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.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
5
Wearable sensors will be given to the participants to be worn and movement data will be collected
Mini Thomas
Hamilton, Ontario, Canada
Measurement of Acceleration
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
Time frame: 3 months
Digital Signal processing of the data
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
Time frame: 3 months
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