Skip to main content
Erschienen in: Der Nervenarzt 12/2019

31.10.2019 | Elektromyografie | Leitthema

Mobiles Anfallsmonitoring bei Epilepsiepatienten

verfasst von: Prof. Dr. A. Schulze-Bonhage, S. Böttcher, M. Glasstetter, N. Epitashvili, E. Bruno, M. Richardson, K. v. Laerhoven, M. Dümpelmann

Erschienen in: Der Nervenarzt | Ausgabe 12/2019

Einloggen, um Zugang zu erhalten

Zusammenfassung

Wearables stoßen bei Epilepsiepatienten und behandelnden Ärzten auf ein großes Interesse zur Erfassung der Anfallsfrequenz und Warnung bei Anfällen, darüber hinaus auch zur Erkennung anfallsassoziierter Gefährdungen von Patienten, zur differenzialdiagnostischen Einschätzung seltener Anfallsformen und zur Vorhersage von Perioden mit erhöhter Anfallswahrscheinlichkeit. Akzelerometrie, Elektromyographie, Herzfrequenzmessungen und weitere Verfahren zur Messung autonomer Parameter werden hierbei zur Erfassung klinischer Anfallssymptome eingesetzt. Gegenwärtig wird ein klinischer Einsatz zur Erfassung nächtlicher motorischer Anfälle möglich. In der Übersicht werden verfügbare Geräte, Daten zur Leistungsfähigkeit bei der Dokumentation von Anfällen, aktuelle Einsatzmöglichkeiten sowie Entwicklungen in der Datenanalyse kritisch dargestellt und diskutiert.
Literatur
1.
Zurück zum Zitat Al-Bakri AF, Villamar MF, Haddix C et al (2018) Noninvasive seizure prediction using autonomic measurements in patients with refractory epilepsy. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2018, S 2422–2425 Al-Bakri AF, Villamar MF, Haddix C et al (2018) Noninvasive seizure prediction using autonomic measurements in patients with refractory epilepsy. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2018, S 2422–2425
3.
Zurück zum Zitat Becq G, Bonnet S, Minotti L et al (2011) Classification of epileptic motor manifestations using inertial and magnetic sensors. Comput Biol Med 41:46–55CrossRefPubMed Becq G, Bonnet S, Minotti L et al (2011) Classification of epileptic motor manifestations using inertial and magnetic sensors. Comput Biol Med 41:46–55CrossRefPubMed
4.
Zurück zum Zitat Beniczky S, Conradsen I, Henning O et al (2018) Automated real-time detection of tonic-clonic seizures using a wearable EMG device. Neurology 90:e428–e434CrossRefPubMedPubMedCentral Beniczky S, Conradsen I, Henning O et al (2018) Automated real-time detection of tonic-clonic seizures using a wearable EMG device. Neurology 90:e428–e434CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Beniczky S, Conradsen I, Moldovan M et al (2015) Automated differentiation between epileptic and nonepileptic convulsive seizures. Ann Neurol 77:348–351CrossRefPubMed Beniczky S, Conradsen I, Moldovan M et al (2015) Automated differentiation between epileptic and nonepileptic convulsive seizures. Ann Neurol 77:348–351CrossRefPubMed
6.
Zurück zum Zitat Beniczky S, Polster T, Kjaer TW et al (2013) Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: a prospective, multicenter study. Epilepsia 54:e58–e61CrossRefPubMed Beniczky S, Polster T, Kjaer TW et al (2013) Detection of generalized tonic-clonic seizures by a wireless wrist accelerometer: a prospective, multicenter study. Epilepsia 54:e58–e61CrossRefPubMed
7.
Zurück zum Zitat Beniczky S, Ryvlin P (2018) Standards for testing and clinical validation of seizure detection devices. Epilepsia 59(Suppl 1):9–13CrossRefPubMed Beniczky S, Ryvlin P (2018) Standards for testing and clinical validation of seizure detection devices. Epilepsia 59(Suppl 1):9–13CrossRefPubMed
8.
