The sound of silence: Quantification of typical absence seizures by sonifying EEG signals from a custom-built wearable device.

Autor: Borges DF; Department of Neurophysiology, School of Health (ESS), Polytechnic University of Porto, Porto, Portugal.; Center for Translational Health and Medical Biotechnology Research (TBIO), School of Health, Polytechnic University of Porto, Porto, Portugal.; Faculty of Medicine, University of Porto, Porto, Portugal., Fernandes J; Department of Clinical Physiology, Medical Imaging and Radiotherapy, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal.; Refractory Epilepsy Reference Center, Centro Hospitalar de Lisboa Ocidental, Lisboa, Portugal., Soares JI; Department of General Sciences, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal.; Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.; Neuronal Networks Group, Institute for Research and Innovation in Health Sciences (i3S), University of Porto, Porto, Portugal., Casalta-Lopes J; Department of General Sciences, Polytechnic University of Coimbra, Coimbra Health School, Coimbra, Portugal.; Department of Radiotherapy, Centro Hospitalar Universitário de São João, Porto, Portugal.; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal., Carvalho D; Department of Pediatric Neurology, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal., Beniczky S; Department of Clinical Neurophysiology, Danish Epilepsy Center, Dianalund, Denmark.; Department of Clinical Medicine and Department of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark., Leal A; Unidade Autónoma de Neurofisiologia, Hospital Júlio de Matos, Lisbon, Portugal.
Jazyk: angličtina
Zdroj: Epileptic disorders : international epilepsy journal with videotape [Epileptic Disord] 2024 Apr; Vol. 26 (2), pp. 188-198. Date of Electronic Publication: 2024 Jan 27.
DOI: 10.1002/epd2.20194
Abstrakt: Objective: To develop and validate a method for long-term (24-h) objective quantification of absence seizures in the EEG of patients with childhood absence epilepsy (CAE) in their real home environment using a wearable device (waEEG), comparing automatic detection methods with auditory recognition after seizure sonification.
Methods: The waEEG recording was acquired with two scalp electrodes. Automatic analysis was performed using previously validated software (Persyst® 14) and then fully reviewed by an experienced clinical neurophysiologist. The EEG data were converted into an audio file in waveform format with a 60-fold time compression factor. The sonified EEG was listened to by three inexperienced observers and the number of seizures and the processing time required for each data set were recorded blind to other data. Quantification of seizures from the patient diary was also assessed.
Results: Eleven waEEG recordings from seven CAE patients with an average age of 8.18 ± 1.60 years were included. No differences in the number of seizures were found between the recordings using automated methods and expert audio assessment, with significant correlations between methods (ρ > .89, p < .001) and between observers (ρ > .96, p < .001). For the entire data set, the audio assessment yielded a sensitivity of .830 and a precision of .841, resulting in an F1 score of .835.
Significance: Auditory waEEG seizure detection by lay medical personnel provided similar accuracy to post-processed automatic detection by an experienced clinical neurophysiologist, but in a less time-consuming procedure and without the need for specialized resources. Sonification of long-term EEG recordings in CAE provides a user-friendly and cost-effective clinical workflow for quantifying seizures in clinical practice, minimizing human and technical constraints.
(© 2024 International League Against Epilepsy.)
Databáze: MEDLINE
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