Quantitative Measure to Differentiate Wicket Spike from Interictal Epileptiform Discharges

Suryani Gunadharma (Department of Neurology Hasan Sadikin Hospital-Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia)
Ahmad Rizal (Department of Neurology Hasan Sadikin Hospital-Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia)
Rovina Ruslami (Department of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia)
Tri Hanggono Achmad (Department of Biochemistry, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia)
See Siew Ju (Department of Neurology Singapore General Hospital, Singapore 168753)
Juni Wijayanti Puspita (1) Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia 2) Faculty of Mathematics and Natural Science, Universitas Tadulako, Palu, Indonesia)
Sapto Wahyu Indratno (Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia)
Edy Soewono (Faculty of Mathematics and Natural Science, Institut Teknologi Bandung, Bandung, Indonesia)

Communication in Biomathematical Sciences
Vol. 4 No. 1 (2021)

A number of benign EEG patterns are often misinterpreted as interictal epileptiform discharges (IEDs) because of their epileptiform appearances, one of them is wicket spike. Differentiating wicket spike from IEDs may help in preventing epilepsy misdiagnosis. The temporal location of IEDs and wicket spike were chosen from 143 EEG recordings. Amplitude, duration and angles were measured from the wave triangles and were used as the variables. In this study, linear discriminant analysis is used to create the formula to differentiate wicket spike from IEDs consisting spike and sharp waves. We obtained a formula with excellent accuracy. This study emphasizes the need for objective criteria to distinguish wicket spike from IEDs to avoid misreading of the EEG and misdiagnosis of epilepsy.