Zurück zum Zitat Bergey GK, Morrell MJ, Mizrahi EM et al (2015) Long-term treatment with responsive brain stimulation in adults with refractory partial seizures. Neurology 84:810–817CrossRefPubMedPubMedCentral Bergey GK, Morrell MJ, Mizrahi EM et al (2015) Long-term treatment with responsive brain stimulation in adults with refractory partial seizures. Neurology 84:810–817CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Blum DE, Eskola J, Bortz JJ et al (1996) Patient awareness of seizures. Neurology 47:260–264CrossRefPubMed Blum DE, Eskola J, Bortz JJ et al (1996) Patient awareness of seizures. Neurology 47:260–264CrossRefPubMed
11.
Zurück zum Zitat Boon P, Vonck K, Van Rijckevorsel K et al (2015) A prospective, multicenter study of cardiac-based seizure detection to activate vagus nerve stimulation. Seizure 32:52–61CrossRefPubMed Boon P, Vonck K, Van Rijckevorsel K et al (2015) A prospective, multicenter study of cardiac-based seizure detection to activate vagus nerve stimulation. Seizure 32:52–61CrossRefPubMed
12.
Zurück zum Zitat Borujeny GT, Yazdi M, Keshavarz-Haddad A et al (2013) Detection of epileptic seizure using wireless sensor networks. J Med Signals Sens 3:63–68CrossRefPubMedPubMedCentral Borujeny GT, Yazdi M, Keshavarz-Haddad A et al (2013) Detection of epileptic seizure using wireless sensor networks. J Med Signals Sens 3:63–68CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Bruno E, Simblett S, Lang A et al (2018) Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy Behav 85:141–149CrossRefPubMed Bruno E, Simblett S, Lang A et al (2018) Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy Behav 85:141–149CrossRefPubMed
15.
Zurück zum Zitat Conradsen I, Beniczky S, Hoppe K et al (2011) Seizure onset detection based on one sEMG channel. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2011, S 7715–7718 Conradsen I, Beniczky S, Hoppe K et al (2011) Seizure onset detection based on one sEMG channel. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2011, S 7715–7718
16.
Zurück zum Zitat Conradsen I, Beniczky S, Wolf P et al (2012) Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data. Comput Methods Programs Biomed 107:97–110CrossRefPubMed Conradsen I, Beniczky S, Wolf P et al (2012) Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data. Comput Methods Programs Biomed 107:97–110CrossRefPubMed
17.
Zurück zum Zitat Cook MJ, O’brien TJ, Berkovic SF et al (2013) Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet Neurol 12:563–571CrossRefPubMed Cook MJ, O’brien TJ, Berkovic SF et al (2013) Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet Neurol 12:563–571CrossRefPubMed
18.
Zurück zum Zitat Cuppens K, Karsmakers P, Van De Vel A et al (2014) Accelerometry-based home monitoring for detection of nocturnal hypermotor seizures based on novelty detection. IEEE J Biomed Health Inform 18:1026–1033CrossRefPubMed Cuppens K, Karsmakers P, Van De Vel A et al (2014) Accelerometry-based home monitoring for detection of nocturnal hypermotor seizures based on novelty detection. IEEE J Biomed Health Inform 18:1026–1033CrossRefPubMed
19.
Zurück zum Zitat Cuppens K, Lagae L, Ceulemans B et al (2009) Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: a first study. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2009, S 6608–6611 Cuppens K, Lagae L, Ceulemans B et al (2009) Detection of nocturnal frontal lobe seizures in pediatric patients by means of accelerometers: a first study. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2009, S 6608–6611
20.
Zurück zum Zitat Dalton A, Patel S, Chowdhury AR et al (2012) Development of a body sensor network to detect motor patterns of epileptic seizures. IEEE Trans Biomed Eng 59:3204–3211CrossRefPubMed Dalton A, Patel S, Chowdhury AR et al (2012) Development of a body sensor network to detect motor patterns of epileptic seizures. IEEE Trans Biomed Eng 59:3204–3211CrossRefPubMed
21.
Zurück zum Zitat Eisenman LN, Attarian H, Fessler AJ et al (2005) Self-reported seizure frequency and time to first event in the seizure monitoring unit. Epilepsia 46:664–668CrossRefPubMed Eisenman LN, Attarian H, Fessler AJ et al (2005) Self-reported seizure frequency and time to first event in the seizure monitoring unit. Epilepsia 46:664–668CrossRefPubMed
23.
