Detection of Motor Seizures Using WBAN

NCT03283748 — Not applicable, Completed, 5 participants, Mohawk College

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Detection of Motor Seizures Using Wireless Body Area Network

Registry	NCT03283748, acronym DMS-WBAN
Status	Completed
Phase	Not applicable
Study type	Interventional; na, single group, masking: none, diagnostic
Enrollment	5 (Actual)
Sponsor	Mohawk College (Other); collaborators: Hamilton Health Sciences Corporation, Toronto Metropolitan University
Conditions	Seizures, Tonic-Clonic
Interventions	Wearable sensors (Device)
Dates	start 2017-11-01, primary completion 2018-02-25, completion 2019-01-30, first posted 2017-09-14, last updated 2021-02-24
Locations	1 site in Canada

-Summary

This study aims to collect the motor movement data using sensors to detect Generalized Tonic Clonic Seizures . Wearable sensors similar to smart watches will be used to detect seizures. The proposed system will consist of 3-4 wearable wireless sensor worn on the hands and legs. The data from these sensors will be send to the clod and collected to a central hub for analysis and detection of GTC Seizures.

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+Detailed description

The key of the project is digital signal processing of the movement data collected. The medical application sensors from Analog Devices will be worn around the wrist and legs of the participants. These sensors will continuously collect the motor movement data. The data will be send to the cloud from where it will be collected at a central hub for digital signal processing and detection. The data analysis results will be compared with the standard EEG results for Tonic Clonic seizures and results will be verified.

+Arms and interventions

Arm	Type	Interventions	Description
Measurement of Motor Movements	Experimental	Device: Wearable sensors	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 (Device): Wearable sensors will be given to the participants to be worn and movement data will be collected

+Outcome measures

Primary outcomes

Measurement of Acceleration [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

Secondary outcomes

Digital Signal processing of the data [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

+Eligibility

Sex: All, ages: 18 Years to any, accepts healthy volunteers

Inclusion Criteria:

* subject has seizures or symptoms of seizures

Exclusion Criteria:

+Locations (1)

Facility	City	Country	Status
Mini Thomas	Hamilton, Ontario	Canada

+Investigators

Mini Thomas, M.Eng., Principal investigator, Mohawk College