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Completed

NCT Number: NCT03283748

Detection of Motor Seizures Using WBAN

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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Key information

Conditions

Seizures, Tonic-Clonic Nervous System Diseases Neurologic Manifestations Pathological Conditions, Signs and Symptoms Seizures Signs and Symptoms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Mini Thomas

Hamilton, Ontario, L9C 0E5, Canada

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • subject has seizures or symptoms of seizures

Exclusion criteria

Treatment and study plan

Wearable sensors

Device

Wearable sensors will be given to the participants to be worn and movement data will be collected

Primary outcomes

  1. Measurement of Acceleration

    Time frame: 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

  1. Digital Signal processing of the data

    Time frame: 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

Sponsors and collaborators

Lead sponsor

Mohawk College

Other

Collaborators

  • Hamilton Health Sciences Corporation
  • Toronto Metropolitan University

Registry information

Official study title

Detection of Motor Seizures Using Wireless Body Area Network

Acronym: DMS-WBAN

Important dates

Study start
2017
Primary completion
2018
Study completion
2019
First posted
Sep 14, 2017
Registry last updated
Feb 24, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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