24.
Zurück zum Zitat Garbey M, Sun N, Merla A et al (2007) Contact-free measurement of cardiac pulse based on the analysis of thermal imagery. IEEE Trans Biomed Eng 54:1418–1426CrossRefPubMed Garbey M, Sun N, Merla A et al (2007) Contact-free measurement of cardiac pulse based on the analysis of thermal imagery. IEEE Trans Biomed Eng 54:1418–1426CrossRefPubMed
25.
Zurück zum Zitat Geertsema EE, Thijs RD, Gutter T et al (2018) Automated video-based detection of nocturnal convulsive seizures in a residential care setting. Epilepsia 59(Suppl 1):53–60CrossRefPubMed Geertsema EE, Thijs RD, Gutter T et al (2018) Automated video-based detection of nocturnal convulsive seizures in a residential care setting. Epilepsia 59(Suppl 1):53–60CrossRefPubMed
26.
Zurück zum Zitat Gubbi J, Kusmakar S, Rao AS et al (2016) Automatic detection and classification of convulsive psychogenic nonepileptic seizures using a wearable device. IEEE J Biomed Health Inform 20:1061–1072CrossRefPubMed Gubbi J, Kusmakar S, Rao AS et al (2016) Automatic detection and classification of convulsive psychogenic nonepileptic seizures using a wearable device. IEEE J Biomed Health Inform 20:1061–1072CrossRefPubMed
27.
Zurück zum Zitat Halford JJ, Sperling MR, Nair DR et al (2017) Detection of generalized tonic-clonic seizures using surface electromyographic monitoring. Epilepsia 58:1861–1869CrossRefPubMedPubMedCentral Halford JJ, Sperling MR, Nair DR et al (2017) Detection of generalized tonic-clonic seizures using surface electromyographic monitoring. Epilepsia 58:1861–1869CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Hirsch M, Altenmuller DM, Schulze-Bonhage A (2015) Latencies from intracranial seizure onset to ictal tachycardia: A comparison to surface EEG patterns and other clinical signs. Epilepsia 56:1639–1647CrossRefPubMed Hirsch M, Altenmuller DM, Schulze-Bonhage A (2015) Latencies from intracranial seizure onset to ictal tachycardia: A comparison to surface EEG patterns and other clinical signs. Epilepsia 56:1639–1647CrossRefPubMed
29.
Zurück zum Zitat Hoppe C, Feldmann M, Blachut B et al (2015) Novel techniques for automated seizure registration: patients’ wants and needs. Epilepsy Behav 52:1–7CrossRefPubMed Hoppe C, Feldmann M, Blachut B et al (2015) Novel techniques for automated seizure registration: patients’ wants and needs. Epilepsy Behav 52:1–7CrossRefPubMed
30.
Zurück zum Zitat Hoppe C, Poepel A, Elger CE (2007) Epilepsy: accuracy of patient seizure counts. Arch Neurol 64:1595–1599CrossRefPubMed Hoppe C, Poepel A, Elger CE (2007) Epilepsy: accuracy of patient seizure counts. Arch Neurol 64:1595–1599CrossRefPubMed
31.
Zurück zum Zitat Imtiaz SA, Logesparan L, Rodriguez-Villegas E (2015) Performance-power consumption tradeoff in wearable epilepsy monitoring systems. IEEE J Biomed Health Inform 19:1019–1028CrossRefPubMed Imtiaz SA, Logesparan L, Rodriguez-Villegas E (2015) Performance-power consumption tradeoff in wearable epilepsy monitoring systems. IEEE J Biomed Health Inform 19:1019–1028CrossRefPubMed
32.
Zurück zum Zitat Jallon P (2010) A Bayesian approach for epileptic seizures detection with 3D accelerometers sensors. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2010, S 6325–6328 Jallon P (2010) A Bayesian approach for epileptic seizures detection with 3D accelerometers sensors. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2010, S 6325–6328
33.
