Literature DB >> 15453536

Surface electromyographic activity in total laryngectomy patients following laryngeal nerve transfer to neck strap muscles.

James T Heaton1, Ehab A Goldstein, James B Kobler, Steven M Zeitels, Gregory W Randolph, Michael J Walsh, John E Gooey, Robert E Hillman.   

Abstract

Hands-free triggering and pitch control would improve electrolarynx devices, which are inconvenient to use and sound unnatural. The present study tested the strategy of salvaging voice-related neural signals for hands-free electrolarynx control either by transferring cut recurrent laryngeal nerves (RLNs) to denervated neck strap muscles or by preserving strap muscles with their normal innervation. An RLN nerve transfer was performed at the time of total laryngectomy in 8 individuals, and in 5 of these subjects, strap muscles with intact ansa cervicalis innervation were also preserved for comparison. Neck surface electromyography performed over the strap muscles was used periodically for more than 1 year on phonatory and nonphonatory tasks. Signals were eventually obtained in all subjects from both RLN-innervated and ansa-innervated strap muscles that correlated with speech production. After 1 year, RLN-driven signals were larger than ansa-driven signals in magnitude, and their timing appeared better correlated with intended phonation. The results show that neck surface electromyography is an effective control source for hands-free electrolarynx activation, and that RLN transfer may provide the best approach for obtaining phonation-related activity.

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Year:  2004        PMID: 15453536     DOI: 10.1177/000348940411300915

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  9 in total

1.  Development and perceptual evaluation of amplitude-based F0 control in electrolarynx speech.

Authors:  Yoko Saikachi; Kenneth N Stevens; Robert E Hillman
Journal:  J Speech Lang Hear Res       Date:  2009-06-29       Impact factor: 2.297

2.  Development and evaluation of wheel-controlled pitch-adjustable electrolarynx.

Authors:  Li Wang; Yijun Feng; Ze Yang; Haijun Niu
Journal:  Med Biol Eng Comput       Date:  2016-12-24       Impact factor: 2.602

3.  Electromyographic control of a hands-free electrolarynx using neck strap muscles.

Authors:  Heather L Kubert; Cara E Stepp; Steven M Zeitels; John E Gooey; Michael J Walsh; S R Prakash; Robert E Hillman; James T Heaton
Journal:  J Commun Disord       Date:  2009-01-19       Impact factor: 2.288

4.  Post-laryngectomy speech respiration patterns.

Authors:  Cara E Stepp; James T Heaton; Robert E Hillman
Journal:  Ann Otol Rhinol Laryngol       Date:  2008-08       Impact factor: 1.547

5.  Neck and face surface electromyography for prosthetic voice control after total laryngectomy.

Authors:  Cara E Stepp; James T Heaton; Rebecca G Rolland; Robert E Hillman
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-03-16       Impact factor: 3.802

6.  Development of a wireless electromyographically controlled electrolarynx voice prosthesis.

Authors:  James T Heaton; Mark Robertson; Cliff Griffin
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2011

7.  Surface Electromyography-Based Recognition, Synthesis, and Perception of Prosodic Subvocal Speech.

Authors:  Jennifer M Vojtech; Michael D Chan; Bhawna Shiwani; Serge H Roy; James T Heaton; Geoffrey S Meltzner; Paola Contessa; Gianluca De Luca; Rupal Patel; Joshua C Kline
Journal:  J Speech Lang Hear Res       Date:  2021-05-12       Impact factor: 2.297

Review 8.  Use of surface electromyography in phonation studies: an integrative review.

Authors:  Patricia Maria Mendes Balata; Hilton Justino da Silva; Kyvia Juliana Rocha de Moraes; Leandro de Araújo Pernambuco; Sílvia Regina Arruda de Moraes
Journal:  Int Arch Otorhinolaryngol       Date:  2013-07

9.  A pneumatic Bionic Voice prosthesis-Pre-clinical trials of controlling the voice onset and offset.

Authors:  Farzaneh Ahmadi; Farzad Noorian; Daniel Novakovic; André van Schaik
Journal:  PLoS One       Date:  2018-02-21       Impact factor: 3.240

  9 in total

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