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      Ultra‐long‐term subcutaneous home monitoring of epilepsy—490 days of EEG from nine patients

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          Abstract

          Objective

          To explore the feasibility of home monitoring of epilepsy patients with a novel subcutaneous electroencephalography (EEG) device, including clinical implications, safety, and compliance via the first real‐life test.

          Methods

          We implanted a beta‐version of the 24/7 EEG SubQ ( UNEEG Medical A/S, Denmark) subcutaneously in nine participants with temporal lobe epilepsy. Data on seizures, adverse events, compliance in using the device, and use of antiepileptic drugs ( AEDs) were collected. EEG was recorded for up to 3 months, and all EEG data were reviewed visually to identify electrographic seizures. These were descriptively compared to seizure counts and AED changes reported in diaries from the same period.

          Results

          Four hundred ninety days of EEG and 338 electrographic seizures were collected. Eight participants completed at least 9 weeks of home monitoring, while one cancelled participation after 4 weeks due to postimplantation soreness. In total, 13 cases of device‐related adverse events were registered, none of them serious. Recordings obtained from the device covered 73% of the time, on average (range 45%‐91%). Descriptively, electrographic seizure counts were substantially different from diary seizure counts. We uncovered several cases of underreporting and revealed important information on AED response. Electrographic seizure counts revealed circadian distributions of seizures not visible from seizure diaries.

          Significance

          The study shows that home monitoring for up to 3 months with a subcutaneous EEG device is feasible and well tolerated. No serious adverse device‐related events were reported. An objective seizure count can be derived, which often differs substantially from self‐reported seizure counts. Larger clinical trials quantifying the benefits of objective seizure counting should be a priority for future research as well as development of algorithms for automated review of data.

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          Most cited references33

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          Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study.

          Seizure prediction would be clinically useful in patients with epilepsy and could improve safety, increase independence, and allow acute treatment. We did a multicentre clinical feasibility study to assess the safety and efficacy of a long-term implanted seizure advisory system designed to predict seizure likelihood and quantify seizures in adults with drug-resistant focal seizures. We enrolled patients at three centres in Melbourne, Australia, between March 24, 2010, and June 21, 2011. Eligible patients had between two and 12 disabling partial-onset seizures per month, a lateralised epileptogenic zone, and no history of psychogenic seizures. After devices were surgically implanted, patients entered a data collection phase, during which an algorithm for identification of periods of high, moderate, and low seizure likelihood was established. If the algorithm met performance criteria (ie, sensitivity of high-likelihood warnings greater than 65% and performance better than expected through chance prediction of randomly occurring events), patients then entered an advisory phase and received information about seizure likelihood. The primary endpoint was the number of device-related adverse events at 4 months after implantation. Our secondary endpoints were algorithm performance at the end of the data collection phase, clinical effectiveness (measures of anxiety, depression, seizure severity, and quality of life) 4 months after initiation of the advisory phase, and longer-term adverse events. This trial is registered with ClinicalTrials.gov, number NCT01043406. We implanted 15 patients with the advisory system. 11 device-related adverse events were noted within four months of implantation, two of which were serious (device migration, seroma); an additional two serious adverse events occurred during the first year after implantation (device-related infection, device site reaction), but were resolved without further complication. The device met enabling criteria in 11 patients upon completion of the data collection phase, with high likelihood performance estimate sensitivities ranging from 65% to 100%. Three patients' algorithms did not meet performance criteria and one patient required device removal because of an adverse event before sufficient training data were acquired. We detected no significant changes in clinical effectiveness measures between baseline and 4 months after implantation. This study showed that intracranial electroencephalographic monitoring is feasible in ambulatory patients with drug-resistant epilepsy. If these findings are replicated in larger, longer studies, accurate definition of preictal electrical activity might improve understanding of seizure generation and eventually lead to new management strategies. NeuroVista. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Epilepsy: accuracy of patient seizure counts.

