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Is Surface Electromyography (sEMG) a Useful Tool in Identifying Muscle Tension Dysphonia? An Integrative Review of the Current Evidence
Abstract
Objective This integrative review aims to determine the quality level of evidence on using surface electromyography (sEMG) as a diagnostic tool in identifying muscle tension dysphonia. Method Two independent reviewers used one search engine and five databases to identify sEMG studies published between January 1980 and December 2020, using a set of specified search terms related to muscle tension dysphonia. The selected articles were systematically evaluated by two independent raters using a modified critical appraisal of diagnostic evidence (m-CADE) form. Results Nine articles that satisfied the inclusion criteria were selected from among 576 studies for evaluation. These nine studies showed varied methodological approaches in sEMG measurements, including electrode configuration and position, tasks used in sEMG data collection, outcome measure, and normalization procedures. Five studies showed relatively high m-CADE scores, which were indicative of "suggestive validity and compelling importance". Two studies were rated as "suggestive validity and importance", while two remaining studies were rated as "less suggestive or equivocal validity and importance". Conclusions The review found a moderate level of evidence that sEMG can be a potentially useful tool with diagnostic value in identifying muscle tension dysphonia. However, evidence is not yet available to determine the diagnostic accuracy of sEMG for muscle tension dysphonia. More studies are needed, and it is recommended that future studies involving sEMG and reference measurements should be undertaken using a blinding procedure in order to control any subjective biases. Details of the population that the sEMG has been tested on should be outlined clearly so that spectrum bias could be eliminated or minimized in the application process. Furthermore, it is suggested that a reliable and valid protocol in collecting sEMG data during speech should be developed to minimize the variability of sEMG measures in assessing muscle activities during speech.
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Literature evidences the use of varied methods such as visual examination of the larynx, laryngeal palpation, auditory-perceptual evaluation of voice, acoustic evaluation of voice, and measurement of aerodynamic measures of voice for the clinical diagnosis of MTD.
“literature [7,8] evidences the use of varied methods such as visual examination of the larynx, laryngeal palpation, auditory-perceptual evaluation of voice, acoustic evaluation of voice, measurement of aerodynamic measures of voice for the clinical diagnosis of MTD.”
From Correlation of Multiple Measures of Voice Evaluation Among Individuals with Muscle Tension Dysphonia: An Exploratory Study (2024) · cites this paper as [8]
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Cochrane Handbook for Systematic Reviews of Interventions
Higgins, J. P. T., Green, S., & Ben Van Den, A. (2020) · International Coaching Psychology Review · doi:10.53841/bpsicpr.2020.15.2.123 · Cited by 5,670
The Use of Surface Electromyography in Biomechanics
Luca, C. J. D. (1997) · Journal of Applied Biomechanics · doi:10.1123/jab.13.2.135 · Cited by 3,382
The PICO strategy for the research question construction and evidence search
Santos, C. M. D. C., Pimenta, C. A. D. M., & Nobre, M. R. C. (2007) · Revista Latino-Americana de Enfermagem · doi:10.1590/s0104-11692007000300023 · Cited by 2,342
平野, 実. (1981) · Springer eBooks · Cited by 1,664
