NCT05738226

Brief Summary

The goal of this clinical trial is to validate a wearable seizure monitoring device, EpiCare@Home, as an objective seizure monitoring tool for people with focal onset epileptic seizures. The device continuously records brain, cardiorespiratory, and physical activity data. 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.

Trial Health

30
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Timeline
Completed

Started Jan 2023

Geographic Reach
1 country

1 active site

Status
withdrawn

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 23, 2023

Completed
9 days until next milestone

First Submitted

Initial submission to the registry

February 1, 2023

Completed
21 days until next milestone

First Posted

Study publicly available on registry

February 22, 2023

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

September 8, 2025

Status Verified

September 1, 2025

Enrollment Period

11 months

First QC Date

February 1, 2023

Last Update Submit

September 1, 2025

Conditions

Keywords

Wearable deviceSeizure monitoringDiagnostic supportEpiCare@HomeClinical Decision Support (CDS)

Outcome Measures

Primary Outcomes (3)

  • Sensitivity of algorithmic detection of potential epileptic events on EpiCare@Home data as compared to video-EEG ground truth annotations.

    Analytical validation of the algorithmic processing will be conducted by calculating the sensitivity (recall) of potential epileptic events and comparing it to ground truth annotations. The sensitivity is expected to be 65% or higher.

    From EMU admission to discharge, up to 10 days

  • Sensitivity of algorithmic detection of potential epileptic events on a subset of temporal lobe epilepsy EpiCare@Home study participants as compared to video-EEG ground truth annotations.

    Analytical validation of the algorithmic processing will be conducted by calculating the sensitivity (recall) of potential epileptic events and comparing it to ground truth annotations. The sensitivity is expected to be 85% or higher.

    From EMU admission to discharge, up to 10 days

  • Specificity of the classification of potential epileptic events as seizures by two independent trained reviewers as compared to video-EEG ground truth annotations.

    Clinical validation of the ability of trained reviewers to identify "real" seizures will be conducted by calculating the specificity of reviewed events and comparing it to ground truth annotations. The specificity is expected to be 95% or higher.

    From EMU admission to discharge, up to 10 days

Secondary Outcomes (4)

  • Compare the seizure duration as measured by EpiCare@Home to video-EEG ground truth annotations.

    From EMU admission to discharge, up to 10 days

  • Sensitivity and specificity of the potential epileptic events as detected by EpiCare@Home, compared to events recorded in a seizure diary.

    From EMU discharge until the end of the home use period, for up to 14 days

  • Post-analysis of the sensitivity of detection of potential epileptic events on subsets of data categorized based on seizure origin.

    From EMU admission to discharge, up to 10 days

  • Interrater reliability (IRR) of the trained reviewers.

    From EMU admission to discharge, up to 10 days

Other Outcomes (2)

  • Evaluate device performance by comparing the total length of recorded usable data with EpiCare@Home to video-EEG or the expected recording time at home.

    From EMU admission to discharge, up to 10 days with an optional home use period of up to 14 days

  • Assess the usability of the device via user surveys for healthcare professionals and patients.

    From EMU admission to discharge, up to 10 days with an optional home use period of up to 14 days

Study Arms (1)

EpiCare@Home

EXPERIMENTAL

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.

Device: EpiCare@Home, wearable multimodal seizure monitoring system

Interventions

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").

EpiCare@Home

Eligibility Criteria

Age12 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Adult (age ≥ 18) and adolescent (12 ≤ age \< 18) patients with a known history or suspicion of focal onset epilepsy, including focal-to-bilateral tonic-clonic seizures
  • 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.

You may not qualify if:

  • Inability to provide written informed consent, either direct or via a proxy.
  • Known allergy or skin-sensitivity to the materials used in the Byteflies Adhesives or any 3rd party biopotential electrode.
  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Thomas Jefferson University

Philadelphia, Pennsylvania, 19107, United States

Location

Related Publications (5)

  • 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.

    PMID: 29295522BACKGROUND
  • 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.

    PMID: 32160324BACKGROUND
  • 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.

    PMID: 32563052BACKGROUND
  • 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.

    PMID: 34240748BACKGROUND
  • 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.

    PMID: 34490891BACKGROUND

MeSH Terms

Conditions

EpilepsySeizures

Condition Hierarchy (Ancestors)

Brain DiseasesCentral Nervous System DiseasesNervous System DiseasesNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Benjamin Vandendriessche, PhD

    Byteflies

    PRINCIPAL INVESTIGATOR
0

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 1, 2023

First Posted

February 22, 2023

Study Start

January 23, 2023

Primary Completion

December 31, 2023

Study Completion

December 31, 2023

Last Updated

September 8, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will not share

Locations