An Ultralow-Power Sleep Spindle Detection System on Chip

作者：Iranmanesh Saam^*; Rodriguez Villegas Esther

来源：IEEE Transactions on Biomedical Circuits and Systems, 2017, 11(4): 858-866.

DOI：10.1109/TBCAS.2017.2690908

• Terms-Electroencephalogram (EEG)
• low-power electronics
• sleep spindle detection
• spectral edge frequency (SEF)
• teager energy operator (TEO)

This paper describes a full system-on-chip to automatically detect sleep spindle events from scalp EEG signals. These events, which are known to play an important role on memory consolidation during sleep, are also characteristic of a number of neurological diseases. The operation of the system is based on a previously reported algorithm, which used the Teager energy operator, together with the Spectral Edge Frequency (SEF50) achieving more than 70% sensitivity and 98% specificity. The algorithm is now converted into a hardware analog based customized implementation in order to achieve extremely low levels of power. Experimental results prove that the system, which is fabricated in a 0.18 mu m CMOS technology, is able to operate from a 1.25 V power supply consuming only 515 nW, with an accuracy that is comparable to its software counterpart.

• 出版日期2017-8