Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection
This paper aims to investigate the possibility of detecting tonic-clonic seizures with behind-the-ear, two-channel wearable electroencephalography (EEG), and to evaluate its added value to non-EEG modalities in TCS detection
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection
This paper aims to investigate the possibility of detecting tonic-clonic seizures with behind-the-ear, two-channel wearable electroencephalography (EEG), and to evaluate its added value to non-EEG modalities in TCS detection
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection
This paper aims to investigate the possibility of detecting tonic-clonic seizures with behind-the-ear, two-channel wearable electroencephalography (EEG), and to evaluate its added value to non-EEG modalities in TCS detection
Abstract
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.
Keywords: epilepsy; multimodal seizure detection; tonic-clonic seizure; wearable EEG.
Reference
Zhang J, Swinnen L, Chatzichristos C, Broux V, Proost R, Jansen K, Mahler B, Zabler N, Epitashvilli N, Dümpelmann M, Schulze-Bonhage A, Schriewer E, Ermis U, Wolking S, Linke F, Weber Y, Symmonds M, Sen A, Biondi A, Richardson MP, I AS, Silva AI, Sales F, Vértes G, Paesschen WV, Vos M. Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection. Physiol Meas. 2024 Jun 7;45(6). doi: 10.1088/1361-6579/ad4e94. PMID: 38772401.
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Abstract
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.
Keywords: epilepsy; multimodal seizure detection; tonic-clonic seizure; wearable EEG.
Reference
Zhang J, Swinnen L, Chatzichristos C, Broux V, Proost R, Jansen K, Mahler B, Zabler N, Epitashvilli N, Dümpelmann M, Schulze-Bonhage A, Schriewer E, Ermis U, Wolking S, Linke F, Weber Y, Symmonds M, Sen A, Biondi A, Richardson MP, I AS, Silva AI, Sales F, Vértes G, Paesschen WV, Vos M. Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection. Physiol Meas. 2024 Jun 7;45(6). doi: 10.1088/1361-6579/ad4e94. PMID: 38772401.
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