Timing of first event in inpatient long-term video-EEG monitoring for diagnostic purposes
•LTM is a useful tool in diagnosis of unclear clinical paroxysmal events.•For diagnostic purposes, most events occur on the first two days of the recording.•No clinical variables were associated with time required to record a first event. Long-term video-EEG monitoring (LTM) aims to record the habit...
Saved in:
Published in | Epilepsy research Vol. 129; pp. 91 - 94 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.01.2017
|
Subjects | |
Online Access | Get full text |
ISSN | 0920-1211 1872-6844 1872-6844 |
DOI | 10.1016/j.eplepsyres.2016.12.007 |
Cover
Abstract | •LTM is a useful tool in diagnosis of unclear clinical paroxysmal events.•For diagnostic purposes, most events occur on the first two days of the recording.•No clinical variables were associated with time required to record a first event.
Long-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our epilepsy monitoring unit (EMU) setting, admissions are usually planned to last up to five days. We ascertained time taken for the recording of a first event and determined correlations between different clinical characteristics and timings.
We retrospectively reviewed diagnostic and classification LTM recording performed at a tertiary epilepsy centre.
Sixty-three recordings were reviewed. Most subjects (89%) had events at least once a week prior to admission. In 40 (63%) a habitual event was recorded, mostly (93%) within the first two days. No events were recorded on day four or five. A few characteristics were associated with a trend for events occurring earlier (events more than once a week vs less than once a week, motor symptoms compared with aura or dyscognitive events, and reduction of antiepileptic drugs versus no reduction).
Our finding suggests that, for diagnostic event recording in people with epilepsy or PNEA, a maximum recording time of three days is sufficient in two thirds of them, if event frequency is at least once a week. In the remaining third, prolonged recording up to five days did not result in capturing a clinical event. For these individuals, shorter admission could be planned, for example for 2days rather than 5days. |
---|---|
AbstractList | Long-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our epilepsy monitoring unit (EMU) setting, admissions are usually planned to last up to five days. We ascertained time taken for the recording of a first event and determined correlations between different clinical characteristics and timings.BACKGROUNDLong-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our epilepsy monitoring unit (EMU) setting, admissions are usually planned to last up to five days. We ascertained time taken for the recording of a first event and determined correlations between different clinical characteristics and timings.We retrospectively reviewed diagnostic and classification LTM recording performed at a tertiary epilepsy centre.METHODSWe retrospectively reviewed diagnostic and classification LTM recording performed at a tertiary epilepsy centre.Sixty-three recordings were reviewed. Most subjects (89%) had events at least once a week prior to admission. In 40 (63%) a habitual event was recorded, mostly (93%) within the first two days. No events were recorded on day four or five. A few characteristics were associated with a trend for events occurring earlier (events more than once a week vs less than once a week, motor symptoms compared with aura or dyscognitive events, and reduction of antiepileptic drugs versus no reduction).RESULTSSixty-three recordings were reviewed. Most subjects (89%) had events at least once a week prior to admission. In 40 (63%) a habitual event was recorded, mostly (93%) within