Title :
Optimal detection, classification, and superposition resolution in neural waveform recordings
Author :
Bankman, Isaac N. ; Johnson, Kenneth O. ; Schneider, Wolfger
Author_Institution :
Applied Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
The effects of noise autocorrelation on neural waveform recognition (detection, classification, and superposition resolution) are investigated, using microelectrode recordings from the cortex of a monkey. Optimal waveform recognition is accomplished by passing the data through a whitening filter before matched filtering for detection or template matching for classification and superposition resolution. Template matching without whitening requires about 40% higher signal-to-noise ratio (SNR) than template matching with whitening for comparable classification and superposition resolution. The comparable difference for detection is 15%.
Keywords :
bioelectric potentials; biological techniques and instruments; neurophysiology; signal processing; classification; detection; microelectrode recordings; monkey cortex; neural waveform recordings; noise autocorrelation; optimal waveform recognition; signal-to-noise ratio; superposition resolution; template matching; whitening filter; Autocorrelation; Blood flow; Cardiology; Filtering; Forward contracts; Heart; Impedance; Matched filters; Microelectrodes; Phasor measurement units; Rabbits; Reflection; Signal resolution; Signal to noise ratio; Action Potentials; Animals; Artifacts; Bayes Theorem; Electrophysiology; Haplorhini; Neurons; Somatosensory Cortex;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