Publication bias in meta-analysis: Prevention, assessment and adjustments
Viechtbauer, W. (2007) · Psychometrika · doi:10.1007/s11336-006-1450-y · Cited by 1,508
The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration
Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Moher, D., Rennie, D., de Vet, H. C. W., & Lijmer, J. G. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-1-200301070-00012-w1 · Cited by 1,124
Consensus Auditory-Perceptual Evaluation of Voice: Development of a Standardized Clinical Protocol
Kempster, G. B., Gerratt, B. R., Abbott, K. V., Barkmeier‐Kraemer, J. M., & Hillman, R. E. (2009) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2008/08-0017 · Cited by 1,051
Cram's introduction to surface electromyography
Criswell, E. E. (2011) · Medical Entomology and Zoology · Cited by 730
European recommendations for surface electromyography results of the SENIAM project
Hermens, H. J. (1999) · Cited by 585
The Handbook for Evidence-Based Practice in Communication Disorders
Dollaghan, C. A. (2007) · Cited by 522
Dißelhorst-Klug, C., Schmitz‐Rode, T., & Rau, G. (2008) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2008.08.003 · Cited by 416
Pathophysiology and Treatment of Muscle Tension Dysphonia: A Review of the Current Knowledge
Van Houtte, E., Van Lierde, K., & Claeys, S. (2011) · Journal of Voice · doi:10.1016/j.jvoice.2009.10.009 · Cited by 402
Evidence-Based Clinical Voice Assessment: A Systematic Review
Roy, N., Barkmeier‐Kraemer, J. M., Eadie, T. L., Sivasankar, M. P., Mehta, D. D., Paul, D. R., & Hillman, R. E. (2013) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2012/12-0014 · Cited by 363
Mathieson, L., Hirani, S. P., Epstein, R., Baken, R. J., Wood, G., & Rubin, J. S. (2007) · Journal of Voice · doi:10.1016/j.jvoice.2007.10.002 · Cited by 343
Muscle misuse voice disorders: description and classification
Morrison, M. D., & Rammage, L. A. (1993) · Acta Oto-Laryngologica · doi:10.3109/00016489309135839 · Cited by 319
Falla, D., Dall'Alba, P., Rainoldi, A., Merletti, R., & Jull, G. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00708-8 · Cited by 280
Current and Emerging Concepts in Muscle Tension Dysphonia: A 30-Month Review
Altman, K. W., Atkinson, C., & Lazarus, C. L. (2004) · Journal of Voice · doi:10.1016/j.jvoice.2004.03.007 · Cited by 263
Koufman, J. A., & Blalock, P. D. (1991) · Otolaryngologic Clinics of North America · doi:10.1016/s0030-6665(20)31068-9 · Cited by 246
Roy, N. (2003) · Current Opinion in Otolaryngology & Head and Neck Surgery · doi:10.1097/00020840-200306000-00002 · Cited by 217
Diagnostic criteria in functional dysphonia
Morrison, M. D., Nichol, H., & Rammage, L. (1986) · The Laryngoscope · doi:10.1288/00005537-198601000-00001 · Cited by 210
The prevalence of laryngeal pathology in a treatment‐seeking population with dysphonia
Houtte, E. V., Lierde, K. M. V., D’haeseleer, E., & Claeys, S. (2009) · The Laryngoscope · doi:10.1002/lary.20696 · Cited by 205
Morrison, La, R., Belisle, G. M., Cb, P., & Nichol, H. (1983) · PubMed · Cited by 200
Lasserson, T. J., Thomas, J., & Higgins, J. P. T. (2019) · Wiley eBooks · doi:10.1002/9781119536604.ch1 · Cited by 192
Clinical Voice Disorders: An Interdisciplinary Approach
Murry, T. (1991) · Mayo Clinic Proceedings · doi:10.1016/s0025-6196(12)60529-1 · Cited by 168
Stepp, C. E. (2012) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2011/11-0214 · Cited by 161
Grey Literature and Systematic Reviews
Hopewell, S., Clarke, M. J., & Mallett, S. (2005) · Wiley eBooks · doi:10.1002/0470870168.ch4 · Cited by 141
The Clinical Features of Functional Dysphonia
Sama, A., Carding, P. N., Price, S., Kelly, P. J., & Wilson, J. A. (2001) · The Laryngoscope · doi:10.1097/00005537-200103000-00015 · Cited by 133
