Facial EMG channels and corresponding facial regions (lower face—LF, upper face—UF) and monitored location.

Facial EMG channels and corresponding facial regions (lower face—LF, upper face—UF) and monitored location.</p

Facial sEMG during different exercise intensities.

Capture of facial expression (a); Raw signal from the zygomaticus major muscle (Ch8) (b); The estimated Wlech’s power spectral density (PSD) (c); Corresponding accelerometer and gyroscope 3-axis data (d and e).</p

Examples of post-processing of data recorded of voluntary smiles during the exercise test.

Differential sEMG (filtered) data from electrode pairs (A); 3 fastICA that was applied upon the signals recorded from all 16 channels (B); Corresponding heatmaps that depict the activated muscles resulted from the ICA analysis (C); The cycling protocol with marks of the instructed voluntary smiles (shadowed green) (D).</p

Correlation coefficient table between normalized RMS values of sEMG data of each channel and RMS of VL muscle.

Correlation coefficient table between normalized RMS values of sEMG data of each channel and RMS of VL muscle.</p

Neutral facial expression ratio (NFER) calculated for all 16 channels during the test, indicating signal’s stability throughout the intensity range (N = 6).

Neutral facial expression ratio (NFER) calculated for all 16 channels during the test, indicating signal’s stability throughout the intensity range (N = 6).</p

Average±SD of normalized RMS values of sEMG data from the frontalis muscle during voluntary smiles along the exercise test (black line) and the average RMS values of the VL muscle (grey line) (N = 6).

Average±SD of normalized RMS values of sEMG data from the frontalis muscle during voluntary smiles along the exercise test (black line) and the average RMS values of the VL muscle (grey line) (N = 6).</p

Comparison between various facial expression studies during physical tasks using facial electromyography.

Comparison between various facial expression studies during physical tasks using facial electromyography.</p

Experimental setup.

The sEMG multi-electrode array sticker placement on a participant, with the channel numbers corresponding to each electrode, in both upper and lower facial regions. Also shown are the VL EMG unit and the DAU supporting 16-channel facial EMG recording and acceleration data collection of the head.</p

matlab code for generating the paper figures

matlab functions are named FigX corresponding to the Xth figure (figures 1 and 2 are illustrative and were not included). Some additional plotting functions are included and are needed for figure generation

Data_Sheet_1_Bi-directional electrical recording and stimulation of the intact retina with a screen-printed soft probe: a feasibility study.PDF

IntroductionElectrophysiological investigations of intact neural circuits are challenged by the gentle and complex nature of neural tissues. Bi-directional electrophysiological interfacing with the retina, in its intact form, is particularly demanding and currently there is no feasible approach to achieve such investigations. Here we present a feasibility study of a novel soft multi-electrode array suitable for bi-directional electrophysiological study of the intact retina.MethodsScreen-printed soft electrode arrays were developed and tested. The soft probes were designed to accommodate the curvature of the retina in the eye and offer an opportunity to study the retina in its intact form.ResultsFor the first time, we show both electrical recording and stimulation capabilities from the intact retina. In particular, we demonstrate the ability to characterize retina responses to electrical stimulation and reveal stable, direct, and indirect responses compared with ex-vivo conditions.DiscussionThese results demonstrate the unique performances of the new probe while also suggesting that intact retinas retain better stability and robustness than ex-vivo retinas making them more suitable for characterizing retina responses to electrical stimulation.</p