the first two days. No events were recorded on day four or five. A few characteristics were associated with a trend for events occurring earlier (events more than once a week vs less than once a week, motor symptoms compared with aura or dyscognitive events, and reduction of antiepileptic drugs versus no reduction).Our finding suggests that, for diagnostic event recording in people with epilepsy or PNEA, a maximum recording time of three days is sufficient in two thirds of them, if event frequency is at least once a week. In the remaining third, prolonged recording up to five days did not result in capturing a clinical event. For these individuals, shorter admission could be planned, for example for 2days rather than 5days.CONCLUSIONSOur finding suggests that, for diagnostic event recording in people with epilepsy or PNEA, a maximum recording time of three days is sufficient in two thirds of them, if event frequency is at least once a week. In the remaining third, prolonged recording up to five days did not result in capturing a clinical event. For these individuals, shorter admission could be planned, for example for 2days rather than 5days. Highlights • LTM is a useful tool in diagnosis of unclear clinical paroxysmal events. • For diagnostic purposes, most events occur on the first two days of the recording. • No clinical variables were associated with time required to record a first event. •LTM is a useful tool in diagnosis of unclear clinical paroxysmal events.•For diagnostic purposes, most events occur on the first two days of the recording.•No clinical variables were associated with time required to record a first event. Long-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our epilepsy monitoring unit (EMU) setting, admissions are usually planned to last up to five days. We ascertained time taken for the recording of a first event and determined correlations between different clinical characteristics and timings. We retrospectively reviewed diagnostic and classification LTM recording performed at a tertiary epilepsy centre. Sixty-three recordings were reviewed. Most subjects (89%) had events at least once a week prior to admission. In 40 (63%) a habitual event was recorded, mostly (93%) within the first two days. No events were recorded on day four or five. A few characteristics were associated with a trend for events occurring earlier (events more than once a week vs less than once a week, motor symptoms compared with aura or dyscognitive events, and reduction of antiepileptic drugs versus no reduction). Our finding suggests that, for diagnostic event recording in people with epilepsy or PNEA, a maximum recording time of three days is sufficient in two thirds of them, if event frequency is at least once a week. In the remaining third, prolonged recording up to five days did not result in capturing a clinical event. For these individuals, shorter admission could be planned, for example for 2days rather than 5days. Long-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our epilepsy monitoring unit (EMU) setting, admissions are usually planned to last up to five days. We ascertained time taken for the recording of a first event and determined correlations between different clinical characteristics and timings. We retrospectively reviewed diagnostic and classification LTM recording performed at a tertiary epilepsy centre. Sixty-three recordings were reviewed. Most subjects (89%) had events at least once a week prior to admission. In 40 (63%) a habitual event was recorded, mostly (93%) within the first two days. No events were recorded on day four or five. A few characteristics were associated with a trend for events occurring earlier (events more than once a week vs less than once a week, motor symptoms compared with aura or dyscognitive events, and reduction of antiepileptic drugs versus no reduction). Our finding suggests that, for diagnostic event recording in people with epilepsy or PNEA, a maximum recording time of three days is sufficient in two thirds of them, if event frequency is at least once a week. In the remaining third, prolonged recording up to five days did not result in capturing a clinical event. For these individuals, shorter admission could be planned, for example for 2days rather than 5days. |
