MedPath

Detection of Motor Seizures Using WBAN

Not Applicable
Completed
Conditions
Seizures, Tonic-Clonic
Interventions
Device: Wearable sensors
Registration Number
NCT03283748
Lead Sponsor
Mohawk College
Brief 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.

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.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
5
Inclusion Criteria
  • subject has seizures or symptoms of seizures
Exclusion Criteria

Not provided

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Measurement of Motor MovementsWearable sensorsWearable 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.
Primary Outcome Measures
NameTimeMethod
Measurement of Acceleration3 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 Outcome Measures
NameTimeMethod
Digital Signal processing of the data3 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

Trial Locations

Locations (1)

Mini Thomas

🇨🇦

Hamilton, Ontario, Canada

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