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Heart Rate Variability Analysis for Seizure Detection in Neonatal Intensive Care Units.
Olmi, Benedetta; Manfredi, Claudia; Frassineti, Lorenzo; Dani, Carlo; Lori, Silvia; Bertini, Giovanna; Cossu, Cesarina; Bastianelli, Maria; Gabbanini, Simonetta; Lanatà, Antonio.
Afiliación
  • Olmi B; Department of Information Engineering, Università degli Studi di Firenze, Via Santa Marta 3, 50139 Firenze, Italy.
  • Manfredi C; Department of Information Engineering, Università degli Studi di Firenze, Via Santa Marta 3, 50139 Firenze, Italy.
  • Frassineti L; Department of Information Engineering, Università degli Studi di Firenze, Via Santa Marta 3, 50139 Firenze, Italy.
  • Dani C; Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
  • Lori S; Department of Neurosciences, Psychology, Drug Research and Child Health, Division of Neonatology, AOU Careggi, Largo Brambilla 3, 50134 Firenze, Italy.
  • Bertini G; Neurophysiology Unit, Neuro-Musculo-Skeletal Department, AOU Careggi University, Largo Brambilla 3, 50134 Firenze, Italy.
  • Cossu C; Department of Neurosciences, Psychology, Drug Research and Child Health, Division of Neonatology, AOU Careggi, Largo Brambilla 3, 50134 Firenze, Italy.
  • Bastianelli M; Neurophysiology Unit, Neuro-Musculo-Skeletal Department, AOU Careggi University, Largo Brambilla 3, 50134 Firenze, Italy.
  • Gabbanini S; Neurophysiology Unit, Neuro-Musculo-Skeletal Department, AOU Careggi University, Largo Brambilla 3, 50134 Firenze, Italy.
  • Lanatà A; Neurophysiology Unit, Neuro-Musculo-Skeletal Department, AOU Careggi University, Largo Brambilla 3, 50134 Firenze, Italy.
Bioengineering (Basel) ; 9(4)2022 Apr 07.
Article en En | MEDLINE | ID: mdl-35447725
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of utmost importance for a timely clinical intervention. Over the years, several neonatal seizure detection systems were proposed to detect neonatal seizures automatically and speed up seizure diagnosis, most based on the EEG signal analysis. Recently, research has focused on other possible seizure markers, such as electrocardiography (ECG). This work proposes an ECG-based NSD system to investigate the usefulness of heart rate variability (HRV) analysis to detect neonatal seizures in the NICUs. HRV analysis is performed considering time-domain, frequency-domain, entropy and multiscale entropy features. The performance is evaluated on a dataset of ECG signals from 51 full-term babies, 29 seizure-free. The proposed system gives results comparable to those reported in the literature: Area Under the Receiver Operating Characteristic Curve = 62%, Sensitivity = 47%, Specificity = 67%. Moreover, the system's performance is evaluated in a real clinical environment, inevitably affected by several artefacts. To the best of our knowledge, our study proposes for the first time a multi-feature ECG-based NSD system that also offers a comparative analysis between babies suffering from seizures and seizure-free ones.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Bioengineering (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Bioengineering (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza