Contraction Patterns of Neck Muscles during Phonating by High-Density Surface Electromyography

Zhu, Mingxing1,2; Lu, Lin3; Yang, Zijian1,2; Wang, Xin1,2; Liu, Zhenzhen1,2; Wei, Wenhao4; Chen, Fei5; Li, Peng6; Chen, Shixiong1,2; Li, Guanglin1,2

10.1109/CBS.2018.8612181

2018

978-1-5386-7356-0

2018 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS)

572-575

25-27 Oct. 2018

Shenzhen, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Phonation is generated by sequentially closing and opening of vocal folds, which is controlled by the laryngeal musculature. Pitch that is the highest contributor to generate natural voice depends on the contraction of muscles over the neck. Proper evaluation of muscular activities from neck muscles would be helpful to understand the phonation functions. While surface electromyography (sEMG) technique has been chosen to investigate physiological characteristics of neck muscles for pitch estimation in previous studies, it remains unclear what are the contracting patterns on both left and right sides of the neck muscles. In this study, 80 channels of high-density (HD) sEMG electrodes were recorded from three healthy volunteers when they phonated vowel (/a/) during varying pitch from normal to high. The root mean square (RMS) of the HD sEMG signals was computed within a series of analysis windows. An averaged RMS was used to construct HD sEMG energy maps for offering average energy distribution of the neck muscles. Normalized RMS (NRMS) was calculated to quantitatively display the correlation of the neck muscles between the left and right sides. The results of sEMG waveforms and NRMS values showed obvious symmetry between the left and right sides of the front neck muscles. Additionally, the NRMS across all five rows revealed a left-right significant correlation (r=0.9432 +/- 0.018, p<0.01). This pilot study suggests that HD sEMG would be a potential tool to assess contraction patterns of the neck muscles during phonation. Also, it might pave way for evaluating the muscle synergy during phonating.

Muscles Neck Electrodes Correlation Electromyography Larynx Signal processing

其他

英语

CPCI-S ; EI

Shenzhen Science and Technology Project of Nanshan District[2017012]

Computer Science ; Robotics

Computer Science, Cybernetics ; Robotics

WOS:000468469300112

20190906562972

Cyborgs ; Electric circuit breakers ; Speech

Biomedical Engineering:461.1 ; Biological Materials and Tissue Engineering:461.2 ; Speech:751.5

Web of Science

1.Chinese Acad Sci, Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synergy Sy, Shenzhen 518055, Peoples R China
2.Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen 518055, Peoples R China
3.Shenzhen Univ, Nanshan Hosp, Rehabil Dept, Shenzhen 518052, Peoples R China
4.Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin 541000, Peoples R China
5.Southern Univ Sci & Technol, Shenzhen 518055, Guangdong, Peoples R China
6.Sun Yat Sen Univ, Affiliated Hosp 3, 600 Tianhe Rd, Guangzhou 510630, Guangdong, Peoples R China

Zhu, Mingxing,Lu, Lin,Yang, Zijian,et al. Contraction Patterns of Neck Muscles during Phonating by High-Density Surface Electromyography[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:572-575.