Δευτέρα 21 Ιανουαρίου 2019

High‐density surface electromyography: A visualization method of laryngeal muscle activity

Objectives/Hypothesis

Laryngeal muscle activation is a complex and dynamic process. Current evaluation methods include needle and surface electromyography (sEMG). Limitations of needle electromyography include patient discomfort, interpretive complexity, and limited duration of recording. sEMG demonstrates interpretive challenges given loss of spatial selectivity. Application of high‐density sEMG (HD sEMG) arrays were evaluated for potential to compensate for spatial selectivity loss while retaining benefits of noninvasive monitoring.

Study Design

Basic science.

Methods

Ten adults performed phonatory tasks while a 20‐channel array recorded spatiotemporal data of the anterior neck. Data were processed to provide average spectral power of each electrode. Comparison was made between rest, low‐, and high‐pitch phonation. Two‐dimensional (2D) spectral energy maps were created to evaluate use in gross identification of muscle location.

Results

Three phonatory tasks yielded spectral power measures across the HD sEMG array. Each electrode within the array demonstrated unique power values across all subjects (P < .001). Comparison of each electrode to itself across phonatory tasks yielded differences in all subjects during rest versus low versus high, rest versus low, and rest versus high and in 9/10 subjects (P < .001) for low versus high phonation. Symmetry of HD sEMG signal was noted. Review of 2D coronal energy maps allowed for gross identification of cricothyroid muscle amidst anterior strap musculature.

Conclusions

HD sEMG can be used to identify differences in anterior neck muscle activity between rest, low‐, and high‐pitch phonation. HD sEMG of the anterior neck holds potential to enhance diagnostic and therapeutic monitoring for pathologies of laryngeal function.

Level of Evidence

NA Laryngoscope, 2019



from #Head and Neck by Sfakianakis via simeraentaxei on Inoreader http://bit.ly/2W5rarA

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