Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separation.

ABSTRACT:

Background

Individual motor units have been imaged using ultrafast ultrasound based on separating ultrasound images into motor unit twitches (unfused tetanus) evoked by the motoneuronal spike train. Currently, the spike train is estimated from the unfused tetanic signal using a Haar wavelet method (HWM). Although this ultrasound technique has great potential to provide comprehensive access to the neural drive to muscles for a large population of motor units simultaneously, the method has a limited identification rate of the active motor units. The estimation of spikes partly explains the limitation. Since the HWM may be sensitive to noise and unfused tetanic signals often are noisy, we must consider alternative methods with at least similar performance and robust against noise, amo

SUBMITTER: Rohlen R 

PROVIDER: S-EPMC9906860 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature