6533b7cefe1ef96bd12578c3

RESEARCH PRODUCT

Adaptive-threshold neural spike detection by noise-envelope tracking

Narcis CardonaL. TraverCristina TarinP. Marti

subject

Signal processingNoise (signal processing)Computer scienceNoise reductionDetectorElectronic engineeringSpike (software development)Detection theoryElectrical and Electronic EngineeringNeurophysiologyAlgorithmSpike potential

description

A new method for adaptive threshold setting is implemented and used in two threshold-based spike detectors: simple threshold and nonlinear energy operator. Detection quality assessment is performed using both a set of artificially generated signals and a real neural recording. Receiver operating curves are obtained and results show that, compared to fix threshold, adaptive threshold setting yields performance improvement.

https://doi.org/10.1049/el:20071631