Comparison of Amplifiers Utilization in Instrumentation to Record Muscle Signals in the Neck for Electrolarynx Applications

Article Sidebar

PDF
Published: Oct 26, 2022
DOI: https://doi.org/10.12962/jaree.v6i2.329

Main Article Content

Muhammad Hilman Fatoni
Institut Teknologi Sepuluh Nopember
http://orcid.org/0000-0002-9875-3013
Nabilah Ashriyah
PT. Aura Lentera Medika
Tri Arief Sardjono
Institut Teknologi Sepuluh Nopember
Mohammad Nuh
Institut Teknologi Sepuluh Nopember

Abstract

Electrolarynx is an assistive technology commonly used by speech impaired people to speak. The speech impaired people who have lost their larynx (laryngectomee) or have damaged larynx use an electrolarynx device to be able to speak again. The use of the electrolarynx is generally equipped with a button to turn on and start the generation of sound from the electrolarynx. Several studies have tried to use other control methods by using the muscles in the neck, namely the sternohyoid muscle. Activation of the sternohyoid muscle has an influence on sound formation. The sternohyoid muscle is a small and long muscle so recording EMG (electromyograph) signals from this muscle is quite difficult. If the recording process of this signal can be carried out properly, then the electrolarynx control by empowering this muscle will be another solution in using the electrolarynx. In this study, instrumentation amplifier which is an important stage of recording EMG signals of neck muscle was tested and compared. There are two types of instrumentation amplifier tested. The first instrumentation amplifier uses a single IC from IC AD620 while the other is a combination circuit of IC OP07. The EMG signal in the subject's neck muscles was then recorded using the instrumentation amplifiers. The subject will sit down and pronounce the vowels "a", and "i". From the testing process, it was found that the average gain on IC AD620 (minimum 1.74362 volts and maximum 3.70538 volts) was greater than the gain on IC OP07 (minimum 0.57779 volts and maximum 1.71190 volts). IC AD620 also has an overall use area of 5.61 cm2 with the use of 4 external components. Thus, it can be concluded that the best instrumentation amplifier for recording EMG neck muscle for electrolarynx application is by using IC AD620.

Article Details

Issue
Vol. 6 No. 2 (2022): October
Section
Articles

Copyright

Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-NC 4.0.

Disclaimer

No responsibility is assumed by publisher and co-publishers, nor by the editors for any injury and/or damage to persons or property as a result of any actual or alleged libelous statements, infringement of intellectual property or privacy rights, or products liability, whether resulting from negligence or otherwise, or from any use or operation of any ideas, instructions, procedures, products or methods contained in the material therein.

 

References

Itzhak Brook, “The Laryngectomee Guide Expanded Edition: Fourth Edition”. 2020.

T. A. Sardjono, R. Hidayati, N. Purnami, A. Noortjahja, G. J. Verkerke and M. H. Purnomo, "A preliminary result of voice spectrum analysis from laryngectomised patients with and without electro larynx: A case study in Indonesian laryngectomised patients," International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009, pp. 1-5, doi: 10.1109/ICICI-BME.2009.5417240.

E. A. Goldstein, J. T. Heaton, J. B. Kobler, G. B. Stanley, and R. E. Hillman, “Design and Implementation of a Hands-Free Electrolarynx Device Controlled by Neck Strap Muscle Electromyographic Activity,” IEEE Trans. Biomed. Eng., vol. 51, no. 2, pp. 325–332, 2004.

F. Arifin, T. A. Sardjono, and M. H. Purnomo, “the Relationship Between Electromyography Signal of Neck Muscle and Human Voice Signal for Controlling Loudness of Electrolarynx,” Biomed. Eng. Appl. Basis Commun., vol. 26, no. 05, p. 1450054, 2014.

F. Ahmadi, M. Araujo Ribeiro, and M. Halaki, “Surface electromyography of neck strap muscles for estimating the intended pitch of a bionic voice source,” IEEE 2014 Biomed. Circuits Syst. Conf. BioCAS 2014 - Proc., pp. 37–40, 2014.

K. Oe, S. Kokushi, and R. Nakamura, “Proposal of new control parameter for neck myoelectric control-type electrolarynx,” MHS 2017 - 28th 2017 Int. Symp. Micro-NanoMechatronics Hum. Sci., vol. 2018-January, pp. 1–2, 2018.

J. Webster, “Elektromyography,” Encycl. Med. devices Instrum., pp. 98–109, 2006.

C. J. De Luca, “Delsys Surface Electromyography: Detection and Recording,” Delsys Inc., vol. 10, no. 2, pp. 1–10, 2002.

H. Tankisi, D. Burke, L. Cui, M. Carvalho, S. Kuwabara, S. D. Nandedkar, S. Rutkove, E. Stålberg, M. J.A.M. van Putten, A. Fuglsang-Frederiksen, "Standards of instrumentation of EMG", Clinical Neurophysiology, Volume 131, Issue 1, pp. 243-258, 2020. https://doi.org/10.1016/j.clinph.2019.07.025.

R. Setiawan, N. F. Hikmah and F. F. Agustina, "Real-Time Delayed Onset Muscle Soreness (DOMS) Detection in High Intensity Interval Training Using Artificial Neural Network," 2022 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2022, pp. 24-29, doi: 10.1109/ISITIA56226.2022.9855209.

L. F. Brosnahan and B. Malmberg, “The Production of Sound in the Vocal Tract,” in Introduction to Phonetics, Cambridge: Cambridge University Press, 1976.

N. F. Hikmah, A. Arifin, T. A. Sardjono and E. A. Suprayitno, "A signal processing framework for multimodal cardiac analysis," 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA), 2015, pp. 125-130, doi: 10.1109/ISITIA.2015.7219966.

van Boxtel, A. “Optimal signal bandwidth for the recording of surface EMG activity of facial, jaw, oral, and neck muscles.” Psychophysiology vol. 38,1 (2001): 22-34.

C. E. Stepp, J. T. Heaton, R. G. Rolland and R. E. Hillman, "Neck and Face Surface Electromyography for Prosthetic Voice Control After Total Laryngectomy," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 17, no. 2, pp. 146-155, April 2009, doi: 10.1109/TNSRE.2009.2017805.

A. K. Fuchs, C. Amon, and M. Hagmüller, “Speech/Non-Speech Detection for Electro-Larynx Speech Using EMG,” in Proceedings of the International Conferenceon Bio-inspired Systems and Signal Processing (BIOSIGNALS-2015), 2015, pp. 138–144.

M. R. Williams and R. F. Kirsch, "Evaluation of Head Orientation and Neck Muscle EMG Signals as Command Inputs to a Human–Computer Interface for Individuals With High Tetraplegia," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 16, no. 5, pp. 485-496, Oct. 2008, doi: 10.1109/TNSRE.2008.2006216.