Author | Cox, Fieke M.E. Reus, Elise E.M. Visser, Gerhard H. |
Author_xml | – sequence: 1 givenname: Fieke M.E. surname: Cox fullname: Cox, Fieke M.E. email: fcox@sein.nl – sequence: 2 givenname: Elise E.M. surname: Reus fullname: Reus, Elise E.M. – sequence: 3 givenname: Gerhard H. surname: Visser fullname: Visser, Gerhard H. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28043065$$D View this record in MEDLINE/PubMed |
BookMark | eNqNkkFrHCEYhqUkNJtt_0KZYy8zUcdxnUtoGzZJIdBD0kNP4uo3i9sZnaqzsP8-DptQCAQWBFHe91EevURnzjtAqCC4Ipjwq10FYw9jPASIFc07FaEVxqsPaEHEipZcMHaGFriluCSUkAt0GeMO5wRm7CO6oAKzGvNmgf482cG6beG7orMhpgL24FJhXR6jSnZe9N5tywRhKPbWgC_X67ti8M4mH-Zq50NhrNo6H5PVxTiF0UeIn9B5p_oIn1_mJfp9u366uS8fft39vPn-UGomeCo3lBhKtdKq3RhheCsw1IxtdEcIVzWpDWUciwaYaepWNIoLSru2bUTTgTJtvURfj9wx-H8TxCQHGzX0vXLgpyiJaBrM2QqLHP3yEp02Axg5BjuocJCvOnLg-hjQwccYoJPapmzBuxSU7SXBcvYvd_K_fzn7l4TKbDcDxBvA6xknVH8cq5Bl7S0EGXXWr8HYADpJ4-0pkOs3EN1bZ7Xq_8IB4s5PweXHkETGXJCP8w-ZPwjhNa7bbGGJvr0POO0OzzhP0f4 |
CitedBy_id | crossref_primary_10_21307_jepil_2018_006 crossref_primary_10_1111_epi_17307 crossref_primary_10_1016_j_seizure_2018_02_008 crossref_primary_10_1111_epi_16629 crossref_primary_10_1055_s_0043_1768160 crossref_primary_10_1016_j_yebeh_2022_108919 |
Cites_doi | 10.1016/j.yebeh.2014.10.023 10.1016/j.seizure.2015.06.003 10.1016/j.yebeh.2005.10.010 10.1111/j.1528-1167.2005.58004.x 10.1212/WNL.55.12.1904 10.1212/01.WNL.0000053748.83309.28 10.1016/j.seizure.2009.04.005 10.1016/j.jocn.2010.07.120 10.1111/j.0013-9580.2004.51003.x 10.1111/epi.13090 |
ContentType | Journal Article |
Copyright | 2016 Elsevier B.V. Elsevier B.V. Copyright © 2016 Elsevier B.V. All rights reserved. |
Copyright_xml | – notice: 2016 Elsevier B.V. – notice: Elsevier B.V. – notice: Copyright © 2016 Elsevier B.V. All rights reserved. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
DOI | 10.1016/j.eplepsyres.2016.12.007 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Pharmacy, Therapeutics, & Pharmacology |
EISSN | 1872-6844 |
EndPage | 94 |
ExternalDocumentID | 28043065 10_1016_j_eplepsyres_2016_12_007 S0920121116303904 1_s2_0_S0920121116303904 |
Genre | Journal Article |
GroupedDBID | --- --K --M .1- .FO .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 29G 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ 9JM AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAXKI AAXLA AAXUO AAYWO ABBQC ABCQJ ABFNM ABFRF ABJNI ABMAC ABMZM ABTEW ABWVN ABXDB ACDAQ ACGFO ACGFS ACIEU ACIUM ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEVXI AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGHFR AGQPQ AGUBO AGWIK AGYEJ AHHHB AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRLJ AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 DU5 EBS EFJIC EFKBS EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HDW HMK HMO HMQ HVGLF HZ~ IHE J1W K-O KOM L7B LX8 M29 M2V M41 MO0 MOBAO N9A O-L O9- OAUVE OP~ OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SAE SCC SDF SDG SEL SES SEW SNS SPCBC SSH SSN SSZ T5K UNMZH WUQ Z5R ~G- AACTN AFCTW AFKWA AJOXV AMFUW RIG AADPK AAIAV ABLVK ABYKQ AJBFU EFLBG LCYCR AAYXX AGRNS CITATION CGR CUY CVF ECM EIF NPM 7X8 ACLOT ~HD |
