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Epilepsia

Publication date: 2024-02-01
Volume: 65 Pages: 378 - 388
Publisher: Wiley

Author:

Swinnen, Lauren
Chatzichristos, Christos ; Bhagubai, Miguel ; Broux, Victoria ; Zabler, Nicolas ; Duempelmann, Matthias ; Schulze-Bonhage, Andreas ; De Vos, Maarten ; Van Paesschen, Wim

Keywords:

Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences & Neurology, epilepsy, machine learning, seizure detection, seizure underreporting, wearable devices, ILAE COMMISSION, POSITION PAPER, CLASSIFICATION, CHILDREN, EEG, Adult, Female, Humans, Young Adult, Drug Resistant Epilepsy, Electrodes, Electroencephalography, Epilepsy, Absence, Seizures, Wearable Electronic Devices, Male, Epilepsy, 1103 Clinical Sciences, 1109 Neurosciences, Neurology & Neurosurgery, 3202 Clinical sciences, 3209 Neurosciences

Abstract:

OBJECTIVE: Home monitoring of 3-Hz spike-wave discharges (SWDs) in patients with refractory absence epilepsy could improve clinical care by replacing the inaccurate seizure diary with objective counts. We investigated the use and performance of the Sensor Dot (Byteflies) wearable in persons with absence epilepsy in their home environment. METHODS: Thirteen participants (median age = 22 years, 11 female) were enrolled at the university hospitals of Leuven and Freiburg. At home, participants had to attach the Sensor Dot and behind-the-ear electrodes to record two-channel electroencephalogram (EEG), accelerometry, and gyroscope data. Ground truth annotations were created during a visual review of the full Sensor Dot recording. Generalized SWDs were annotated if they were 3 Hz and at least 3 s on EEG. Potential 3-Hz SWDs were flagged by an automated seizure detection algorithm, (1) using only EEG and (2) with an additional postprocessing step using accelerometer and gyroscope to discard motion artifacts. Afterward, two readers (W.V.P. and L.S.) reviewed algorithm-labeled segments and annotated true positive detections. Sensitivity, precision, and F1 score were calculated. Patients had to keep a seizure diary and complete questionnaires about their experiences. RESULTS: Total recording time was 394 h 42 min. Overall, 234 SWDs were captured in 11 of 13 participants. Review of the unimodal algorithm-labeled recordings resulted in a mean sensitivity of .84, precision of .93, and F1 score of .89. Visual review of the multimodal algorithm-labeled segments resulted in a similar F1 score and shorter review time due to fewer false positive labels. Participants reported that the device was comfortable and that they would be willing to wear it on demand of their neurologist, for a maximum of 1 week or with intermediate breaks. SIGNIFICANCE: The Sensor Dot improved seizure documentation at home, relative to patient self-reporting. Additional benefits were the short review time and the patients' device acceptance due to user-friendliness and comfortability.