Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units

Motor unit
DOI: 10.1016/j.jelekin.2022.102714 Publication Date: 2022-10-02T13:55:28Z
ABSTRACT
Recent findings have shown that imaging voluntarily activated motor units (MUs) by decomposing ultrasound-based displacement images provides estimates of unfused tetanic signals evoked spinal motoneurons' neural discharges (spikes). Two methods been suggested to estimate its spike trains: band-pass filter (BPM) and Haar wavelet transform (HWM). However, the methods' optimal parameters which method performs best are unknown. This study will answer these questions.HWM BPM were optimized using simulations. Their performance was evaluated based on simulations 21 experimental datasets, considering their rate agreement, offset, offset variability simulated or spikes.A range parameter sets resulted in highest possible agreement with spikes provided. Both highly agreed spikes, but HWM a better estimation than because it had higher less bias, variation (p < 0.001).The be an important contributor further developing identification analysis MUs imaging, providing indirect access drive cord muscle signals.
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