ID | FETCH-LOGICAL-c486t-b21d22caca9bd8d6980e344bcf116a313d246085e4d53985a6822f99585fead93 |
IEDL.DBID | .~1 |
ISSN | 0920-1211 1872-6844 |
IngestDate | Sun Sep 28 08:48:38 EDT 2025 Wed Feb 19 02:42:19 EST 2025 Tue Jul 01 03:29:44 EDT 2025 Thu Apr 24 23:07:41 EDT 2025 Fri Feb 23 02:30:58 EST 2024 Tue Feb 25 19:58:56 EST 2025 Tue Aug 26 17:15:49 EDT 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
License | Copyright © 2016 Elsevier B.V. All rights reserved. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c486t-b21d22caca9bd8d6980e344bcf116a313d246085e4d53985a6822f99585fead93 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
PMID | 28043065 |
PQID | 1855064708 |
PQPubID | 23479 |
PageCount | 4 |
ParticipantIDs | proquest_miscellaneous_1855064708 pubmed_primary_28043065 crossref_citationtrail_10_1016_j_eplepsyres_2016_12_007 crossref_primary_10_1016_j_eplepsyres_2016_12_007 elsevier_sciencedirect_doi_10_1016_j_eplepsyres_2016_12_007 elsevier_clinicalkeyesjournals_1_s2_0_S0920121116303904 elsevier_clinicalkey_doi_10_1016_j_eplepsyres_2016_12_007 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2017-01-01 |
PublicationDateYYYYMMDD | 2017-01-01 |
PublicationDate_xml | – month: 01 year: 2017 text: 2017-01-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Netherlands |
PublicationPlace_xml | – name: Netherlands |
PublicationTitle | Epilepsy research |
PublicationTitleAlternate | Epilepsy Res |
PublicationYear | 2017 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
References | Eisenman, Attarian, Fessler (bib0020) 2005; 46 Rose, McCabe, Gilliam (bib0040) 2003; 60 Ghougassian, D’souza, Cook (bib0025) 2004; 45 Spritzer, Pirotte, Agostini (bib0050) 2014; 41 Struck, Cole, Cash (bib0055) 2015; 56 Alving, Beniczky (bib0005) 2009; 18 Benbadis, Johnson, Anthony (bib0010) 2000; 55 Seneviratne, Briggs, Lowenstern (bib0045) 2011; 18 Craciun, Varga, Mindruta (bib0015) 2015; 30 Lobello, Morgenlander, Radtke (bib0030) 2006; 8 Mcgonigal, Oto, Russell (bib0035) 2002; 72 Benbadis (10.1016/j.eplepsyres.2016.12.007_bib0010) 2000; 55 Ghougassian (10.1016/j.eplepsyres.2016.12.007_bib0025) 2004; 45 Seneviratne (10.1016/j.eplepsyres.2016.12.007_bib0045) 2011; 18 Mcgonigal (10.1016/j.eplepsyres.2016.12.007_bib0035) 2002; 72 Craciun (10.1016/j.eplepsyres.2016.12.007_bib0015) 2015; 30 Lobello (10.1016/j.eplepsyres.2016.12.007_bib0030) 2006; 8 Struck (10.1016/j.eplepsyres.2016.12.007_bib0055) 2015; 56 Alving (10.1016/j.eplepsyres.2016.12.007_bib0005) 2009; 18 Eisenman (10.1016/j.eplepsyres.2016.12.007_bib0020) 2005; 46 Rose (10.1016/j.eplepsyres.2016.12.007_bib0040) 2003; 60 Spritzer (10.1016/j.eplepsyres.2016.12.007_bib0050) 2014; 41 |
References_xml | – volume: 30 start-page: 90 year: 2015 end-page: 92 ident: bib0015 article-title: Diagnostic yield of five minutes compared to three minutes hyperventilation during electroencephalography publication-title: Seizure – volume: 8 start-page: 261 year: 2006 end-page: 266 ident: bib0030 article-title: Video/EEG monitoring in the evaluation of paroxysmal behavioral events: duration, effectiveness, and limitations publication-title: Epilepsy Behav. – volume: 72 start-page: 549 year: 2002 end-page: 551 ident: bib0035 article-title: Outpatient video EEG recording in the diagnosis of non-epileptic seizures: a randomised controlled trial of simple suggestion techniques publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 55 start-page: 1904 year: 2000 end-page: 1905 ident: bib0010 article-title: Induction of psychogenic nonepileptic seizures without placebo publication-title: Neurology – volume: 46 start-page: 664 year: 2005 end-page: 668 ident: bib0020 article-title: Self-reported seizure frequency and time to first event in the seizure monitoring unit publication-title: Epilepsia – volume: 45 start-page: 