Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection.

Autor:	Zhang J; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium., Swinnen L; Laboratory for Epilepsy Research, KU Leuven, Leuven, Belgium., Chatzichristos C; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium., Broux V; Reference Center for Refractory epilepsy, Department of Neurology, UZ Leuven, Leuven, Belgium., Proost R; Department of Pediatric Neurology, UZ Leuven, Leuven, Belgium., Jansen K; Department of Pediatric Neurology, UZ Leuven, Leuven, Belgium.; Department of Development and Regeneration, KU Leuven, Leuven, Belgium., Mahler B; Department of Neurology, Karolinska University Hospital, Stockholm, Sweden., Zabler N; Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg im Breisgau, Germany., Epitashvilli N; Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg im Breisgau, Germany., Dümpelmann M; Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg im Breisgau, Germany., Schulze-Bonhage A; Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Freiburg im Breisgau, Germany., Schriewer E; Department of Epileptology and Neurology, University of Aachen, Aachen, Germany., Ermis U; Department of Epileptology and Neurology, University of Aachen, Aachen, Germany., Wolking S; Department of Epileptology and Neurology, University of Aachen, Aachen, Germany., Linke F; Department of Epileptology and Neurology, University of Aachen, Aachen, Germany., Weber Y; Department of Epileptology and Neurology, University of Aachen, Aachen, Germany., Symmonds M; Oxford Epilepsy Research Group, NIHR Biomedical Research Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Sen A; Oxford Epilepsy Research Group, NIHR Biomedical Research Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom., Biondi A; Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom., Richardson MP; Department of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, United Kingdom., I AS; Neurology Department, Coimbra Hospital and University Centre, Coimbra, Portugal., Silva AI; Neurology Department, Coimbra Hospital and University Centre, Coimbra, Portugal., Sales F; Neurology Department, Coimbra Hospital and University Centre, Coimbra, Portugal., Vértes G; Epilepsy Seizure Detection-Neurology UCB Pharma, Brussels, Belgium., Paesschen WV; Laboratory for Epilepsy Research, KU Leuven, Leuven, Belgium.; Reference Center for Refractory epilepsy, Department of Neurology, UZ Leuven, Leuven, Belgium., Vos M; Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Jazyk:	angličtina
Zdroj:	Physiological measurement [Physiol Meas] 2024 Jun 07; Vol. 45 (6). Date of Electronic Publication: 2024 Jun 07.
DOI:	10.1088/1361-6579/ad4e94
Abstrakt:	Objective . This paper aims to investigate the possibility of detecting tonic-clonic seizures (TCSs) with behind-the-ear, two-channel wearable electroencephalography (EEG), and to evaluate its added value to non-EEG modalities in TCS detection. Methods . We included 27 participants with a total of 44 TCSs from the European multicenter study SeizeIT2. The wearable Sensor Dot (Byteflies) was used to measure behind-the-ear EEG, electromyography (EMG), electrocardiography, accelerometry (ACC) and gyroscope. We evaluated automatic unimodal detection of TCSs, using sensitivity, precision, false positive rate (FPR) and F1-score. Subsequently, we fused the different modalities and again assessed performance. Algorithm-labeled segments were then provided to two experts, who annotated true positive TCSs, and discarded false positives. Results . Wearable EEG outperformed the other single modalities with a sensitivity of 100% and a FPR of 10.3/24 h. The combination of wearable EEG and EMG proved most clinically useful, delivering a sensitivity of 97.7%, an FPR of 0.4/24 h, a precision of 43%, and an F1-score of 59.7%. The highest overall performance was achieved through the fusion of wearable EEG, EMG, and ACC, yielding a sensitivity of 90.9%, an FPR of 0.1/24 h, a precision of 75.5%, and an F1-score of 82.5%. Conclusions . In TCS detection with a wearable device, combining EEG with EMG, ACC or both resulted in a remarkable reduction of FPR, while retaining a high sensitivity. Significance . Adding wearable EEG could further improve TCS detection, relative to extracerebral-based systems. (© 2024 Institute of Physics and Engineering in Medicine.)
Databáze:	MEDLINE
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