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Clinical Scenarios for Long-term Monitoring of Epileptic Seizures With a Wearable Biopotential Technology

A Multicenter Study to Examine Clinical Scenarios for Long-term Monitoring of Epileptic Seizures With a Wearable Biopotential Technology

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04284072
Acronym
SeizeIT2
Enrollment
496
Registered
2020-02-25
Start date
2020-06-22
Completion date
2022-06-30
Last updated
2022-11-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Epilepsy

Keywords

Seizure detection, Wearable, Epilepsy, Seizure, Sensor Dot

Brief summary

Clinically validate a biopotential and motion recording wearable device (Byteflies Sensor Dot) for detection of epileptic seizures in the epilepsy monitoring unit (EMU) and at home.

Detailed description

Subjects with refractory epilepsy who are admitted to the Epilepsy Monitoring Unit (EMU) for clinically-indicated long-term video-EEG assessment will be simultaneously monitored with Sensor Dots to record electroencephalographic (EEG), electrocardiographic (ECG), electromyographic (EMG), and motion signals. 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.

Interventions

DEVICESensor 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).

Sponsors

Freiburg University
CollaboratorUNKNOWN
King's College London
CollaboratorOTHER
Oxford University Hospitals NHS Trust
CollaboratorOTHER
University of Coimbra
CollaboratorOTHER
Karolinska Institutet
CollaboratorOTHER
RWTH Aachen University
CollaboratorOTHER
UCB Pharma
CollaboratorINDUSTRY
Byteflies
CollaboratorINDUSTRY
Helpilepsy
CollaboratorUNKNOWN
Universitaire Ziekenhuizen KU Leuven
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SEQUENTIAL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
4 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Subjects (4+ years old) with refractory epilepsy who are admitted to the hospital for clinically-indicated long-term video-EEG assessment or presurgical evaluation, and a high likelihood of experiencing seizures during the EMU Phase * 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

* Known allergies to any of the biopotential electrodes or adhesives used as part of the study protocol * 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

Design outcomes

Primary

MeasureTime frameDescription
Comparison of tonic-clonic seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during sleepup to two weeksF1-score as determined by expert reviewers
Comparison of typical absence seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during wakefulnessup to two weeksF1-score as determined by expert reviewers
Comparison of typical absence seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during sleepup to two weeksF1-score as determined by expert reviewers
Comparison of focal impaired awareness seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during wakefulnessup to two weeksF1-score as determined by expert reviewers
Comparison of focal impaired awareness seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during sleepup to two weeksF1-score as determined by expert reviewers
Comparison of tonic-clonic seizure annotations derived from Sensor Dot data collected during the EMU Phase against annotations derived from video-EEG equipment during wakefulnessup to two weeksF1-score as determined by expert reviewers

Secondary

MeasureTime frameDescription
Sensor Dot usabilityup to two weeksWe will assess the usability of the device as perceived by users (patients and healthcare personnel) via surveys
To assess seizure durationup to two weeksFrom the Sensor Dot data, we will be able to assess seizure duration
To assess the usability of the seizure e-diaryup to two weeksWe will asses usability of the electronic seizure diary
To evaluate the accuracy of automated seizure detection algorithms2 yearsWe will use the collected data and seizure annotations to develop algorithms to automatically detect epileptic seizures. We plan to evaluate how accurate these new automated seizure detection algorithms are.
Comparison of seizure annotations derived from Sensor Dot data collected during the Home Phase against seizure diary annotationsup to 2 weeksAccuracy as determined by expert reviewers
Sensor Dot Performanceup to 2 weeksWe will assess the technical performance of the device by comparing the actual length of recorded data against the expected recording length, and what percentage of the data is high quality enough to make seizure annotations.

Countries

Belgium, Germany, Portugal, Sweden, United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026