928 year: 2004 end-page: 932 ident: bib0025 article-title: Evaluating the utility of inpatient video-EEG monitoring publication-title: Epilepsia – volume: 18 start-page: 361 year: 2011 end-page: 363 ident: bib0045 article-title: The spectrum of psychogenic non-epileptic seizures and comorbidities seen in an epilepsy monitoring unit publication-title: J. Clin. Neurosci. – volume: 60 start-page: 975 year: 2003 end-page: 978 ident: bib0040 article-title: Occurrence of seizure clusters and status epilepticus during inpatient video-EEG monitoring publication-title: Neurology – volume: 56 start-page: 1753 year: 2015 end-page: 1759 ident: bib0055 article-title: The number of seizures needed in the EMU publication-title: Epilepsia – volume: 41 start-page: 264 year: 2014 end-page: 267 ident: bib0050 article-title: The influence of staffing on diagnostic yield of EMU admissions: a comparison study between two institutions publication-title: Epilepsy Behav. – volume: 18 start-page: 470 year: 2009 end-page: 473 ident: bib0005 article-title: Diagnostic usefulness and duration of the inpatient long-term video-EEG monitoring: findings in patients extensively investigated before the monitoring publication-title: Seizure – volume: 41 start-page: 264 year: 2014 ident: 10.1016/j.eplepsyres.2016.12.007_bib0050 article-title: The influence of staffing on diagnostic yield of EMU admissions: a comparison study between two institutions publication-title: Epilepsy Behav. doi: 10.1016/j.yebeh.2014.10.023 – volume: 30 start-page: 90 year: 2015 ident: 10.1016/j.eplepsyres.2016.12.007_bib0015 article-title: Diagnostic yield of five minutes compared to three minutes hyperventilation during electroencephalography publication-title: Seizure doi: 10.1016/j.seizure.2015.06.003 – volume: 8 start-page: 261 year: 2006 ident: 10.1016/j.eplepsyres.2016.12.007_bib0030 article-title: Video/EEG monitoring in the evaluation of paroxysmal behavioral events: duration, effectiveness, and limitations publication-title: Epilepsy Behav. doi: 10.1016/j.yebeh.2005.10.010 – volume: 46 start-page: 664 year: 2005 ident: 10.1016/j.eplepsyres.2016.12.007_bib0020 article-title: Self-reported seizure frequency and time to first event in the seizure monitoring unit publication-title: Epilepsia doi: 10.1111/j.1528-1167.2005.58004.x – volume: 55 start-page: 1904 year: 2000 ident: 10.1016/j.eplepsyres.2016.12.007_bib0010 article-title: Induction of psychogenic nonepileptic seizures without placebo publication-title: Neurology doi: 10.1212/WNL.55.12.1904 – volume: 60 start-page: 975 year: 2003 ident: 10.1016/j.eplepsyres.2016.12.007_bib0040 article-title: Occurrence of seizure clusters and status epilepticus during inpatient video-EEG monitoring publication-title: Neurology doi: 10.1212/01.WNL.0000053748.83309.28 – volume: 18 start-page: 470 year: 2009 ident: 10.1016/j.eplepsyres.2016.12.007_bib0005 article-title: Diagnostic usefulness and duration of the inpatient long-term video-EEG monitoring: findings in patients extensively investigated before the monitoring publication-title: Seizure doi: 10.1016/j.seizure.2009.04.005 – volume: 18 start-page: 361 year: 2011 ident: 10.1016/j.eplepsyres.2016.12.007_bib0045 article-title: The spectrum of psychogenic non-epileptic seizures and comorbidities seen in an epilepsy monitoring unit publication-title: J. Clin. Neurosci. doi: 10.1016/j.jocn.2010.07.120 – volume: 72 start-page: 549 year: 2002 ident: 10.1016/j.eplepsyres.2016.12.007_bib0035 article-title: Outpatient video EEG recording in the diagnosis of non-epileptic seizures: a randomised controlled trial of simple suggestion techniques publication-title: J. Neurol. Neurosurg. Psychiatry – volume: 45 start-page: 928 year: 2004 ident: 10.1016/j.eplepsyres.2016.12.007_bib0025 article-title: Evaluating the utility of inpatient video-EEG monitoring publication-title: Epilepsia doi: 10.1111/j.0013-9580.2004.51003.x – volume: 56 start-page: 1753 year: 2015 ident: 10.1016/j.eplepsyres.2016.12.007_bib0055 article-title: The number of seizures needed in the EMU publication-title: Epilepsia doi: 10.1111/epi.13090 |
