Clinical Scenarios for Long-term Monitoring of Epileptic Seizures With a Wearable Biopotential Technology
NCT ID: NCT04284072
Last Updated: 2022-11-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
496 participants
INTERVENTIONAL
2020-06-22
2022-06-30
Brief Summary
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Detailed Description
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A subset of subjects will continue using Sensor Dot devices at home (Home Phase) after completing the EMU Phase.
The data recorded by Sensor Dots will be used to: 1) annotate epileptic seizures, which will be compared to the annotations made as part of routine EMU monitoring and seizure diaries kept at home, and 2) to develop seizure detection algorithms. The data collected as part of this study will not be used to influence clinical decision making.
Conditions
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Study Design
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NA
SEQUENTIAL
DIAGNOSTIC
NONE
Study Groups
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All subjects
Single arm study with a device intervention for epileptic seizure monitoring in subjects with refractory focal impaired awareness, tonic-clonic, and/or typical absence seizures.
Sensor Dot
Multimodal (EEG, ECG, EMG and motion) seizure monitoring with Sensor Dot to complement EMU-based video-EEG monitoring (EMU Phase), and optional home-based seizure diary logging (Home Phase).
Interventions
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Sensor Dot
Multimodal (EEG, ECG, EMG and motion) seizure monitoring with Sensor Dot to complement EMU-based video-EEG monitoring (EMU Phase), and optional home-based seizure diary logging (Home Phase).
Eligibility Criteria
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Inclusion Criteria
* For subjects continuing into the Home Phase: successful recording of their habitual seizures with Sensor Dot during the EMU Phase
* For subjects continuing into the Home Phase: the ability to keep an e-diary
Exclusion Criteria
* Having an implanted device, such as (but not limited to) a pacemaker, cardioverter defibrillator (ICD), and/or neural stimulation device because Sensor Dot contains magnets that could interfere with the operation of these devices
* Women who are pregnant
4 Years
ALL
No
Sponsors
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Freiburg University
UNKNOWN
King's College London
OTHER
Oxford University Hospitals NHS Trust
OTHER
University of Coimbra
OTHER
Karolinska Institutet
OTHER
RWTH Aachen University
OTHER
UCB Pharma
INDUSTRY
Byteflies
INDUSTRY
Helpilepsy
UNKNOWN
Universitaire Ziekenhuizen KU Leuven
OTHER
Responsible Party
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Principal Investigators
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Wim Van Paesschen, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
UZ Leuven and KU Leuven
Locations
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University Hospitals Leuven, department of Neurology
Leuven, , Belgium
Department of Epileptology and Neurology
Aachen, , Germany
Epilepsy Center, University Medical Center, Freiburg University
Freiburg im Breisgau, , Germany
Division of Neurology, Coimbra University Hospital
Coimbra, , Portugal
Department of Clinical Neuroscience, Karolinska Institute
Stockholm, , Sweden
Division of Neuroscience, King's College London
London, , United Kingdom
Nuffield Department of Clinical Neurosciences, Oxford University Hospital
Oxford, , United Kingdom
Countries
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References
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Fisher RS, Acevedo C, Arzimanoglou A, Bogacz A, Cross JH, Elger CE, Engel J Jr, Forsgren L, French JA, Glynn M, Hesdorffer DC, Lee BI, Mathern GW, Moshe SL, Perucca E, Scheffer IE, Tomson T, Watanabe M, Wiebe S. ILAE official report: a practical clinical definition of epilepsy. Epilepsia. 2014 Apr;55(4):475-82. doi: 10.1111/epi.12550. Epub 2014 Apr 14.
Sander JW. The epidemiology of epilepsy revisited. Curr Opin Neurol. 2003 Apr;16(2):165-70. doi: 10.1097/01.wco.0000063766.15877.8e.
Kwan P, Brodie MJ. Early identification of refractory epilepsy. N Engl J Med. 2000 Feb 3;342(5):314-9. doi: 10.1056/NEJM200002033420503.