Assessment and treatment of musculoskeletal tension in hyperfunctional voice disorders
Roy, N. (2008) · International Journal of Speech-Language Pathology · doi:10.1080/17549500701885577 · Cited by 130
Glottal Aerodynamic Measures in Women With Phonotraumatic and Nonphonotraumatic Vocal Hyperfunction
Espinoza, V. M., Zañartu, M., Stan, J. H. V., Mehta, D. D., & Hillman, R. E. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-s-16-0337 · Cited by 91
Facial muscle activation patterns in healthy male humans: A multi-channel surface EMG study
Schumann, N. P., Bongers, K., Guntinas‐Lichius, O., & Scholle, H. C. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.12.019 · Cited by 87
Surface EMG and Related Measures in Normal and Vocally Hyperfunctional Speakers
Redenbaugh, M. A., & Reich, A. R. (1989) · Journal of Speech and Hearing Disorders · doi:10.1044/jshd.5401.68 · Cited by 86
Role of Surface EMG in Diagnostics and Treatment of Muscle Tension Dysphonia
Boltežar, I. H., Janko, M., & Žargi, M. (1998) · Acta Oto-Laryngologica · doi:10.1080/00016489850183287 · Cited by 85
Behrman, A., Dahl, L. D., Abramson, A. L., & Schutte, H. K. (2003) · Journal of Voice · doi:10.1067/s0892-1997(03)00018-3 · Cited by 83
Rubin, J. S., Lieberman, J., & Harris, T. (2000) · Otolaryngologic Clinics of North America · doi:10.1016/s0030-6665(05)70261-9 · Cited by 81
Quantification and solutions of arm movements effect on sEMG pattern recognition
Liu, J., Zhang, D., Sheng, X., & Zhu, X. (2014) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2014.05.001 · Cited by 80
Aerodynamic Profiles of Women With Muscle Tension Dysphonia/Aphonia
Gillespie, A. I., Gartner‐Schmidt, J. L., Rubinstein, E. N., & Abbott, K. V. (2012) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2012/11-0217 · Cited by 79
An Examination of Surface EMG for the Assessment of Muscle Tension Dysphonia
Houtte, E. V., Claeys, S., D’haeseleer, E., Wuyts, F. L., & Lierde, K. M. V. (2011) · Journal of Voice · doi:10.1016/j.jvoice.2011.06.006 · Cited by 76
Laryngeal Aerodynamic Analysis in Assisting With the Diagnosis of Muscle Tension Dysphonia
Zheng, Y., Zhang, B., Su, W.-Y., Gong, J., Yuan, M., Ding, Y., & Rao, S. (2011) · Journal of Voice · doi:10.1016/j.jvoice.2010.12.001 · Cited by 74
Pattern recognition in muscle misuse voice disorders:How I do it
Morrison, M. D. (1997) · Journal of Voice · doi:10.1016/s0892-1997(97)80031-8 · Cited by 71
Feature Extraction and Classification of Lower Limb Motion Based on sEMG Signals
Shi, X., Qin, P., Zhu, J., Zhai, M., & Shi, W. (2020) · IEEE Access · doi:10.1109/access.2020.3008901 · Cited by 70
Differential diagnosis of muscle tension dysphonia and spasmodic dysphonia
Roy, N. (2010) · Current Opinion in Otolaryngology & Head & Neck Surgery · doi:10.1097/moo.0b013e328339376c · Cited by 60
Stepp, C. E., Heaton, J. T., Braden, M. N., Jetté, M. E., Stadelman-Cohen, T. K., & Hillman, R. E. (2010) · Journal of Voice · doi:10.1016/j.jvoice.2009.08.001 · Cited by 53
The Assessment Methods of Laryngeal Muscle Activity in Muscle Tension Dysphonia: A Review
Khoddami, S. M., Ansari, N. N., Izadi, F., & Talebian, S. (2013) · The Scientific World JOURNAL · doi:10.1155/2013/507397 · Cited by 49
Manual circumlaryngeal techniques in the assessment and treatment of voice disorders
Roy, N., & Bless, D. M. (1998) · Current Opinion in Otolaryngology & Head & Neck Surgery · doi:10.1097/00020840-199806000-00002 · Cited by 47
Review on Laryngeal Palpation Methods in Muscle Tension Dysphonia: Validity and Reliability Issues
Khoddami, S. M., Ansari, N. N., & Jalaie, S. (2015) · Journal of Voice · doi:10.1016/j.jvoice.2014.09.023 · Cited by 47
