Detection of Motor Seizures Using WBAN (DMS-WBAN)

Mohawk College

Status: Completed

Conditions: Seizures, Tonic-Clonic

Treatments: Device: Wearable sensors

Study type: Interventional

Funder types: Other

Identifiers

NCT03283748

3596

Details and patient eligibility

About

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.

Full 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.

Enrollment: 5 patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• subject has seizures or symptoms of seizures

Exclusion Criteria:

Trial design

Primary purpose: Diagnostic

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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5 participants in 1 patient group

Measurement of Motor Movements

Experimental group

Description:

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.

Treatment:

Device: Wearable sensors