Detection of Motor Seizures Using WBAN

NCT03283748 | Completed DMC

• 1 other identifier: 3596
• Study Type: interventional
• Target: 5
• Locations: 1 country
• Sites: 1

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.

Conditions

Seizures, Tonic-Clonic

Outcome Measures

Primary Outcomes (1)

• 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

  3 months

Secondary Outcomes (1)

• Digital Signal processing of the data

  3 months

Study Arms (1)

Measurement of Motor Movements

EXPERIMENTAL

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.

Device: Wearable sensors

Interventions

Wearable sensors DEVICE

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

Measurement of Motor Movements

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• subject has seizures or symptoms of seizures

Sponsors & Collaborators

• Mohawk College: lead
• Hamilton Health Sciences Corporation: collaborator
• Toronto Metropolitan University: collaborator

Study Sites (1)

Mini Thomas

Hamilton, Ontario, L9C 0E5, Canada

Location

Related Links

• Non-EEG based ambulatory seizure detection designed for home use: What is available and how will it influence epilepsy care?
• Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: A prospective, multicenter study
• Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings
• Safe and sound? A systematic literature review of seizure detection methods for personal useSafe and sound? A systematic literature review of seizure detection methods for personal use

MeSH Terms

Conditions

Seizures

Condition Hierarchy (Ancestors)

Neurologic Manifestations; Nervous System Diseases; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Officials

• Mini Thomas, M.Eng.

  Mohawk College

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: DIAGNOSTIC
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 8, 2017
• First Posted: September 14, 2017
• Study Start: November 1, 2017
• Primary Completion: February 25, 2018
• Study Completion: January 30, 2019
• Last Updated: February 24, 2021

Record last verified: 2018-03

Locations

CA (1)