Zurück zum Zitat Jeppesen J, Beniczky S, Fuglsang Frederiksen A et al (2017) Modified automatic R‑peak detection algorithm for patients with epilepsy using a portable electrocardiogram recorder. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2017, S 4082–4085 Jeppesen J, Beniczky S, Fuglsang Frederiksen A et al (2017) Modified automatic R‑peak detection algorithm for patients with epilepsy using a portable electrocardiogram recorder. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2017, S 4082–4085
34.
Zurück zum Zitat Jeppesen J, Beniczky S, Johansen P et al (2015) Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot. Seizure 24:1–7CrossRefPubMed Jeppesen J, Beniczky S, Johansen P et al (2015) Detection of epileptic seizures with a modified heart rate variability algorithm based on Lorenz plot. Seizure 24:1–7CrossRefPubMed
35.
Zurück zum Zitat Jeppesen J, Beniczky S, Johansen P et al (2016) Comparing maximum autonomic activity of psychogenic non-epileptic seizures and epileptic seizures using heart rate variability. Seizure 37:13–19CrossRefPubMed Jeppesen J, Beniczky S, Johansen P et al (2016) Comparing maximum autonomic activity of psychogenic non-epileptic seizures and epileptic seizures using heart rate variability. Seizure 37:13–19CrossRefPubMed
36.
Zurück zum Zitat Karayiannis NB, Tao G, Frost JD Jr. et al (2006) Automated detection of videotaped neonatal seizures based on motion segmentation methods. Clin Neurophysiol 117:1585–1594CrossRefPubMed Karayiannis NB, Tao G, Frost JD Jr. et al (2006) Automated detection of videotaped neonatal seizures based on motion segmentation methods. Clin Neurophysiol 117:1585–1594CrossRefPubMed
37.
Zurück zum Zitat Kjaer TW, Sorensen HBD, Groenborg S et al (2017) Detection of paroxysms in long-term, single-channel EEG-monitoring of patients with typical absence seizures. IEEE J Transl Eng Health Med 5:2000108CrossRefPubMed Kjaer TW, Sorensen HBD, Groenborg S et al (2017) Detection of paroxysms in long-term, single-channel EEG-monitoring of patients with typical absence seizures. IEEE J Transl Eng Health Med 5:2000108CrossRefPubMed
38.
Zurück zum Zitat Klatt J, Feldwisch-Drentrup H, Ihle M et al (2012) The EPILEPSIAE database: an extensive electroencephalography database of epilepsy patients. Epilepsia 53:1669–1676CrossRefPubMed Klatt J, Feldwisch-Drentrup H, Ihle M et al (2012) The EPILEPSIAE database: an extensive electroencephalography database of epilepsy patients. Epilepsia 53:1669–1676CrossRefPubMed
39.
Zurück zum Zitat Kramer U, Kipervasser S, Shlitner A et al (2011) A novel portable seizure detection alarm system: preliminary results. J Clin Neurophysiol 28:36–38CrossRefPubMed Kramer U, Kipervasser S, Shlitner A et al (2011) A novel portable seizure detection alarm system: preliminary results. J Clin Neurophysiol 28:36–38CrossRefPubMed
40.
Zurück zum Zitat Kuhlmann L, Lehnertz K, Richardson MP et al (2018) Seizure prediction—ready for a new era. Nat Rev Neurol 14:618–630CrossRefPubMed Kuhlmann L, Lehnertz K, Richardson MP et al (2018) Seizure prediction—ready for a new era. Nat Rev Neurol 14:618–630CrossRefPubMed
41.
Zurück zum Zitat Kurada AV, Srinivasan T, Hammond S et al (2019) Seizure detection devices for use in antiseizure medication clinical trials: a systematic review. Seizure 66:61–69CrossRefPubMed Kurada AV, Srinivasan T, Hammond S et al (2019) Seizure detection devices for use in antiseizure medication clinical trials: a systematic review. Seizure 66:61–69CrossRefPubMed
42.
Zurück zum Zitat Kusmakar S, Karmakar CK, Yan B et al (2017) Detection of generalized tonic-clonic seizures using short length accelerometry signal. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : … Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2017, S 4566–4569 Kusmakar S, Karmakar CK, Yan B et al (2017) Detection of generalized tonic-clonic seizures using short length accelerometry signal. In: IEEE Engineering in Medicine and Biology Society (Hrsg) Conference proceedings : … Annual International Conference of the IEEE Engineering in Medicine and Biology Society Annual Conference 2017, S 4566–4569
43.
