Structural Biomechanics

This paper represents the outcome of a fantastic work done by @ArnaultCaillet and a fruitful collaboration with @atmphillips @icStructBiomech and Dario Farina! 🍾🎉 ..and more publications from Arnault's doctoral work are on their way!!

We tested both the experimental and the simulated spike trains as input to a MN-driven muscle model consisting of a collection of motor unis. Both the neural drive and the whole muscle force were better predicted with the reconstructed MN pool than with the HDEMG data alone!🤯5/6

Step 3⃣ provides a realistic distribution of the MN electrophysiological properties in the MN pool, which is applied 4⃣ to a cohort of MN models that predict the firing behaviour of the complete MN pool. 4/6

1⃣ The MNs identified from HDEMGs are located into the MN pool. 2⃣ The common MN membrane current is estimated from the experimental data. 3⃣ It controls models of discharging MNs, calibrated to match the recorded discharge frequencies. 3/6

Spike trains from HDEMGs alone do not accurately predict the real neural drive to muscle and are not reliable inputs to muscle models. We developed a 4⃣-step method to predict the discharge behaviour of the complete population of MNs even from limited experimental data. 2/6

How can we use high-density EMG (HDEMG) signals to control motoneuron (MN)-driven muscle models? We offer some answers and a validated and open-source 🤩computational method in our new published paper: 📜 doi.org/10.1371/journal.pcbi… 💾 github.com/ArnaultCAILLET/Ca… 1/6

I talked about subject-specific modelling pipelines, the STAPLE toolbox for automatic generation 🤖of @OpenSimSU models and its future development plans at #ANZORS2021 last week. A recording of the talk is available on my YouTube channel: youtu.be/MWCJPT-uqOk 🤯💡📽️🏃‍♂️