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Development of a Minimally Invasive Seizure Gauge

Not Applicable
Completed
Conditions
Epilepsy
Interventions
Device: EpiTel Epilog
Device: Empatica E4
Device: GENEActiv
Registration Number
NCT03882671
Lead Sponsor
Seer Medical Pty Ltd
Brief Summary

The researchers are trying to assess changes in physiological signals before and during seizures.

Detailed Description

Subjects that are undergoing video EEG monitoring in their home for their epilepsy at Seer Medical will be consented to participate in this study for a minimum of two days and/or the duration of their monitoring period for their clinical care. Subjects will be asked to wear up to 4 different commercially available seizure detection devices and complete surveys.

When the subjects clinical EEG monitoring is completed data scientists will analyze the data to identify patterns.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
40
Inclusion Criteria
  • Patients with epilepsy undergoing scalp EEG for clinical care, or an implanted device capable of monitoring brain activity and identifying seizures
  • Patients of age 18 or above
Exclusion Criteria
  • Cognitive or psychiatric condition rendering patient unable to cooperate with data collection, or manage and recharge smart watch and tablet computer devices.

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Monitoring DeviceEpiTel EpilogSubjects will be asked to wear up to 3 different noninvasive seizure detection devices including EpiTel EpiLog, Empatica E4, GeneActiv
Monitoring DeviceEmpatica E4Subjects will be asked to wear up to 3 different noninvasive seizure detection devices including EpiTel EpiLog, Empatica E4, GeneActiv
Monitoring DeviceGENEActivSubjects will be asked to wear up to 3 different noninvasive seizure detection devices including EpiTel EpiLog, Empatica E4, GeneActiv
Primary Outcome Measures
NameTimeMethod
Seizure Detection and Prediction using Multimodal Physiological Data2-7 days approximately

We will apply data mining and machine learning methods to identify patterns in the collected physiological signals and correlate these patterns with the timing of seizures identified by the patient's clinical video-EEG monitoring. We will use sensitivity and specificity measures to determine which signals are most useful in detecting and predicting seizure events.

Multimodal Assessment of Physiological Signals During Seizure Events Measurable with Wearable Sensors2-7 days approximately

We will collect physiological signals with the three wearable, noninvasive biosensors in Seer Medical patients undergoing scalp-recorded video EEG-ECG as part of their clinical epilepsy evaluation. These signals include temperature, light level, EEG, heart rate, galvanic skin response, PPG, accelerometry. We will evaluate biosignals based on reliability to detect seizures.

Wearable Sensors Comfort Assessment2-7 days approximately

We will collect physiological signals with the three wearable, noninvasive biosensors in Seer Medical patients. We will evaluate subject comfort and ease of use for each device, measured through quantitative surveys.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Seer Medical

🇦🇺

Melbourne, Victoria, Australia

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