Ambulatory seizure detection

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Ambulatory seizure detection
Συγγραφείς: Bernini, A., Dan, J., Ryvlin, P.
Πηγή: Current opinion in neurology, vol. 37, no. 2, pp. 99-104
Στοιχεία εκδότη: Ovid Technologies (Wolters Kluwer Health), 2024.
Έτος έκδοσης: 2024
Θεματικοί όροι: Machine Learning, Epilepsy, Seizures, Humans, Electroencephalography, Seizures/diagnosis, Algorithms, 3. Good health
Περιγραφή: Purpose of review To review recent advances in the field of seizure detection in ambulatory patients with epilepsy. Recent findings Recent studies have shown that wrist or arm wearable sensors, using 3D-accelerometry, electrodermal activity or photoplethysmography, in isolation or in combination, can reliably detect focal-to-bilateral and generalized tonic-clonic seizures (GTCS), with a sensitivity over 90%, and false alarm rates varying from 0.1 to 1.2 per day. A headband EEG has also demonstrated a high sensitivity for detecting and help monitoring generalized absence seizures. In contrast, no appropriate solution is yet available to detect focal seizures, though some promising findings were reported using ECG-based heart rate variability biomarkers and subcutaneous EEG. Summary Several FDA and/or EU-certified solutions are available to detect GTCS and trigger an alarm with acceptable rates of false alarms. However, data are still missing regarding the impact of such intervention on patients’ safety. Noninvasive solutions to reliably detect focal seizures in ambulatory patients, based on either EEG or non-EEG biosignals, remain to be developed. To this end, a number of challenges need to be addressed, including the performance, but also the transparency and interpretability of machine learning algorithms.
Τύπος εγγράφου: Article
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISSN: 1473-6551
1350-7540
DOI: 10.1097/wco.0000000000001248
Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38328946
https://serval.unil.ch/resource/serval:BIB_124B9EC42341.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_124B9EC423410
https://serval.unil.ch/notice/serval:BIB_124B9EC42341
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi.dedup.....7753c6b6ca6ba4b9331b930ed02e8648
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:14736551
13507540
DOI:10.1097/wco.0000000000001248