SSID | ssj0007044 |
Score | 2.2146544 |
Snippet | •LTM is a useful tool in diagnosis of unclear clinical paroxysmal events.•For diagnostic purposes, most events occur on the first two days of the recording.•No... Highlights • LTM is a useful tool in diagnosis of unclear clinical paroxysmal events. • For diagnostic purposes, most events occur on the first two days of the... Long-term video-EEG monitoring (LTM) aims to record the habitual event and is a useful diagnostic tool for neurological paroxysmal clinical events. In our... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 91 |
SubjectTerms | Adolescent Adult Aged Brain - physiopathology Electroencephalography Epilepsy - classification Epilepsy - diagnosis Epilepsy - physiopathology Female Humans Inpatients Length of Stay Male Middle Aged Monitoring, Physiologic Neurology Retrospective Studies Somatoform Disorders - classification Somatoform Disorders - diagnosis Somatoform Disorders - physiopathology Time Factors Young Adult |
Title | Timing of first event in inpatient long-term video-EEG monitoring for diagnostic purposes |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0920121116303904 https://www.clinicalkey.es/playcontent/1-s2.0-S0920121116303904 https://dx.doi.org/10.1016/j.eplepsyres.2016.12.007 https://www.ncbi.nlm.nih.gov/pubmed/28043065 https://www.proquest.com/docview/1855064708 |
Volume | 129 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1La9wwEB5CCqWXkqavTZugQskp7tqybEv0FMKm25aEQDeQnoRsy2HL1jb15rCX_vbOyPIuJSksFHwyGmQ0D32SZ74BeJ8UEbeZjIM8VxG1MDOBiUN0d5EbW4ZGGlcofHGZTq_Fl5vkZgfOhloYSqv0sb-P6S5a-zdjv5rjdj4ffwsVdwRliChCPLkTJ6gQGdn6h9-bNI8sdA1daXBAo302T5_jZduFbbsVHmwpySt1F4PUWPbhLepfENRtRed78NRjSHbaf-Yz2LH1Pjy-8H_J9-H4quejXp2w2aa8qjthx-xqw1S9eg7fZ9TT65Y1FavmCAOZo3Ni8xofT7jKFk19G1D8ZlSx1wSTySf20wUCuhFkiHlZ2afr4RysRb01ne1ewPX5ZHY2DXyvhaAQMl0GOY9KzgtTGJWXskyVDG0sRF5UuL4mjuKSixThmRVlEiuZmBSRRaUUnjYqNEYVv4Tduqnta2AIcYqCqzIyCMYyY2WiqjgrpEzCnItKjSAbllcXnoic-mEs9JBx9kNvFKNJMTriGhUzgmgt2fZkHFvIqEGDeig2xfCoccfYQjZ7SNZ23s87HekOR-p7tjiCj2vJv8x5y3nfDaam0dvpF46pbXOH8xH_XCqyUI7gVW-D65Xgkvjb0uTgv-Z-A084IRd3y_QWdpe_7uwh4q5lfuQc6wgenX7-Or38A3tFLtg |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3Na9swFH90HWy7lK7bunRfGoye6sWWZVtip1LSZVtTCkuhOwlZlktGZps6PeTSv31Pspww1kFg4JPRQ0bvQz_J7_0ewIdER9RkPA7yXES2hZkKVByiu7NcmSJUXLlC4cl5Or5kX6-Sqy046WthbFqlj_1dTHfR2r8Z-tUcNrPZ8HsoqCMoQ0QR4smdPYCHzLY5QKP-eLfO88hC19HVjg7scJ_O0yV5mWZumnaJJ1ub5ZW6m0HbWfb-PepfGNTtRae7sONBJDnuvvMpbJlqDx5N_G_yPTi86Aipl0dkuq6vao_IIblYU1Uvn8GPqW3qdU3qkpQzxIHE8TmRWYWPZ1wl87q6DmwAJ7Zkrw5Go8_kl4sE9kqQIOglRZevh3OQBhVXt6Z9Dpeno-nJOPDNFgLNeLoIchoVlGqllcgLXqSChyZmLNclLrCKo7igLEV8ZliRxIInKkVoUQqBx40SrVHEL2C7qivzEghiHK2pKCKFaCxThieijDPNeRLmlJViAFm_vFJ7JnLbEGMu-5Szn3KtGGkVIyMqUTEDiFaSTcfGsYGM6DUo-2pTjI8St4wNZLP7ZE3rHb2VkWxxpPzLGAfwaSX5hz1vOO_73tQkurv9h6MqU9_ifJaALmVZyAew39ngaiUotwRuaXLwX3O_g8fj6eRMnn05__YKnlALY9yV02vYXtzcmjcIwhb5W-dkvwEKTzBh |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Timing+of+first+event+in+inpatient+long-term+video-EEG+monitoring+for+diagnostic+purposes&rft.jtitle=Epilepsy+research&rft.au=Cox%2C+Fieke+M+E&rft.au=Reus%2C+Elise+E+M&rft.au=Visser%2C+Gerhard+H&rft.date=2017-01-01&rft.issn=1872-6844&rft.eissn=1872-6844&rft.volume=129&rft.spage=91&rft_id=info:doi/10.1016%2Fj.eplepsyres.2016.12.007&rft.externalDBID=NO_FULL_TEXT |
thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F09201211%2Fcov200h.gif |