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

Abstract

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

6 Figures and Tables

Topics

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.
  • Presentations referencing similar topics