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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WITHDRAWN
NA
INTERVENTIONAL
2023-01-23
2023-12-31
Brief Summary
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The study aims to 1) collect benchmark data for seizure detection algorithm development and validation, and 2) evaluate the performance of the device in clinical and at home workflows.
Participants will wear the device during a routine Epilepsy Monitoring Unit (EMU) admission. Additionally, they can continue wearing the device at home after the EMU admission.
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Detailed Description
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EpiCare@Home is a multimodal device that can continuously record EEG with unobtrusive behind-the-ear electrodes, in addition to cardiorespiratory and physical motion data. The device is intended to be used by a trained healthcare professional (HCP) as a clinical decision support tool during the management of people with epilepsy.
The clinical trial aims to analytically validate the performance of the seizure detection component of the device, specifically for focal onset seizures. In addition, it intends to clinically validate the ability of the device to support clinical workflows, from the perspective of healthcare professional and patient users alike.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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EpiCare@Home
Patients with a history or suspicion of focal onset epilepsy admitted to the EMU for routine observation will be able to opt-in to using EpiCare@Home during their admission. Optionally, they will be able to continue using the device at home after EMU discharge.
EpiCare@Home, wearable multimodal seizure monitoring system
Two wearable devices (Byteflies Sensor Dots) will be used. One Sensor Dot will be placed in the neck with a skin adhesive and will be connected to EEG electrodes placed behind each ear. The second Sensor Dot will be placed on the chest with an adhesive ECG electrode (i.e., a cardiac "patch").
Interventions
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EpiCare@Home, wearable multimodal seizure monitoring system
Two wearable devices (Byteflies Sensor Dots) will be used. One Sensor Dot will be placed in the neck with a skin adhesive and will be connected to EEG electrodes placed behind each ear. The second Sensor Dot will be placed on the chest with an adhesive ECG electrode (i.e., a cardiac "patch").
Eligibility Criteria
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Inclusion Criteria
* A clinical indication for ≥ 1 h EMU observation.
* Participants should be able to maintain a seizure diary in the provided EpiCare@Home Patient App (themselves or via a caregiver). Alternatively, the use of a paper seizure diary is allowed.
Exclusion Criteria
* Known allergy or skin-sensitivity to the materials used in the Byteflies Adhesives or any 3rd party biopotential electrode.
* Having an implanted device may be grounds for exclusion, depending on the type and location of the implant. Implanted devices, such as (but not limited to) pacemakers, cardioverter defibrillators (ICD), and/or neural stimulation devices may contain magnetic switches. Byteflies Sensor Dots contain magnets that may interfere with the operation of these devices. The chance of this happening based on the strength of the magnets is exceedingly low (for comparison, the magnet strength is 10x lower than what is found in Apple Magsafe cases) but it has not been excluded by formal testing either. The risk will be evaluated on a case-by-case basis.
* Any other condition or finding that would compromise the safety of the participant or the quality of the study data, or otherwise interfere with achieving the study objectives, as determined by the investigator or research coordinator.
12 Years
ALL
No
Sponsors
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Thomas Jefferson University
OTHER
Byteflies
INDUSTRY
Responsible Party
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Principal Investigators
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Benjamin Vandendriessche, PhD
Role: PRINCIPAL_INVESTIGATOR
Byteflies
Locations
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Thomas Jefferson University
Philadelphia, Pennsylvania, United States
Countries
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References
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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.
Vandecasteele K, De Cooman T, Dan J, Cleeren E, Van Huffel S, Hunyadi B, Van Paesschen W. Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels. Epilepsia. 2020 Apr;61(4):766-775. doi: 10.1111/epi.16470. Epub 2020 Mar 11.
Boada CM, French JA, Dumanis SB. Proceedings of the 15th Antiepileptic Drug and Device Trials Meeting: State of the Science. Epilepsy Behav. 2020 Oct;111:107189. doi: 10.1016/j.yebeh.2020.107189. Epub 2020 Jun 17.
Vandecasteele K, De Cooman T, Chatzichristos C, Cleeren E, Swinnen L, Macea Ortiz J, Van Huffel S, Dumpelmann M, Schulze-Bonhage A, De Vos M, Van Paesschen W, Hunyadi B. The power of ECG in multimodal patient-specific seizure monitoring: Added value to an EEG-based detector using limited channels. Epilepsia. 2021 Oct;62(10):2333-2343. doi: 10.1111/epi.16990. Epub 2021 Jul 9.
Swinnen L, Chatzichristos C, Jansen K, Lagae L, Depondt C, Seynaeve L, Vancaester E, Van Dycke A, Macea J, Vandecasteele K, Broux V, De Vos M, Van Paesschen W. Accurate detection of typical absence seizures in adults and children using a two-channel electroencephalographic wearable behind the ears. Epilepsia. 2021 Nov;62(11):2741-2752. doi: 10.1111/epi.17061. Epub 2021 Sep 7.
Other Identifiers
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BF0002
Identifier Type: -
Identifier Source: org_study_id
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