Detection of Motor Seizures Using WBAN (DMS-WBAN)
Detection of Motor Seizures Using Wireless Body Area Network
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Ontario
-
Hamilton, Ontario, Canada, L9C 0E5
- Mini Thomas
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- subject has seizures or symptoms of seizures
Exclusion Criteria:
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Measurement of Motor Movements
Wearable Accelerometer Sensors manufactured by leading manufacturers will be given to the participants to be worn around hands and legs.
These sensors will be used to measure accelerations which will be impacted by the motor movements.
|
Wearable sensors will be given to the participants to be worn and movement data will be collected
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Measurement of Acceleration
Time Frame: 3 months
|
Motor movements will cause changes in acceleration.
Accelerometer sensors will be used to measure the acceleration as a first step towards detection of Tonic Clonic Seizures
|
3 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Digital Signal processing of the data
Time Frame: 3 months
|
The raw acceleration data collected will be processed in a computer with MATLAB software using Digital Signal processing techniques.
These techniques will help identify the data and differentiate the seizure movements from normal movements thereby helping to detect seizures data
|
3 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Mini Thomas, M.Eng., Mohawk College
Publications and helpful links
Helpful Links
- Non-EEG based ambulatory seizure detection designed for home use: What is available and how will it influence epilepsy care?
- Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings
- Safe and sound? A systematic literature review of seizure detection methods for personal useSafe and sound? A systematic literature review of seizure detection methods for personal use
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 3596
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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