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 in | Epilepsia (Copenhagen) Vol. 66; no. 1; pp. 104 - 116 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.01.2025
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Subjects | |
Online Access | Get full text |
ISSN | 0013-9580 1528-1167 1528-1167 |
DOI | 10.1111/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. |
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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 |
AuthorAffiliation_xml | – name: 1 Department of Neurology, Bioelectronics Neurophysiology, and Engineering Lab, Mayo Clinic, Rochester, Minnesota, USA – name: 4 Windy City Labs, Chicago, Illinois, USA – name: 8 Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA – name: 9 Department of Neuroscience, Yale School of Medicine, New Haven, Connecticut, USA – name: 5 Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA – name: 6 Department of Psychology, Yale School of Medicine, New Haven, Connecticut, USA – name: 2 Mayo Clinic Graduate School of Biomedical Science, Mayo Clinic, Rochester, Minnesota, USA – name: 7 Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA – name: 3 Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA |
Author_xml | – sequence: 1 givenname: Lydia orcidid: 0000-0003-3627-1964 surname: Wheeler fullname: Wheeler, Lydia email: wheeler.lydia@mayo.edu organization: Mayo Clinic – sequence: 2 givenname: Vaclav surname: Kremen fullname: Kremen, Vaclav organization: Mayo Clinic – sequence: 3 givenname: Cole surname: Mersereau fullname: Mersereau, Cole organization: Yale School of Medicine – sequence: 4 givenname: Guillermo surname: Ornelas fullname: Ornelas, Guillermo organization: Yale School of Medicine – sequence: 5 givenname: Taruna surname: Yadav fullname: Yadav, Taruna organization: Yale School of Medicine – sequence: 6 givenname: Devon surname: Cormier fullname: Cormier, Devon organization: Yale School of Medicine – sequence: 7 givenname: Allyson surname: Derry fullname: Derry, Allyson organization: Yale School of Medicine – sequence: 8 givenname: Andrea orcidid: 0009-0009-7102-2024 surname: Duque Lopez fullname: Duque Lopez, Andrea organization: Mayo Clinic – sequence: 9 givenname: Kevin surname: McQuown fullname: McQuown, Kevin organization: Windy City Labs – sequence: 10 givenname: Vladimir surname: Sladky fullname: Sladky, Vladimir organization: Mayo Clinic – sequence: 11 givenname: Christopher orcidid: 0000-0002-2000-9016 surname: Benjamin fullname: Benjamin, Christopher organization: Yale School of Medicine – sequence: 12 givenname: Joseph surname: Giacino fullname: Giacino, Joseph organization: Harvard Medical School – sequence: 13 givenname: Gregory orcidid: 0000-0003-2916-0553 surname: Worrell fullname: Worrell, Gregory email: worrell.gregory@mayo.edu organization: Mayo Clinic – sequence: 14 givenname: Hal orcidid: 0000-0003-0812-8132 surname: Blumenfeld fullname: Blumenfeld, Hal email: hal.blumenfeld@yale.edu organization: Yale School of Medicine |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39559901$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.yebeh.2012.10.022 10.1016/j.yebeh.2021.108067 10.1111/epi.13472 10.1101/2024.02.09.24302358 10.1016/j.seizure.2017.06.015 10.1016/j.apmr.2004.02.033 10.1684/epd.2022.1472 10.1016/j.yebeh.2008.01.009 10.1111/j.1528-1167.2007.01420.x 10.1093/brain/awq316 10.1093/brain/awf276 10.1111/j.1528-1167.2012.03657.x 10.1212/WNL.0000000000000404 10.1111/j.1528-1167.2011.03341.x 10.1016/j.yebeh.2013.09.007 10.1002/acn3.51552 10.1016/j.seizure.2019.08.008 10.1212/CPJ.0000000000000815 10.1038/nrdp.2018.24 10.1016/j.yebeh.2015.12.003 10.1002/acn3.51485 10.3389/fneur.2021.704170 10.1111/epi.13670 10.1109/JTEHM.2018.2869398 |
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Copyright | 2024 International League Against Epilepsy. Copyright © 2025 International League Against Epilepsy |
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Keywords | focal seizure semiology memory consciousness behavioral testing safety attention generalized seizure wearable technology |
