An algorithm for real-time detection of spike-wave discharges in rodents

作者：Ovchinnikov Alexey; Luttjohann Annika; Hramov Alexander; van Luijtelaar Gilles^*

来源：Journal of Neuroscience Methods, 2010, 194(1): 172-178.

DOI：10.1016/j.jneumeth.2010.09.017

• Absence seizures
• Detection
• ECoG
• Real time
• WAG/Rij rats
• Continuous wavelet

The automatic real-time detection of spike-wave discharges (SWDs), the electroencephalographic hallmark of absence seizures, would provide a complementary tool for rapid interference with electrical deep brain stimulation in both patients and animal models. This paper describes a real-time detection algorithm for SWDs based on continuous wavelet analyses in rodents. It has been implemented in a commercially available data acquisition system and its performance experimentally verified. ECoG recordings lasting 5-8 h from rats (n = 8) of the WAG/Rij strain were analyzed using the real-time SWD detection system. The results indicate that the algorithm is able to detect SWDs within 1 s with 100% sensitivity and with a precision of 96.6% for the number of SWDs. Similar results are achieved for 24-h ECoG recordings of two rats. The dependence of accuracy and speed of detection on program settings and attributes of ECoG are discussed. It is concluded that the wavelet based real-time detecting algorithm is well suited for automatic, real-time detection of SWDs in rodents.

• 出版日期2010-12-15