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January 30, 2018; 90 (5) ArticleOpen Access

Automated real-time detection of tonic-clonic seizures using a wearable EMG device

Sándor Beniczky, Isa Conradsen, Oliver Henning, Martin Fabricius, Peter Wolf
First published January 5, 2018, DOI: https://doi.org/10.1212/WNL.0000000000004893
Sándor Beniczky
From the Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre Dianalund and Aarhus University Hospital; FORCE Technology (I.C.), Hørsholm, Denmark; Department of Clinical Neurophysiology (O.H.), National Centre for Epilepsy, Oslo University Hospital, Norway; Department of Clinical Neurophysiology (M.F.), Copenhagen University Hospital Rigshospitalet; Department of Neurology (P.W.), Danish Epilepsy Centre, Dianalund, Denmark; and Postgraduate Programme in Clinical Medicine (P.W.), Federal University of Santa Catarina, Florianópolis, Brazil.
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Isa Conradsen
From the Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre Dianalund and Aarhus University Hospital; FORCE Technology (I.C.), Hørsholm, Denmark; Department of Clinical Neurophysiology (O.H.), National Centre for Epilepsy, Oslo University Hospital, Norway; Department of Clinical Neurophysiology (M.F.), Copenhagen University Hospital Rigshospitalet; Department of Neurology (P.W.), Danish Epilepsy Centre, Dianalund, Denmark; and Postgraduate Programme in Clinical Medicine (P.W.), Federal University of Santa Catarina, Florianópolis, Brazil.
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Oliver Henning
From the Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre Dianalund and Aarhus University Hospital; FORCE Technology (I.C.), Hørsholm, Denmark; Department of Clinical Neurophysiology (O.H.), National Centre for Epilepsy, Oslo University Hospital, Norway; Department of Clinical Neurophysiology (M.F.), Copenhagen University Hospital Rigshospitalet; Department of Neurology (P.W.), Danish Epilepsy Centre, Dianalund, Denmark; and Postgraduate Programme in Clinical Medicine (P.W.), Federal University of Santa Catarina, Florianópolis, Brazil.
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Martin Fabricius
From the Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre Dianalund and Aarhus University Hospital; FORCE Technology (I.C.), Hørsholm, Denmark; Department of Clinical Neurophysiology (O.H.), National Centre for Epilepsy, Oslo University Hospital, Norway; Department of Clinical Neurophysiology (M.F.), Copenhagen University Hospital Rigshospitalet; Department of Neurology (P.W.), Danish Epilepsy Centre, Dianalund, Denmark; and Postgraduate Programme in Clinical Medicine (P.W.), Federal University of Santa Catarina, Florianópolis, Brazil.
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Peter Wolf
From the Department of Clinical Neurophysiology (S.B.), Danish Epilepsy Centre Dianalund and Aarhus University Hospital; FORCE Technology (I.C.), Hørsholm, Denmark; Department of Clinical Neurophysiology (O.H.), National Centre for Epilepsy, Oslo University Hospital, Norway; Department of Clinical Neurophysiology (M.F.), Copenhagen University Hospital Rigshospitalet; Department of Neurology (P.W.), Danish Epilepsy Centre, Dianalund, Denmark; and Postgraduate Programme in Clinical Medicine (P.W.), Federal University of Santa Catarina, Florianópolis, Brazil.
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Citation
Automated real-time detection of tonic-clonic seizures using a wearable EMG device
Sándor Beniczky, Isa Conradsen, Oliver Henning, Martin Fabricius, Peter Wolf
Neurology Jan 2018, 90 (5) e428-e434; DOI: 10.1212/WNL.0000000000004893

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    Figure 1 Wearable seizure detection device (Epileptic seizure Detector Developed by IctalCare)

    (A) The wearable device placed on the brachial biceps muscles. (B, C) The wearable device, which is connected to the self-adhesive patch, containing the recording electrodes and the ground electrode. (D) Remote control of the device.

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    Figure 2 EMG-based seizure detection algorithm

    (A) The EMG signals recorded by Epileptic seizure Detector Developed by IctalCare (EDDI) during a generalized tonic-clonic seizure (high-pass filter: 150 Hz). (B) The number of zero-crossings calculated from the signal in (A). The horizontal axis in both (A) and (B) is the time (in seconds). When the number of zero-crossings exceeds the threshold (dotted horizontal line) for the prespecified time window (yellow line), then the seizure alarm is triggered (red vertical arrow).

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    Figure 3 Standards for Reporting of Diagnostic Accuracy flowchart of the study

    DBS = deep brain stimulation; EDDI = Epileptic seizure Detector Developed by IctalCare; GTCS = generalized tonic-clonic seizure.

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    Neurology® data supplements are not copyedited before publication. Published editorials and translations have been copyedited.
    © 2018 American Academy of Neurology.

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    Neurology® data supplements are not copyedited before publication. Published editorials and translations have been copyedited.
    © 2019 American Academy of Neurology.

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