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Notes | See Appendix A for full list of START Project Collaborative Team. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 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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References | 2004; 85 2013; 26 2019; 72 2022b; 24 2008; 13 2021; 122 2024 2014; 82 2016; 57 2012; 53 2016; 55 2017; 50 2018; 6 2021; 12 2018; 4 2021; 11 2017; 58 2022 2002; 125 2008; 49 2022; 9 2010; 133 2022a; 9 2014; 30 1998; 55 Bell W (e_1_2_11_23_1) 1998; 55 e_1_2_11_10_1 e_1_2_11_14_1 e_1_2_11_13_1 e_1_2_11_12_1 e_1_2_11_11_1 e_1_2_11_6_1 e_1_2_11_28_1 e_1_2_11_5_1 e_1_2_11_4_1 e_1_2_11_26_1 e_1_2_11_3_1 e_1_2_11_2_1 Toulomes G (e_1_2_11_7_1) 2016; 57 e_1_2_11_21_1 e_1_2_11_20_1 Yadav T (e_1_2_11_27_1) 2022 e_1_2_11_25_1 e_1_2_11_24_1 e_1_2_11_9_1 e_1_2_11_8_1 e_1_2_11_22_1 e_1_2_11_18_1 e_1_2_11_17_1 e_1_2_11_16_1 e_1_2_11_15_1 e_1_2_11_19_1 |
References_xml | – volume: 57 start-page: e28 issue: 1 year: 2016 end-page: e32 article-title: Human bedside evaluation versus automatic responsiveness testing in epilepsy (ARTiE) publication-title: Epilepsia – volume: 11 start-page: 127 issue: 2 year: 2021 end-page: 133 article-title: Developing and implementing a standardized ictal examination in the epilepsy monitoring unit publication-title: Neurol Clin Pract – volume: 50 start-page: 92 year: 2017 end-page: 98 article-title: With ILAE British chapter workshop attendees. Current practice and recommendations in UK epilepsy monitoring units. Report of a national survey and workshop publication-title: Seizure – volume: 9 start-page: 16 issue: 1 year: 2022 end-page: 29 article-title: Reliability of patient self‐report of cognition, awareness, and consciousness during seizures publication-title: Ann Clin Transl Neurol – volume: 4 start-page: 1 issue: 1 year: 2018 end-page: 24 article-title: Epilepsy publication-title: Nat Rev Dis Primers – volume: 82 start-page: 1736 year: 2014 end-page: 1744 article-title: Impaired consciousness in partial seizures is bimodally distributed publication-title: Neurology – volume: 72 start-page: 13 year: 2019 end-page: 22 article-title: Structured testing during seizures: A practical guide for assessing and interpreting ictal and postictal signs during video EEG long term monitoring publication-title: Seizure – volume: 125 start-page: 2691 issue: 12 year: 2002 end-page: 2698 article-title: The localizing value of ictal consciousness and its constituent functions: a video‐EEG study in patients with focal epilepsy publication-title: Brain – volume: 53 start-page: 437 year: 2012 end-page: 447 article-title: Impaired consciousness in epilepsy investigated by a prospective responsiveness in epilepsy scale (RES) publication-title: Epilepsia – volume: 133 start-page: 3764 year: 2010 end-page: 3777 article-title: Impaired consciousness in temporal lobe seizures: role of cortical slow activity publication-title: Brain – volume: 55 start-page: 128 year: 2016 end-page: 132 article-title: Subjective and objective characteristics of altered consciousness during epileptic seizures publication-title: Epilepsy Behav – volume: 26 start-page: 25 year: 2013 end-page: 28 article-title: Prospective assessment of ictal behavior using the revised responsiveness in epilepsy scale (RES‐II) publication-title: Epilepsy Behav – volume: 57 start-page: 1363 year: 2016 end-page: 1368 article-title: Testing patients during seizures: a European consensus procedure developed by a joint taskforce of the ILAE—commission on European affairs and the European epilepsy monitoring unit association publication-title: Epilepsia – start-page: 2 year: 2022 end-page: 436 article-title: Stimulation of the thalamus for arousal restoral in temporal lobe epilepsy (START) clinical trial publication-title: American Epilepsy Society Abstract – volume: 55 start-page: 1456 year: 1998 end-page: 1459 article-title: Ictal cognitive assessment of partial seizures and pseudoseizures publication-title: JAMA Neurol – volume: 122 year: 2021 article-title: Improved ictal assessment performance in the epilepsy monitoring unit via standardization publication-title: Epilepsy Behav – volume: 85 start-page: 2020 year: 2004 end-page: 2029 article-title: The JFK coma recovery‐scale revised: measurement characteristics and diagnostic utility publication-title: Arch Phys Med Rehabil – volume: 9 start-page: 762 year: 2022a end-page: 765 article-title: Testing awareness in focal seizures: clinical practice and interpretation of current guidelines. 