Adaptive nocturnal seizure detection using heart rate and low-complexity novelty detection
• Personalized heart rate based seizure detection is required for good performance. • A personalized seizure detection algorithm is proposed using only heart rate data. • Algorithm automatically adapts to patients without requiring seizure annotations. • Adaptation to patient heart rate characterist...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
De Cooman, Thomas [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Umfang: |
6 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Differential methylation of a CpG site in the CD95-ligand promoter predicts the response to therapy with APG101 in glioblastoma - Gieffers, C. ELSEVIER, 2016, Oxford [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:59 ; year:2018 ; pages:48-53 ; extent:6 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.seizure.2018.04.020 |
|---|
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| 520 | |a • Personalized heart rate based seizure detection is required for good performance. • A personalized seizure detection algorithm is proposed using only heart rate data. • Algorithm automatically adapts to patients without requiring seizure annotations. • Adaptation to patient heart rate characteristics after a couple of hours. • Good performance for nocturnal monitoring of partial and convulsive seizures. | ||
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Adaptive nocturnal seizure detection using heart rate and low-complexity novelty detection |
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• Personalized heart rate based seizure detection is required for good performance. • A personalized seizure detection algorithm is proposed using only heart rate data. • Algorithm automatically adapts to patients without requiring seizure annotations. • Adaptation to patient heart rate characteristics after a couple of hours. • Good performance for nocturnal monitoring of partial and convulsive seizures. |
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• Personalized heart rate based seizure detection is required for good performance. • A personalized seizure detection algorithm is proposed using only heart rate data. • Algorithm automatically adapts to patients without requiring seizure annotations. • Adaptation to patient heart rate characteristics after a couple of hours. • Good performance for nocturnal monitoring of partial and convulsive seizures. |
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