            To evaluate the effects of a daily patient reminder on seizure documentation accuracy. Randomized controlled trial. Monitoring unit of an academic department of epileptology. Patients Consecutive sample of 91 adult inpatients with focal epilepsies undergoing video-electroencephalographic monitoring. Intervention While all patients were asked to document seizures at the beginning of the monitoring period, patients from the experimental group were reminded each day to document seizures. Main Outcome Measure Documentation accuracy (percentage of documented seizures). A total of 582 partial seizures were recorded. Patients failed to document 55.5% of all recorded seizures, 73.2% of complex partial seizures, 26.2% of simple partial seizures, 41.7% of secondarily generalized tonic-clonic seizures, 85.8% of all seizures during sleeping, and 32.0% of all seizures during the awake state. The group medians of individual documentation accuracies for overall seizures, simple partial seizures, complex partial seizures, and secondarily generalized tonic-clonic seizures were 33.3%, 66.7%, 0%, and 83.3%, respectively. Neither the patient reminder nor cognitive performance affected documentation accuracy. A left-sided electroencephalographic focus or lesion, but not the site (frontal or temporal), contributed to documentation failure. Patient seizure counts do not provide valid information. Documentation failures result from postictal seizure unawareness, which cannot be avoided by reminders. Unchanged documentation accuracy is a prerequisite for the use of patient seizure counts in clinical trials and has to be demonstrated in a subsample of patients undergoing electroencephalographic monitoring.
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              Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear

              This study presents first evidence that reliable EEG data can be recorded with a new cEEGrid electrode array, which consists of ten electrodes printed on flexible sheet and arranged in a c-shape to fit around the ear. Ten participants wore two cEEGrid systems for at least seven hours. Using a smartphone for stimulus delivery and signal acquisition, resting EEG and auditory oddball data were collected in the morning and in the afternoon six to seven hours apart. Analysis of resting EEG data confirmed well-known spectral differences between eyes open and eyes closed conditions. The ERP results confirmed the predicted condition effects with significantly larger P300 amplitudes for target compared to standard tones, and a high test-retest reliability of the P300 amplitude (r > = .74). Moreover, a linear classifier trained on data from the morning session revealed similar performance in classification accuracy for the morning and the afternoon sessions (both > 70%). These findings demonstrate the feasibility of concealed and comfortable brain activity acquisition over many hours.
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                Author and article information

                Contributors
                siggewe@gmail.com
                Journal
                Epilepsia
                Epilepsia
                10.1111/(ISSN)1528-1167
                EPI
                Epilepsia
                John Wiley and Sons Inc. (Hoboken )
                0013-9580
                1528-1167
                13 October 2019
                November 2019
                : 60
                : 11 ( doiID: 10.1111/epi.v60.11 )
                : 2204-2214
                Affiliations
                [ 1 ] Department of Neurology Zealand University Hospital Roskilde Denmark
                [ 2 ] Department of Clinical Medicine University of Copenhagen Copenhagen Denmark
                [ 3 ] UNEEG Medical A/S Lynge Denmark
                [ 4 ] Department of Basic and Clinical Neuroscience King's College London London UK
                [ 5 ] Department of Neurology Odense University Hospital Odense Denmark
                [ 6 ] Clinical Institute University of Southern Denmark Odense Denmark
                [ 7 ] Department of Neurosurgery Odense University Hospital Odense Denmark
                [ 8 ] Department of Applied Mathematics and Computer Science Technical University of Denmark Lyngby Denmark
                Author notes
                [*] [* ] Correspondence

                Sigge Weisdorf, Department of neurology, Center of Neurophysiology, Zealand University Hospital, Sygehusvej 10, 4000 Roskilde, Denmark.

                Email: siggewe@ 123456gmail.com

                Author information
                https://orcid.org/0000-0001-7288-1781
                https://orcid.org/0000-0002-2105-6199
                Article
                EPI16360
                10.1111/epi.16360
                6899579
                31608435
                74ee3026-317f-4507-b0dd-7236dce217ad
                © 2019 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of International League Against Epilepsy

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 04 July 2019
                : 11 September 2019
                : 11 September 2019
                Page count
                Figures: 4, Tables: 2, Pages: 11, Words: 6270
                Funding
                Funded by: The Health Research Foundation of Region Zealand and Region of Southern Denmark
                Funded by: Fonden til Lægevidenskabens Fremme , open-funder-registry 10.13039/501100006197;
                Funded by: UNEEG Medical A/S
                Funded by: Augustinus Fonden , open-funder-registry 10.13039/501100004954;
                Funded by: Lennart Grams Memorial Foundation
                Categories
                Full‐length Original Research
                Full‐length Original Research
                Custom metadata
                2.0
                November 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:05.12.2019

                Neurology
                eeg,epilepsy,home monitoring,long‐term monitoring,subcutaneous eeg
                Neurology
                eeg, epilepsy, home monitoring, long‐term monitoring, subcutaneous eeg

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