiveness testing in epilepsy-the ARTiE Watch-to facilitate standardized, objective assessments of behavioral responsiveness during and after seizures.We prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long-term video-electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files.METHODSWe prospectively recruited patients admitted to the epilepsy monitoring units for diagnostic evaluation and long-term video-electroencephalographic monitoring at Mayo Clinic and Yale New Haven Hospital. Participants wore the ARTiE Watch, a smartwatch paired with custom smartphone software integrated with cloud infrastructure allowing for remote activation of standardized assessment on the participants' smartwatches. The assessment consisted of 18 command prompts that test behavioral responsiveness across motor, language, and memory domains. Upon visually identifying an electrographic seizure during EMU monitoring, the BrainRISE platform was used to deploy the ARTiE Watch behavioral testing sequence. Responsiveness scoring was conducted on smartwatch files.Eighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch-tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal-postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic-clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001).RESULTSEighteen of 56 participants had a total of 39 electrographic seizures assessed with the ARTiE Watch. The 18 subjects with ARTiE Watch-tested seizures had a total of 67 baseline (interictal) ARTiE Watch tests collected for analysis. The analysis showed distinct ARTiE Watch behavioral responsiveness phenotypes: (1) decreased responsiveness across all ARTiE Watch commands during seizure (ictal-postictal) periods compared (to baseline (p < .0001), (2) decreased responsiveness in bilateral tonic-clonic seizures compared to baseline (p < .0001) and compared to focal seizures (p < .0001), and (3) decreased responsiveness during focal impaired awareness seizures compared to baseline (p < .0001) and compared to focal aware seizures (p < .001).ARTiE Watch behavioral testing deployed utilizing a mobile cloud-based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.SIGNIFICANCEARTiE Watch behavioral testing deployed utilizing a mobile cloud-based platform is feasible and can provide standardized, objective behavioral responsiveness assessments during seizures.
Author Worrell, Gregory
McQuown, Kevin
Cormier, Devon
Benjamin, Christopher
Duque Lopez, Andrea
Giacino, Joseph
Blumenfeld, Hal
Wheeler, Lydia
Derry, Allyson
Yadav, Taruna
Kremen, Vaclav
Ornelas, Guillermo
Mersereau, Cole
Sladky, Vladimir
AuthorAffiliation 2 Mayo Clinic Graduate School of Biomedical Science, Mayo Clinic, Rochester, Minnesota, USA
7 Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
9 Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, USA
4 Windy City Labs, Chicago, Illinois, USA
1 Department of Neurology, Bioelectronics Neurophysiology, and Engineering Lab, Mayo Clinic, Rochester, Minnesota, USA
5 Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA
6 Department of Psychology, Yale School of Medicine, New Haven, Connecticut, USA
3 Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
8 Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
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Issue 1
Keywords focal seizure
semiology
memory
consciousness
behavioral testing
safety
attention
generalized seizure
wearable technology
Language English
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Notes See Appendix
A
for full list of START Project Collaborative Team.
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AUTHOR CONTRIBUTIONS
Lydia Wheeler, Andrea Duque Lopez, Vaclav Kremen, Kevin McQuown, Vladimir Sladky, Christopher Benjamin, Joseph Giacino, Gregory Worrell, Hal Blumenfeld, and the START Project Collaborative Team contributed to the study’s conception and design. Lydia Wheeler, Cole Mersereau, Guillermo Ornelas, Taruna Yadav, Allyson Derry, Devon Cormier, Vaclav Kremen, Gregory Worrell, and Hal Blumenfeld contributed to the acquisition and analysis of data. Lydia Wheeler, Taruna Yadav, Vaclav Kremen, Gregory Worrell, and Hal Blumenfeld contributed to drafting a significant portion of the manuscript or figures.
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Snippet Objective An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management....
An accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management. Current methods...
ObjectiveAn accurate evaluation of behavioral responsiveness during and after seizures in people with epilepsy is critical for diagnosis and management....
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StartPage 104
SubjectTerms Adolescent
Adult
attention
behavioral testing
consciousness
Convulsions & seizures
EEG
Electroencephalography - methods
Epilepsy
Epilepsy - diagnosis
Epilepsy - physiopathology
Epilepsy - psychology
Female
focal seizure
generalized seizure
Humans
Male
memory
Middle Aged
Phenotypes
Prospective Studies
Reproducibility of Results
safety
Seizures
Seizures - diagnosis
Seizures - physiopathology
semiology
Smartphone
Smartwatches
Wearable computers
Wearable Electronic Devices
wearable technology
Young Adult
Title Automatic responsiveness testing in epilepsy with wearable technology: The ARTiE Watch
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fepi.18181
https://www.ncbi.nlm.nih.gov/pubmed/39559901
https://www.proquest.com/docview/3156736733
https://www.proquest.com/docview/3130211161
https://pubmed.ncbi.nlm.nih.gov/PMC11817799
Volume 66
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