A 1.8 mW 12 channel wireless seizure detector for miniaturized portable EEG systems

نویسندگان

  • Lojini Logesparan
  • Syed Anas Imtiaz
  • Alexander J. Casson
  • Eduardo Aguilar-Pelaez
  • Esther Rodriguez-Villegas
چکیده

There is a well established need for the creation of highly miniaturized, long lasting and comfortable EEG systems. Power consumption, particularly of wireless transmission stages, is a major obstacle to the creation of these new EEG systems. This paper presents a 1.8 mW, 12 channel seizure detection algorithm for providing real-time power reduction of the wireless transmitter. An algorithm that can detect 88% of seizures while removing 90% of the background EEG signal is reported and implemented on a low-power micro-controller platform. This algorithm can be used to decrease the power consumption of the wireless transmitter stage by 90% to allow long term monitoring from very physically small batteries.

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تاریخ انتشار 2012