Zurück zum Zitat Leutmezer F, Schernthaner C, Lurger S et al (2003) Electrocardiographic changes at the onset of epileptic seizures. Epilepsia 44:348–354CrossRefPubMed Leutmezer F, Schernthaner C, Lurger S et al (2003) Electrocardiographic changes at the onset of epileptic seizures. Epilepsia 44:348–354CrossRefPubMed
44.
Zurück zum Zitat Lockman J, Fisher RS, Olson DM (2011) Detection of seizure-like movements using a wrist accelerometer. Epilepsy Behav 20:638–641CrossRefPubMed Lockman J, Fisher RS, Olson DM (2011) Detection of seizure-like movements using a wrist accelerometer. Epilepsy Behav 20:638–641CrossRefPubMed
45.
Zurück zum Zitat Lu H, Pan Y, Mandal B et al (2013) Quantifying limb movements in epileptic seizures through color-based video analysis. IEEE Trans Biomed Eng 60:461–469CrossRefPubMed Lu H, Pan Y, Mandal B et al (2013) Quantifying limb movements in epileptic seizures through color-based video analysis. IEEE Trans Biomed Eng 60:461–469CrossRefPubMed
46.
Zurück zum Zitat Meisel C, Atrache RE, Jackson M et al (2019) Deep learning from wristband sensor data: towards wearable, non-invasive seizure forecasting. arXiv preprint arXiv:1906.00511 Meisel C, Atrache RE, Jackson M et al (2019) Deep learning from wristband sensor data: towards wearable, non-invasive seizure forecasting. arXiv preprint arXiv:1906.00511
47.
Zurück zum Zitat Milosevic M, Van De Vel A, Bonroy B et al (2016) Automated detection of tonic-clonic seizures using 3‑D accelerometry and surface electromyography in pediatric patients. IEEE J Biomed Health Inform 20:1333–1341CrossRefPubMed Milosevic M, Van De Vel A, Bonroy B et al (2016) Automated detection of tonic-clonic seizures using 3‑D accelerometry and surface electromyography in pediatric patients. IEEE J Biomed Health Inform 20:1333–1341CrossRefPubMed
48.
Zurück zum Zitat Mielke H, Meissner S, Wagner K et al Which seizure elements do patients memorize? A comparison of history and seizure documentation Mielke H, Meissner S, Wagner K et al Which seizure elements do patients memorize? A comparison of history and seizure documentation
49.
Zurück zum Zitat Naganur VD, Kusmakar S, Chen Z et al (2019) The utility of an automated and ambulatory device for detecting and differentiating epileptic and psychogenic non-epileptic seizures. Epilepsia Open 4:309–317CrossRefPubMedPubMedCentral Naganur VD, Kusmakar S, Chen Z et al (2019) The utility of an automated and ambulatory device for detecting and differentiating epileptic and psychogenic non-epileptic seizures. Epilepsia Open 4:309–317CrossRefPubMedPubMedCentral
50.
Zurück zum Zitat Nijsen TM, Arends JB, Griep PA et al (2005) The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy. Epilepsy Behav 7:74–84CrossRefPubMed Nijsen TM, Arends JB, Griep PA et al (2005) The potential value of three-dimensional accelerometry for detection of motor seizures in severe epilepsy. Epilepsy Behav 7:74–84CrossRefPubMed
51.
Zurück zum Zitat Nijsen TME, Aarts RM, Arends JBAM, Cluitmans PJM (2008) Automated detection of tonic seizures using 3-D accelerometry. IFMBE Proc 22:188–191CrossRef Nijsen TME, Aarts RM, Arends JBAM, Cluitmans PJM (2008) Automated detection of tonic seizures using 3-D accelerometry. IFMBE Proc 22:188–191CrossRef
52.
Zurück zum Zitat Nijsen TME, Aarts RM, Cluitmans PJM, Griep PAM (2010) Time-frequency analysis of accelerometry data for detection of myoclonic seizures. IEEE Trans Inf Technol Biomed 14(5):1197–1203CrossRefPubMed Nijsen TME, Aarts RM, Cluitmans PJM, Griep PAM (2010) Time-frequency analysis of accelerometry data for detection of myoclonic seizures. IEEE Trans Inf Technol Biomed 14(5):1197–1203CrossRefPubMed
53.
