Normalization Patterns of the Surface Electromyographic Signal in the Phonation Evaluation

Balata, P.; Silva, Hilton Justino da; Pernambuco, Leandro de Araújo; Oliveira, Jabson Herber Profiro de; Moraes, Sílvia Regina Arruda de

doi:10.1016/j.jvoice.2014.03.010

Cited by 8 publications

(2 citation statements)

References 25 publications

(28 reference statements)

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“…Laryngeal electromyography (EMG) is a well‐established means to evaluate the neuromuscular activity of both intrinsic and extrinsic laryngeal musculature . Two modalities of EMG have emerged over decades of electrophysiologic inquiry: invasive needle‐based electromyography (nEMG) and surface electromyography (sEMG).…”

Section: Introductionmentioning

confidence: 60%

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

et al. 2019

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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, 129:2347–2353, 2019

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Section: Introductionmentioning

confidence: 60%

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

et al. 2019

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“…Currently, most of the methods for assessing the pitchrelated phonation functions are based on the analysis of speech signals (Gerratt et al, 2016;Brajot and Lawrence, 2018;Murtola et al, 2019). However, the speech signals are easily affected by environmental acoustic noises and humanintroduced interferences (Dennis et al, 2010;Balata et al, 2015). It is difficult to collect speech signals with high quality in a noisy environment, and therefore, the recorded noisecontaminated speech signals were unreliable for assessing pitchrelated phonation functions.…”

Section: Introductionmentioning

confidence: 99%

Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface Electromyography

et al. 2022

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Pitch, as a sensation of the sound frequency, is a crucial attribute toward constructing a natural voice for communication. Producing intelligible sounds with normal pitches depend on substantive interdependencies among facial and neck muscles. Clarifying the interrelations between the pitches and the corresponding muscular activities would be helpful for evaluating the pitch-related phonating functions, which would play a significant role both in training pronunciation and in assessing dysphonia. In this study, the speech signals and the high-density surface electromyography (HD sEMG) signals were synchronously acquired when phonating [a:], [i:], and [ә:] vowels with increasing pitches, respectively. The HD sEMG energy maps were constructed based on the root mean square values to visualize spatiotemporal characteristics of facial and neck muscle activities. Normalized median frequency (nMF) and root-mean square (nRMS) were correspondingly extracted from the speech and sEMG recordings to quantitatively investigate the correlations between sound frequencies and myoelectric characteristics. The results showed that the frame-wise energy maps built from sEMG recordings presented that the muscle contraction strength increased monotonously across pitch-rising, with left-right symmetrical distribution for the face/neck. Furthermore, the nRMS increased at a similar rate to the nMF when there were rising pitches, and the two parameters had a significant correlation across different vowel tasks [(a:) (0.88 ± 0.04), (i:) (0.89 ± 0.04), and (ә:) (0.87 ± 0.05)]. These findings suggested the possibility of utilizing muscle contraction patterns as a reference for evaluating pitch-related phonation functions. The proposed method could open a new window for developing a clinical approach for assessing the muscular functions of dysphonia.

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Intelligent human computer interaction based on non redundant EMG signal

Sun

et al. 2020

Alexandria Engineering Journal

167

103

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Normalization Patterns of the Surface Electromyographic Signal in the Phonation Evaluation

Cited by 8 publications

References 25 publications

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

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

Towards Evaluating Pitch-Related Phonation Function in Speech Communication Using High-Density Surface Electromyography

Intelligent human computer interaction based on non redundant EMG signal

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