Detection of Motor Seizures Using WBAN
- 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
- subject has seizures or symptoms of seizures
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Measurement of Motor Movements 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.
- Primary Outcome Measures
Name Time Method 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 Outcome Measures
Name Time Method 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
Trial Locations
- Locations (1)
Mini Thomas
🇨🇦Hamilton, Ontario, Canada