Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units
(2022) In Journal of Electromyography and Kinesiology 67.- Abstract
Background: Recent findings have shown that imaging voluntarily activated motor units (MUs) by decomposing ultrasound-based displacement images provides estimates of unfused tetanic signals evoked by spinal motoneurons’ neural discharges (spikes). Two methods have been suggested to estimate its spike trains: band-pass filter (BPM) and Haar wavelet transform (HWM). However, the methods’ optimal parameters and which method performs the best are unknown. This study will answer these questions. Method: HWM and BPM were optimized using simulations. Their performance was evaluated based on simulations and 21 experimental datasets, considering their rate of agreement, spike offset, and spike offset variability to the simulated or experimental... (More)
Background: Recent findings have shown that imaging voluntarily activated motor units (MUs) by decomposing ultrasound-based displacement images provides estimates of unfused tetanic signals evoked by spinal motoneurons’ neural discharges (spikes). Two methods have been suggested to estimate its spike trains: band-pass filter (BPM) and Haar wavelet transform (HWM). However, the methods’ optimal parameters and which method performs the best are unknown. This study will answer these questions. Method: HWM and BPM were optimized using simulations. Their performance was evaluated based on simulations and 21 experimental datasets, considering their rate of agreement, spike offset, and spike offset variability to the simulated or experimental spikes. Results: A range of parameter sets that resulted in the highest possible agreement with simulated spikes was provided. Both methods highly agreed with simulated and experimental spikes, but HWM was a better spike estimation method than BPM because it had a higher agreement, less bias, and less variation (p < 0.001). Conclusions: The optimized HWM will be an important contributor to further developing the identification and analysis of MUs using imaging, providing indirect access to the neural drive of the spinal cord to the muscle by the unfused tetanic signals.
(Less)
- author
- Rohlén, Robin LU ; Antfolk, Christian LU and Grönlund, Christer
- organization
- publishing date
- 2022-12
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Electromyography and Kinesiology
- volume
- 67
- article number
- 102714
- publisher
- Elsevier
- external identifiers
-
- scopus:85139291787
- pmid:36209700
- ISSN
- 1050-6411
- DOI
- 10.1016/j.jelekin.2022.102714
- language
- English
- LU publication?
- yes
- id
- 7090d4a8-28a2-4ae7-851b-58df27716dee
- date added to LUP
- 2022-12-09 11:04:02
- date last changed
- 2024-06-13 12:34:22
@article{7090d4a8-28a2-4ae7-851b-58df27716dee, abstract = {{<p>Background: Recent findings have shown that imaging voluntarily activated motor units (MUs) by decomposing ultrasound-based displacement images provides estimates of unfused tetanic signals evoked by spinal motoneurons’ neural discharges (spikes). Two methods have been suggested to estimate its spike trains: band-pass filter (BPM) and Haar wavelet transform (HWM). However, the methods’ optimal parameters and which method performs the best are unknown. This study will answer these questions. Method: HWM and BPM were optimized using simulations. Their performance was evaluated based on simulations and 21 experimental datasets, considering their rate of agreement, spike offset, and spike offset variability to the simulated or experimental spikes. Results: A range of parameter sets that resulted in the highest possible agreement with simulated spikes was provided. Both methods highly agreed with simulated and experimental spikes, but HWM was a better spike estimation method than BPM because it had a higher agreement, less bias, and less variation (p < 0.001). Conclusions: The optimized HWM will be an important contributor to further developing the identification and analysis of MUs using imaging, providing indirect access to the neural drive of the spinal cord to the muscle by the unfused tetanic signals.</p>}}, author = {{Rohlén, Robin and Antfolk, Christian and Grönlund, Christer}}, issn = {{1050-6411}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Journal of Electromyography and Kinesiology}}, title = {{Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units}}, url = {{http://dx.doi.org/10.1016/j.jelekin.2022.102714}}, doi = {{10.1016/j.jelekin.2022.102714}}, volume = {{67}}, year = {{2022}}, }