Elger CE, Hoppe C. Diagnostic challenges in epilepsy: seizure under-reporting and seizure detection. Lancet Neurol. 2018 Mar;17(3):279-288. doi: 10.1016/S1474-4422(18)30038-3.
Hoppe C, Poepel A, Elger CE. Epilepsy: accuracy of patient seizure counts. Arch Neurol. 2007 Nov;64(11):1595-9. doi: 10.1001/archneur.64.11.1595.
Kurada AV, Srinivasan T, Hammond S, Ulate-Campos A, Bidwell J. Seizure detection devices for use in antiseizure medication clinical trials: A systematic review. Seizure. 2019 Mar;66:61-69. doi: 10.1016/j.seizure.2019.02.007. Epub 2019 Feb 13.
Bidwell J, Khuwatsamrit T, Askew B, Ehrenberg JA, Helmers S. Seizure reporting technologies for epilepsy treatment: A review of clinical information needs and supporting technologies. Seizure. 2015 Nov;32:109-17. doi: 10.1016/j.seizure.2015.09.006. Epub 2015 Sep 18.
Beniczky S, Ryvlin P. Standards for testing and clinical validation of seizure detection devices. Epilepsia. 2018 Jun;59 Suppl 1:9-13. doi: 10.1111/epi.14049.
Szabo CA, Morgan LC, Karkar KM, Leary LD, Lie OV, Girouard M, Cavazos JE. Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings. Epilepsia. 2015 Sep;56(9):1432-7. doi: 10.1111/epi.13083. Epub 2015 Jul 20.
Beniczky S, Conradsen I, Wolf P. Detection of convulsive seizures using surface electromyography. Epilepsia. 2018 Jun;59 Suppl 1:23-29. doi: 10.1111/epi.14048.
Beniczky S, Polster T, Kjaer TW, Hjalgrim H. Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: a prospective, multicenter study. Epilepsia. 2013 Apr;54(4):e58-61. doi: 10.1111/epi.12120. Epub 2013 Feb 8.
Kjaer TW, Sorensen HBD, Groenborg S, Pedersen CR, Duun-Henriksen J. Detection of Paroxysms in Long-Term, Single-Channel EEG-Monitoring of Patients with Typical Absence Seizures. IEEE J Transl Eng Health Med. 2017 Jan 9;5:2000108. doi: 10.1109/JTEHM.2017.2649491. eCollection 2017.
Zibrandtsen IC, Kidmose P, Christensen CB, Kjaer TW. Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy - A comparison with scalp EEG monitoring. Clin Neurophysiol. 2017 Dec;128(12):2454-2461. doi: 10.1016/j.clinph.2017.09.115. Epub 2017 Oct 12.
Gu Y, Cleeren E, Dan J, Claes K, Van Paesschen W, Van Huffel S, Hunyadi B. Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. Sensors (Basel). 2017 Dec 23;18(1):29. doi: 10.3390/s18010029.
Dan J, Weckhuysen D, Cleeren E, Van Paesschen W, Vandendriessche B. Technical validation of Sensor Dot: a wearable for ambulatory monitoring of epileptic seizures. 2nd International Congress on mobile devices and seizure detection in epilepsy; Lausanne, Switzerland, 2019.
Seeck M, Koessler L, Bast T, Leijten F, Michel C, Baumgartner C, He B, Beniczky S. The standardized EEG electrode array of the IFCN. Clin Neurophysiol. 2017 Oct;128(10):2070-2077. doi: 10.1016/j.clinph.2017.06.254. Epub 2017 Jul 17.
Macea J, Heremans ERM, Proost R, De Vos M, Van Paesschen W. Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data. J Sleep Res. 2025 Oct;34(5):e70061. doi: 10.1111/jsr.70061. Epub 2025 Apr 3.
Related Links
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EIT Health website referring to our SeizeIT2 project
Other Identifiers
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S63631
Identifier Type: -
Identifier Source: org_study_id
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