2022a publication-title: Ann Clin Transl Neurol – volume: 30 start-page: 2 year: 2014 end-page: 5 article-title: The quantitative measurement of consciousness during epileptic seizures publication-title: Epilepsy Behav – volume: 58 start-page: 522 issue: 4 year: 2017 end-page: 530 article-title: Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE Commission for Classification and Terminology publication-title: Epilepsia – year: 2024 article-title: Platform for brain network sensing and stimulation with quantitative behavioral tracking: application to limbic circuit epilepsy publication-title: medRxiv – volume: 49 start-page: 677 issue: 4 year: 2008 end-page: 684 article-title: Duration of complex partial seizures: an intracranial EEG study publication-title: Epilepsia – volume: 6 start-page: 1 year: 2018 end-page: 12 article-title: Integrating brain implants with local and distributed computing devices: A next generation epilepsy management system publication-title: IEEE J Transl Eng Health Med – volume: 12 start-page: 1 year: 2021 end-page: 14 article-title: Epilepsy personal assistant device—a mobile platform for brain state, dense behavioral and physiology tracking and controlling adaptive stimulation publication-title: Front Neurol – volume: 53 start-page: e180 issue: 10 year: 2012 end-page: e183 article-title: Testing for minimal consciousness in complex partial and generalized tonic‐clonic seizures publication-title: Epilepsia – volume: 24 start-page: 899 year: 2022b end-page: 905 article-title: Evaluating consciousness and awareness during focal seizures: responsiveness testing versus recall testing. 2022b publication-title: Epileptic Disord – volume: 13 start-page: 184 issue: 1 year: 2008 end-page: 188 article-title: Measuring the level and content of consciousness during epileptic seizures: the ictal consciousness inventory publication-title: Epilepsy Behav – ident: e_1_2_11_11_1 doi: 10.1016/j.yebeh.2012.10.022 – volume: 55 start-page: 1456 year: 1998 ident: e_1_2_11_23_1 article-title: Ictal cognitive assessment of partial seizures and pseudoseizures publication-title: JAMA Neurol – ident: e_1_2_11_2_1 doi: 10.1016/j.yebeh.2021.108067 – ident: e_1_2_11_4_1 doi: 10.1111/epi.13472 – ident: e_1_2_11_8_1 doi: 10.1101/2024.02.09.24302358 – ident: e_1_2_11_5_1 doi: 10.1016/j.seizure.2017.06.015 – ident: e_1_2_11_10_1 doi: 10.1016/j.apmr.2004.02.033 – ident: e_1_2_11_19_1 doi: 10.1684/epd.2022.1472 – ident: e_1_2_11_25_1 doi: 10.1016/j.yebeh.2008.01.009 – ident: e_1_2_11_14_1 doi: 10.1111/j.1528-1167.2007.01420.x – start-page: 2 year: 2022 ident: e_1_2_11_27_1 article-title: Stimulation of the thalamus for arousal restoral in temporal lobe epilepsy (START) clinical trial publication-title: American Epilepsy Society Abstract – ident: e_1_2_11_22_1 doi: 10.1093/brain/awq316 – volume: 57 start-page: e28 issue: 1 year: 2016 ident: e_1_2_11_7_1 article-title: Human bedside evaluation versus automatic responsiveness testing in epilepsy (ARTiE) publication-title: Epilepsia – ident: e_1_2_11_21_1 doi: 10.1093/brain/awf276 – ident: e_1_2_11_17_1 doi: 10.1111/j.1528-1167.2012.03657.x – ident: e_1_2_11_12_1 doi: 10.1212/WNL.0000000000000404 – ident: e_1_2_11_13_1 doi: 10.1111/j.1528-1167.2011.03341.x – ident: e_1_2_11_26_1 doi: 10.1016/j.yebeh.2013.09.007 – ident: e_1_2_11_18_1 doi: 10.1002/acn3.51552 – ident: e_1_2_11_6_1 doi: 10.1016/j.seizure.2019.08.008 – ident: e_1_2_11_15_1 doi: 10.1212/CPJ.0000000000000815 – ident: e_1_2_11_3_1 doi: 10.1038/nrdp.2018.24 – ident: e_1_2_11_24_1 doi: 10.1016/j.yebeh.2015.12.003 – ident: e_1_2_11_20_1 doi: 10.1002/acn3.51485 – ident: e_1_2_11_9_1 doi: 10.3389/fneur.2021.704170 – ident: e_1_2_11_16_1 doi: 10.1111/epi.13670 – ident: e_1_2_11_28_1 doi: 10.1109/JTEHM.2018.2869398 |
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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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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 |
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