Zurück zum Zitat Nikulin VV, Kegeles J, Curio G (2010) Miniaturized electroencephalographic scalp electrode for optimal wearing comfort. Clin Neurophysiol 121:1007–1014CrossRefPubMed Nikulin VV, Kegeles J, Curio G (2010) Miniaturized electroencephalographic scalp electrode for optimal wearing comfort. Clin Neurophysiol 121:1007–1014CrossRefPubMed
54.
Zurück zum Zitat Onorati F, Regalia G, Caborni C et al (2017) Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors. Epilepsia 58:1870–1879CrossRefPubMed Onorati F, Regalia G, Caborni C et al (2017) Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors. Epilepsia 58:1870–1879CrossRefPubMed
55.
Zurück zum Zitat Patel AD, Moss R, Rust SW et al (2016) Patient-centered design criteria for wearable seizure detection devices. Epilepsy Behav 64:116–121CrossRefPubMed Patel AD, Moss R, Rust SW et al (2016) Patient-centered design criteria for wearable seizure detection devices. Epilepsy Behav 64:116–121CrossRefPubMed
56.
Zurück zum Zitat Patterson AL, Mudigoudar B, Fulton S et al (2015) Smartwatch by smartmonitor: assessment of seizure detection efficacy for various seizure types in children, a large prospective single-center study. Pediatr Neurol 53:309–311CrossRefPubMed Patterson AL, Mudigoudar B, Fulton S et al (2015) Smartwatch by smartmonitor: assessment of seizure detection efficacy for various seizure types in children, a large prospective single-center study. Pediatr Neurol 53:309–311CrossRefPubMed
57.
Zurück zum Zitat Picard RW, Migliorini M, Caborni C et al (2017) Wrist sensor reveals sympathetic hyperactivity and hypoventilation before probable SUDEP. Neurology 89:633–635CrossRefPubMed Picard RW, Migliorini M, Caborni C et al (2017) Wrist sensor reveals sympathetic hyperactivity and hypoventilation before probable SUDEP. Neurology 89:633–635CrossRefPubMed
58.
Zurück zum Zitat Poh MZ, Loddenkemper T, Reinsberger C et al (2012) Convulsive seizure detection using a wrist-worn electrodermal activity and accelerometry biosensor. Epilepsia 53:e93–e97CrossRefPubMed Poh MZ, Loddenkemper T, Reinsberger C et al (2012) Convulsive seizure detection using a wrist-worn electrodermal activity and accelerometry biosensor. Epilepsia 53:e93–e97CrossRefPubMed
59.
Zurück zum Zitat Poh MZ, Mcduff DJ, Picard RW (2011) Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Trans Biomed Eng 58:7–11CrossRefPubMed Poh MZ, Mcduff DJ, Picard RW (2011) Advancements in noncontact, multiparameter physiological measurements using a webcam. IEEE Trans Biomed Eng 58:7–11CrossRefPubMed
60.
Zurück zum Zitat Poppel KV, Fulton SP, Mcgregor A et al (2013) Prospective study of the emfit movement monitor. J Child Neurol 28:1434–1436CrossRefPubMed Poppel KV, Fulton SP, Mcgregor A et al (2013) Prospective study of the emfit movement monitor. J Child Neurol 28:1434–1436CrossRefPubMed
61.
Zurück zum Zitat Ramgopal S, Thome-Souza S, Jackson M et al (2014) Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy. Epilepsy Behav 37:291–307CrossRefPubMed Ramgopal S, Thome-Souza S, Jackson M et al (2014) Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy. Epilepsy Behav 37:291–307CrossRefPubMed
62.
Zurück zum Zitat Regalia G, Onorati F, Lai M et al (2019) Multimodal wrist-worn devices for seizure detection and advancing research: focus on the empatica wristbands. Epilepsy Res 153:79–82CrossRefPubMed Regalia G, Onorati F, Lai M et al (2019) Multimodal wrist-worn devices for seizure detection and advancing research: focus on the empatica wristbands. Epilepsy Res 153:79–82CrossRefPubMed
63.