Jafari, N., Salehi, A., Izadi, F., Talebian, S., Ebadi, A., Dabirmoghaddam, P., Faham, M., & Shahbazi, M. (2016) · Journal of Voice · doi:10.1016/j.jvoice.2016.10.009 · Cited by 46
The Relationship Between Physiological Mechanisms and the Self-Perception of Vocal Effort
McKenna, V. S., Cádiz, M. D., Shembel, A. C., Enos, N. M., & Stepp, C. E. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-s-18-0205 · Cited by 45
Laryngeal muscle responses to mechanical displacement of the thyroid cartilage in humans
Loucks, T. M. J., Poletto, C. J., Saxon, K. G., & Ludlow, C. L. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00402.2004 · Cited by 35
Electrical Activity of Extrinsic Laryngeal Muscles in Subjects With and Without Dysphonia
Balata, P. M. M., da Silva, H. J., Pernambuco, L. D. A., de Amorim, G. O., Braga, R. S., da Silva, E. G. F., de Lima, L. M., & de Moraes, S. R. A. (2014) · Journal of Voice · doi:10.1016/j.jvoice.2014.03.012 · Cited by 32
Modulation of Neck Intermuscular Beta Coherence During Voice and Speech Production
Stepp, C. E., Hillman, R. E., & Heaton, J. T. (2010) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2010/10-0139 · Cited by 28
Muscle Tension Dysphonia: Which Laryngoscopic Features Can We Rely on for Diagnosis?
Garaycochea, O., Alcalde, J. M., del Río, B., & Fernández, S. (2018) · Journal of Voice · doi:10.1016/j.jvoice.2018.04.015 · Cited by 27
Use of surface electromyography in phonation studies: an integrative review
da Silva, H. J., Moraes, K., Pernambuco, L. D. A., Moraes, S., & Balata, P. M. M. (2013) · International Archives of Otorhinolaryngology · doi:10.7162/s1809-977720130003000014 · Cited by 25
Khoddami, S. M., Talebian, S., Izadi, F., & Ansari, N. N. (2016) · Journal of Voice · doi:10.1016/j.jvoice.2016.09.010 · Cited by 23
High‐density surface electromyography: A visualization method of laryngeal muscle activity
Bracken, D. J., Ornelas, G., Coleman, T. P., & Weissbrod, P. A. (2019) · The Laryngoscope · doi:10.1002/lary.27784 · Cited by 20
A Novel Laryngeal Palpatory Scale (LPS) in Patients with Muscle Tension Dysphonia
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Contraction Patterns of Neck Muscles during Phonating by High-Density Surface Electromyography
Zhu, M., Lu, L., Yang, Z., Wang, X., Liu, Z., Wei, W., Chen, F., Li, P., Chen, S., & Li, G. (2018) · IEEE International Conference on Cyborg and Bionic Systems (CBS) · doi:10.1109/cbs.2018.8612181 · Cited by 11
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Metadata
- Authors
- Wang, F., & Yiu, E. M.
- Affiliations
- Shanghai Normal University (CN)
- University of Hong Kong (HK)
- Corresponding author
- Wang, Feifan
- Venue
- Journal of Voice
- Publisher
- Elsevier BV
- Published
- 2024-05
- Volume
- 38
- Issue
- 3
- Pages
- 800.e1-800.e12
- ISSN
- 0892-1997 (ISSN-L)
- OpenAlex
- W4200233694
- Cited by
- 13
- References
- 58
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2
- FWCI
- 0.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Voice (publishedVersion)
- PubMed (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Topics
- Health Sciences › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Respiratory and Cough-Related Research
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- surface electromyography, muscle tension dysphonia, diagnostic accuracy, voice disorders, electrode configuration, spectrum bias
- MeSH terms
- Adult, Aged, Electromyography, Female, Humans, Laryngeal Muscles, Male, Middle Aged, Muscle Tonus, Phonation, Predictive Value of Tests, Voice Quality, Reproducibility of Results, Dysphonia, Young Adult
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