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http://dx.doi.org/10.9718/JBER.2015.36.5.169

Performance Estimation of an Implantable Epileptic Seizure Detector with a Low-power On-chip Oscillator  

Kim, Sunhee (Department of Electronics Engineering, Ewha Womans University)
Choi, Yun Seo (Department of Neurology, Ewha Medical Center, Ewha Womans University School of Medicine and Ewha Medical Research Institute)
Choi, Kanghyun (Department of Neurology, Ewha Medical Center, Ewha Womans University School of Medicine and Ewha Medical Research Institute)
Lee, Jiseon (Department of Neurology, Ewha Medical Center, Ewha Womans University School of Medicine and Ewha Medical Research Institute)
Lee, Byung-Uk (Department of Electronics Engineering, Ewha Womans University)
Lee, Hyang Woon (Department of Neurology, Ewha Medical Center, Ewha Womans University School of Medicine and Ewha Medical Research Institute)
Lee, Seungjun (Department of Electronics Engineering, Ewha Womans University)
Publication Information
Journal of Biomedical Engineering Research / v.36, no.5, 2015 , pp. 169-176 More about this Journal
Abstract
Implantable closed-loop epilepsy controllers require ideally both accurate epileptic seizure detection and low power consumption. On-chip oscillators can be used in implantable devices because they consume less power than other oscillators such as crystal oscillators. In this study, we investigated the tolerable error range of a lower power on-chip oscillator without losing the accuracy of seizure detection. We used 24 ictal and 14 interictal intracranial electroencephalographic segments recorded from epilepsy surgery patients. The performance variations with respect to oscillator frequency errors were estimated in terms of specificity, modified sensitivity, and detection timing difference of seizure onset using Generic Osorio Frei Algorithm. The frequency errors of on-chip oscillators were set at ${\pm}10%$ as the worst case. Our results showed that an oscillator error of ${\pm}10%$ affected both specificity and modified sensitivity by less than 3%. In addition, seizure onsets were detected with errors earlier or later than without errors and the average detection timing difference varied within less than 0.5 s range. The results suggest that on-chip oscillators could be useful for low-power implantable devices without error compensation circuitry requiring significant additional power. These findings could help the design of closed-loop systems with a seizure detector and automated stimulators for intractable epilepsy patients.
Keywords
implantable biomedical devices; low power; on-chip oscillators; performance evaluation; seizure detector;
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