Zurück zum Zitat Remi J, Cunha JP, Vollmar C et al (2011) Quantitative movement analysis differentiates focal seizures characterized by automatisms. Epilepsy Behav 20:642–647CrossRefPubMed Remi J, Cunha JP, Vollmar C et al (2011) Quantitative movement analysis differentiates focal seizures characterized by automatisms. Epilepsy Behav 20:642–647CrossRefPubMed
64.
Zurück zum Zitat Ryvlin P, Beniczky S (2018) Seizure detection and mobile health devices in epilepsy: update and future developments. Epilepsia 59(Suppl 1):7–8CrossRefPubMed Ryvlin P, Beniczky S (2018) Seizure detection and mobile health devices in epilepsy: update and future developments. Epilepsia 59(Suppl 1):7–8CrossRefPubMed
65.
Zurück zum Zitat Schelter B, Winterhalder M, Maiwald T et al (2006) Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction. Chaos 16:13108CrossRefPubMed Schelter B, Winterhalder M, Maiwald T et al (2006) Testing statistical significance of multivariate time series analysis techniques for epileptic seizure prediction. Chaos 16:13108CrossRefPubMed
66.
Zurück zum Zitat Schulc E, Unterberger I, Saboor S et al (2011) Measurement and quantification of generalized tonic-clonic seizures in epilepsy patients by means of accelerometry—an explorative study. Epilepsy Res 95:173–183CrossRefPubMed Schulc E, Unterberger I, Saboor S et al (2011) Measurement and quantification of generalized tonic-clonic seizures in epilepsy patients by means of accelerometry—an explorative study. Epilepsy Res 95:173–183CrossRefPubMed
67.
Zurück zum Zitat Schulze-Bonhage A (2017) Brain stimulation as a neuromodulatory epilepsy therapy. Seizure 44:169–175CrossRefPubMed Schulze-Bonhage A (2017) Brain stimulation as a neuromodulatory epilepsy therapy. Seizure 44:169–175CrossRefPubMed
68.
Zurück zum Zitat Schulze-Bonhage A (2019) Long-term outcome in neurostimulation of epilepsy. Epilepsy Behav 91:25–29CrossRefPubMed Schulze-Bonhage A (2019) Long-term outcome in neurostimulation of epilepsy. Epilepsy Behav 91:25–29CrossRefPubMed
70.
Zurück zum Zitat Sisterson ND, Richardson RM (2018) Long-term results of responsive neurostimulation in different seizure onset locations. Neurosurgery 82:N3–N4CrossRefPubMed Sisterson ND, Richardson RM (2018) Long-term results of responsive neurostimulation in different seizure onset locations. Neurosurgery 82:N3–N4CrossRefPubMed
71.
Zurück zum Zitat Tatum WOT, Winters L, Gieron M et al (2001) Outpatient seizure identification: results of 502 patients using computer-assisted ambulatory EEG. J Clin Neurophysiol 18:14–19CrossRefPubMed Tatum WOT, Winters L, Gieron M et al (2001) Outpatient seizure identification: results of 502 patients using computer-assisted ambulatory EEG. J Clin Neurophysiol 18:14–19CrossRefPubMed
72.
Zurück zum Zitat Thompson ME, Langer J, Kinfe M (2019) Seizure detection watch improves quality of life for adolescents and their families. Epilepsy Behav 98:188–194CrossRefPubMed Thompson ME, Langer J, Kinfe M (2019) Seizure detection watch improves quality of life for adolescents and their families. Epilepsy Behav 98:188–194CrossRefPubMed
73.
Zurück zum Zitat Van De Vel A, Cuppens K, Bonroy B et al (2016a) Non-EEG seizure detection systems and potential SUDEP prevention: state of the art: review and update. Seizure 41:141–153CrossRefPubMed Van De Vel A, Cuppens K, Bonroy B et al (2016a) Non-EEG seizure detection systems and potential SUDEP prevention: state of the art: review and update. Seizure 41:141–153CrossRefPubMed
74.
