Ultra-low-power high sensitivity spike detectors based on modified nonlinear energy operator


Spike detectors are important data-compression components for state-of-the-art implantable neural recording microsystems. This paper proposes two improved spike detection algorithms, frequency-enhanced nonlinear energy operator (fNEO) and energy-of-derivative (ED), to solve the sensitivity reduction of a conventional nonlinear energy operator (NEO) in the… (More)
DOI: 10.1109/ISCAS.2013.6571801

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