<p>(A-B) Cross-correlation functions between centre of mass (COM) and COP. Note that for both models, cross-correlation peaks occurred at zero lag (dashed lines). (C-D) Cross-correlation functions between COP and muscle electromyograms (EMGs). Black, red, and blue curves represent cross-correlation functions for Soleus (SO), Medial Gastrocnemius (MG), and Lateral Gastrocnemius (LG), respectively. Irrespective of the model structure, there was a lag of about 300 ms between COP and EMG envelopes from the three muscles. (E-F) COP power spectra. Dashed line represents the 50% power frequency (). It is noteworthy that for <i>Model 2</i> there was a broader bandwidth in comparison to <i>Model 1</i>.</p
Muscle excitation is estimated based on the three spasticity models (velocity-, acceleration-, and f...
The relationship between muscle fibre conduction velocity (MFCV) and the power spectrum of surface E...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...
<p><i>Model 1</i> is the postural control model without reciprocal inhibition, whereas <i>Model 2</i...
The data in these examples represent simulations in which the muscle consisted of 100 motor units, t...
Sensitivity of the cross-correlaton between simulated surface EMGs for two muscles to detect motor u...
The aim of this study is to see if the centre of pressure (COP) measurements on the postural stabili...
<p>(a) The cross-correlation function for EMG channels 1 and 2 (EMG1 and EMG2) as a function of two ...
1<p>RMS_<sub>PM</sub> represents root mean square of primary movement.</p>2<p>RMS_<sub>FI</sub> repr...
<p>Correlation between the sub-maximal to maximal isometric contractions of the grip force and amoun...
a) Individual event cross-correlation between CA1 and PFC in DR mode, showing a maximum correlation ...
In each panel, black lines represent the relation between CST and rectified EMG (symbols represent a...
<p>Mean squared cross-correlation in EMG collected from three facial muscle groups as a function of ...
<p>Each bar represents the percentage of intervals (3-s duration windows) with positive (gray) and n...
The 41st International Engineering in Medicine and Biology Conference, Berlin, Germany, 23-27 July 2...
Muscle excitation is estimated based on the three spasticity models (velocity-, acceleration-, and f...
The relationship between muscle fibre conduction velocity (MFCV) and the power spectrum of surface E...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...
<p><i>Model 1</i> is the postural control model without reciprocal inhibition, whereas <i>Model 2</i...
The data in these examples represent simulations in which the muscle consisted of 100 motor units, t...
Sensitivity of the cross-correlaton between simulated surface EMGs for two muscles to detect motor u...
The aim of this study is to see if the centre of pressure (COP) measurements on the postural stabili...
<p>(a) The cross-correlation function for EMG channels 1 and 2 (EMG1 and EMG2) as a function of two ...
1<p>RMS_<sub>PM</sub> represents root mean square of primary movement.</p>2<p>RMS_<sub>FI</sub> repr...
<p>Correlation between the sub-maximal to maximal isometric contractions of the grip force and amoun...
a) Individual event cross-correlation between CA1 and PFC in DR mode, showing a maximum correlation ...
In each panel, black lines represent the relation between CST and rectified EMG (symbols represent a...
<p>Mean squared cross-correlation in EMG collected from three facial muscle groups as a function of ...
<p>Each bar represents the percentage of intervals (3-s duration windows) with positive (gray) and n...
The 41st International Engineering in Medicine and Biology Conference, Berlin, Germany, 23-27 July 2...
Muscle excitation is estimated based on the three spasticity models (velocity-, acceleration-, and f...
The relationship between muscle fibre conduction velocity (MFCV) and the power spectrum of surface E...
The distributed lag non-linear model (DLNM) is frequently used in environmental and epidemiological ...