Zurück zum Zitat Van De Vel A, Cuppens K, Bonroy B et al (2013) Long-term home monitoring of hypermotor seizures by patient-worn accelerometers. Epilepsy Behav 26:118–125CrossRefPubMed Van De Vel A, Cuppens K, Bonroy B et al (2013) Long-term home monitoring of hypermotor seizures by patient-worn accelerometers. Epilepsy Behav 26:118–125CrossRefPubMed
75.
Zurück zum Zitat Van De Vel A, Milosevic M, Bonroy B et al (2016b) Long-term accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment: Pilot study. Epilepsy Behav Case Rep 5:66–71CrossRefPubMedPubMedCentral Van De Vel A, Milosevic M, Bonroy B et al (2016b) Long-term accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment: Pilot study. Epilepsy Behav Case Rep 5:66–71CrossRefPubMedPubMedCentral
76.
Zurück zum Zitat Van Westrhenen A, De Cooman T, Lazeron RHC et al (2019) Ictal autonomic changes as a tool for seizure detection: a systematic review. Clin Auton Res 29:161–181CrossRefPubMed Van Westrhenen A, De Cooman T, Lazeron RHC et al (2019) Ictal autonomic changes as a tool for seizure detection: a systematic review. Clin Auton Res 29:161–181CrossRefPubMed
78.
Zurück zum Zitat Watkins L, Shankar R (2018) Reducing the risk of sudden unexpected death in epilepsy (SUDEP). Curr Treat Options Neurol 20:40CrossRefPubMed Watkins L, Shankar R (2018) Reducing the risk of sudden unexpected death in epilepsy (SUDEP). Curr Treat Options Neurol 20:40CrossRefPubMed
79.
Zurück zum Zitat Wagenaar JB, Worrell GA, Ives Z et al (2015) Collaborating and sharing data in epilepsy research. J Clin Neurophysiol 32:235–239CrossRefPubMedPubMedCentral Wagenaar JB, Worrell GA, Ives Z et al (2015) Collaborating and sharing data in epilepsy research. J Clin Neurophysiol 32:235–239CrossRefPubMedPubMedCentral
80.
Zurück zum Zitat Weisdorf S, Gangstad SW, Duun-Henriksen J et al (2018) High similarity between EEG from subcutaneous and proximate scalp electrodes in patients with temporal lobe epilepsy. J Neurophysiol 120:1451–1460CrossRefPubMed Weisdorf S, Gangstad SW, Duun-Henriksen J et al (2018) High similarity between EEG from subcutaneous and proximate scalp electrodes in patients with temporal lobe epilepsy. J Neurophysiol 120:1451–1460CrossRefPubMed
81.
Zurück zum Zitat Zhang Z, Pi Z, Liu B (2015) TROIKA: a general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. IEEE Trans Biomed Eng 62:522–531CrossRefPubMed Zhang Z, Pi Z, Liu B (2015) TROIKA: a general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. IEEE Trans Biomed Eng 62:522–531CrossRefPubMed
82.
Zurück zum Zitat Zibrandtsen IC, Kidmose P, Christensen CB et al (2017) Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy—A comparison with scalp EEG monitoring. Clin Neurophysiol 128:2454–2461CrossRefPubMed Zibrandtsen IC, Kidmose P, Christensen CB et al (2017) Ear-EEG detects ictal and interictal abnormalities in focal and generalized epilepsy—A comparison with scalp EEG monitoring. Clin Neurophysiol 128:2454–2461CrossRefPubMed
Metadaten
Titel
Mobiles Anfallsmonitoring bei Epilepsiepatienten
verfasst von
Prof. Dr. A. Schulze-Bonhage
S. Böttcher
M. Glasstetter
N. Epitashvili
E. Bruno
M. Richardson
K. v. Laerhoven
M. Dümpelmann
Publikationsdatum
31.10.2019
Verlag
Springer Medizin
Erschienen in
Der Nervenarzt / Ausgabe 12/2019
Print ISSN: 0028-2804
Elektronische ISSN: 1433-0407
DOI
https://doi.org/10.1007/s00115-019-00822-x

Weitere Artikel der Ausgabe 12/2019

Der Nervenarzt 12/2019 Zur Ausgabe

Neu in den Fachgebieten Neurologie und Psychiatrie