Automated detection of absence seizures using a wearable electroencephalographic device: a phase 3 validation study and feasibility of automated behavioral testing.
Japaridze G, Loeckx D, Buckinx T, Armand Larsen S, Proost R, Jansen K, MacMullin P, Paiva N, Kasradze S, Rotenberg A, Lagae L, Beniczky S.
Epilepsia. 2022;00:1–7.
https://doi.org/10.1111/epi.17200
This new publication by Japaridze et al. 2022 examined the precision and feasibility of #automated absence #seizuredetection using a wearable, one-channel, electroencephalographic (#EEG) system. Moreover, the patient’s #awarenessduring seizures was examined by their responsiveness to automated alarms, triggered by the EEG registration of a potential absence seizure, on a connected smartphone. The results were compared to gold standard video-EEG recordings.
The study found automated absence seizure detection with the wearable EEG device to be feasible (average device sensitivity per patient: 78.3%; device deficiency: 4.67%) and to enhance seizure quantification. Furthermore, the automated behavioral testing accurately classified the patient’s awareness (responsive or nonresponsive) during seizures.