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Trial details imported from

For full trial details, please see the original record at

Registration number
Ethics application status
Date submitted
Date registered
Date last updated

Titles & IDs
Public title
Development of a Minimally Invasive Seizure Gauge
Scientific title
Development of a Minimally Invasive Seizure Gauge
Secondary ID [1] 0 0
Universal Trial Number (UTN)
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Epilepsy 0 0
Condition category
Condition code
Neurological 0 0 0 0
Neurological 0 0 0 0
Other neurological disorders

Study type
Description of intervention(s) / exposure
Treatment: Devices - EpiTel Epilog
Treatment: Devices - Empatica E4
Treatment: Devices - GENEActiv

Experimental: Monitoring Device - Subjects will be asked to wear up to 3 different noninvasive seizure detection devices including EpiTel EpiLog, Empatica E4, GeneActiv

Treatment: Devices: EpiTel Epilog
EEG recording device

Treatment: Devices: Empatica E4
PPG, sweat level, temperature and accelerometry recording device

Treatment: Devices: GENEActiv
Temperature, light level and accelerometry recording device

Intervention code [1] 0 0
Treatment: Devices
Comparator / control treatment
Control group

Primary outcome [1] 0 0
Multimodal Assessment of Physiological Signals During Seizure Events Measurable with Wearable Sensors - 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.
Timepoint [1] 0 0
2-7 days approximately
Primary outcome [2] 0 0
Wearable Sensors Comfort Assessment - 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.
Timepoint [2] 0 0
2-7 days approximately
Primary outcome [3] 0 0
Seizure Detection and Prediction using Multimodal Physiological Data - 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.
Timepoint [3] 0 0
2-7 days approximately

Key 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
Minimum age
18 Years
Maximum age
No limit
Both males and females
Can healthy volunteers participate?
Key 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
Purpose of the study
Basic Science
Allocation to intervention
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Masking / blinding
Open (masking not used)
Who is / are masked / blinded?

Intervention assignment
Single group
Other design features
Not Applicable
Type of endpoint(s)
Statistical methods / analysis

Recruitment status
Data analysis
Reason for early stopping/withdrawal
Other reasons
Date of first participant enrolment
Date of last participant enrolment
Date of last data collection
Sample size
Accrual to date
Recruitment in Australia
Recruitment state(s)
Recruitment hospital [1] 0 0
Seer Medical - Melbourne
Recruitment postcode(s) [1] 0 0
3000 - Melbourne

Funding & Sponsors
Primary sponsor type
Commercial sector/Industry
Seer Medical Pty Ltd

Ethics approval
Ethics application status

Brief summary
The researchers are trying to assess changes in physiological signals before and during
Trial website
Trial related presentations / publications
Public notes

Principal investigator
Name 0 0
Dean R Freestone, PhD BEng
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for public queries
Name 0 0
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for scientific queries

Summary results
For IPD and results data, please see