Literature DB >> 21450533

Detection of seizure-like movements using a wrist accelerometer.

Juliana Lockman1, Robert S Fisher, Donald M Olson.   

Abstract

Caregivers of people with epilepsy are commonly concerned about unwitnessed seizures causing injury and even death. The goal of this study was to determine if a wrist-worn motion detector could detect tonic-clonic seizures. Individuals admitted for continuous video/EEG monitoring wore a wristwatch-size device that was programmed to detect rhythmic movements such as those that occur during tonic-clonic seizures. When such movement was detected, the device sent a Bluetooth signal to a computer that registered the time and duration of the movements. Recorded detections were compared with the routinely recorded video/EEG data. Six of 40 patients had a total of eight tonic-clonic seizures. Seven of the eight seizures were detected. Nonseizure movements were detected 204 times, with opportunity for canceling transmission by the patient. Only one false detection occurred during sleep. In principle, this device should allow caregivers of people with tonic-clonic seizures to be alerted when a seizure occurs.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21450533     DOI: 10.1016/j.yebeh.2011.01.019

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  27 in total

Review 1.  Seizure detection: do current devices work? And when can they be useful?

Authors:  Xiuhe Zhao; Samden D Lhatoo
Journal:  Curr Neurol Neurosci Rep       Date:  2018-05-23       Impact factor: 5.081

2.  Feature selection methods for accelerometry-based seizure detection in children.

Authors:  Milica Milošević; Anouk Van de Vel; Kris Cuppens; Bert Bonroy; Berten Ceulemans; Lieven Lagae; Bart Vanrumste; Sabine Van Huffel
Journal:  Med Biol Eng Comput       Date:  2016-04-22       Impact factor: 2.602

3.  Using Mobile Tracking Technology to Visualize the Trajectory of Recovery After Hip Arthroscopy: a Case Report.

Authors:  Nabil Mehta; Claire Steiner; Kara G Fields; Danyal H Nawabi; Stephen L Lyman
Journal:  HSS J       Date:  2017-04-17

Review 4.  Future of seizure prediction and intervention: closing the loop.

Authors:  Vivek Nagaraj; Steven T Lee; Esther Krook-Magnuson; Ivan Soltesz; Pascal Benquet; Pedro P Irazoqui; Theoden I Netoff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

Review 5.  Therapeutic devices for epilepsy.

Authors:  Robert S Fisher
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

Review 6.  Reducing the Risk of Sudden Unexpected Death in Epilepsy (SUDEP).

Authors:  Lance Watkins; Rohit Shankar
Journal:  Curr Treat Options Neurol       Date:  2018-08-22       Impact factor: 3.598

7.  A SURVEY OF SMARTWATCHES IN REMOTE HEALTH MONITORING.

Authors:  Christine E King; Majid Sarrafzadeh
Journal:  J Healthc Inform Res       Date:  2017-12-18

Review 8.  Autonomic aspects of sudden unexpected death in epilepsy (SUDEP).

Authors:  Niravkumar Barot; Maromi Nei
Journal:  Clin Auton Res       Date:  2018-11-19       Impact factor: 4.435

9.  Common data elements for epilepsy mobile health systems.

Authors:  Daniel M Goldenholz; Robert Moss; David A Jost; Nathan E Crone; Gregory Krauss; Rosalind Picard; Chiara Caborni; Jose E Cavazos; John Hixson; Tobias Loddenkemper; Tracy Dixon Salazar; Laura Lubbers; Lauren C Harte-Hargrove; Vicky Whittemore; Jonas Duun-Henriksen; Eric Dolan; Nitish Kasturia; Mark Oberemk; Mark J Cook; Mark Lehmkuhle; Michael R Sperling; Patricia O Shafer
Journal:  Epilepsia       Date:  2018-03-31       Impact factor: 5.864

Review 10.  Let's talk SUDEP.

Authors:  Ayşe Deniz Elmali; Nerses Bebek; Betül Baykan
Journal:  Noro Psikiyatr Ars       Date:  2019-09-05       Impact factor: 1.339

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