Arduino-based Digital Advanced Audiometer

Authors

  • Nur Hudha Wijaya Universitas Muhammadiyah Yogyakarta
  • Miftah Ibrahim Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
  • Nishith Shahu Departement of Electrical Engineering, Gujarat Technological University, India
  • Mian Usman Sattar Information Systems, University of Management and Technology, Pakistan.

DOI:

https://doi.org/10.18196/jrc.2257

Keywords:

audiometer, sound, arduino

Abstract

The ear is an organ that is able to detect or recognize sound and also has a lot to play in the balance and position of the body. The ears are organs that are very vulnerable to noise. There are two common causes of hearing loss, namely decreased hearing conduction (hearing loss) and nerve hearing (sensorineural hearing loss). To prevent deafness, hearing control is necessary. Generally to test hearing function is done regularly by the ENT doctor at the hospital. This if done many times is deemed ineffective because it is time consuming and requires relatively expensive costs, therefore an early diagnosis of portable hearing loss is designed that is expected to be able to test independently independently over and over again. This tool is equipped with SD Card data storage, where the results of the data can be consulted by a doctor for further diagnosis. This tool uses an arduino uno R3 control, the frequency generator uses IC XR2206. The highest error is at the frequency of 8000 Hz which is 0.52%, but overall all systems on the device are functioning properly and the error is still within tolerance of 10%. From the results of these data, this tool can be recommended for early diagnosis of hearing function.

Author Biographies

Miftah Ibrahim, Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia

Electrical Engineering

Nishith Shahu, Departement of Electrical Engineering, Gujarat Technological University, India

Electrical Engineering

Mian Usman Sattar, Information Systems, University of Management and Technology, Pakistan.

Information Systems

References

G. Mashevskiy, Y. Sablina, and P. Dubrovina, “Application of Mathematical Modeling for Assessment of Developmental Delays Risk in Young Children whith Hearing Impairments,” in 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 2019, pp. 86–89.

S. Naida, V. Didkovskyi, O. Pavlenko, and N. Naida, “Objective Audiometry Based on the Formula of the Middle Ear Parameter: A New Technique for Researches and Differential Diagnosis of Hearing,” in 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO), 2019, pp. 425–428.

J. H. Christensen and N. H. Pontoppidan, “EVOTION – Big Data Supporting Public Hearing Health Policies,” in 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, vol. 2019-June, pp. 7–8.

W.-H. Liao, P.-C. Li, S. T. Young, Y.-H. Lai, and Y. Tsao, “IOS-based Ear Scale application for Clinical Audiology and Otology Usage,” in 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018, vol. 5, pp. 497–498.

Jong Min Choi, Junil Sohn, Yunseo Ku, and Dongwook Kim, “Smartphone-based self hearing assessment using phonemes,” in 2013 IEEE International Conference on Consumer Electronics (ICCE), 2013, vol. 2017-Janua, pp. 356–357.

R. E. Millman, M. A. Stone, and C.-T. Tan, “Objective neurophysiological assessment for sound quality perception by hearing-impaired listeners,” in 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017, no. December, pp. 803–807.

S. Haimeng, “Algorithm design of artifact removal in the embedded hearing diagnosis system,” in 2015 10th International Conference on Computer Science & Education (ICCSE), 2015, no. Iccse, pp. 651–653.

Jun Deng, Shixiong Chen, Xiaoping Zeng, and Guanglin Li, “Using a Dynamic Tracking Filter to Extract Distortion-Product Otoacoustic Emissions Evoked With Swept-Tone Signals,” IEEE J. Biomed. Heal. Informatics, vol. 18, no. 4, pp. 1186–1195, Jul. 2014.

J. M. Choi, J. Sohn, Y. Ku, D. Kim, and J. Lee, “Phoneme-based self hearing assessment on a smartphone,” IEEE J. Biomed. Heal. Informatics, vol. 17, no. 3, pp. 526–529, 2013.

J. Yao, D. Yao, S. Kim, and G. Givens, “A comprehensive cloud-based remote hearing diagnosis system,” Proc. - IEEE Symp. Comput. Med. Syst., pp. 493–496, 2013.

J. Sohn, D. Kim, Y. Ku, K. Lee, and J. Lee, “Study on self hearing assessment using speech sounds,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, no. 1, pp. 2384–2387, 2011.

Hyung Wook Noh, Tak Hyung Lee, Jong Wook Kim, Dong In Yang, Eun Jong Cha, and Deok Won Kim, “Development of a portable A-ABR screener using a microprocessor,” in 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, no. c, pp. 915–918.

Jianchu Yao, Yongbo Wan, and G. Givens, “Design of a web services based system for remote hearing diagnosis,” in 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, pp. 5215–5218.

M. Gargouri, M. Chaoui, and P. Wira, “Development of hearing self-assessment pure tone audiometer,” in 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS), 2020, pp. 1–5.

C. Sun, Y. Liu, and X. Wang, “An Automated Hearing Test Equipment Based on Active Noise Control Technology,” in 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019, vol. 2019-May, pp. 1–5.

M. Gargouri, M. Chaoui, and A. Kachouri, “Conception of a Software Pure Tone Audiometer Application,” in 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD), 2018, pp. 619–622.

E. Elbasi, D. K. Ayanoglu, and A. Zreikat, “Determination of Patient’s Hearing Sensitivity using Data Mining Techniques,” in 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), 2018, pp. 1–6.

R. Rani and H. T. Patil, “Portable audiometer for detecting hearing disorder at an early stage for cancer patient,” in 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016, pp. 119–123.

G. M. C. Sanchez, F. J. G. Funes, and M. en C. I. G. Cosme Cisneros, “Audiometer controlled by brain waves,” in 2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW), 2016, no. June, pp. 1–4.

Y. Isler and Y. O. Uzun, “Audiometer device design with integration to different sources,” in 2016 Medical Technologies National Congress (TIPTEKNO), 2016, pp. 1–4.

Daoyuan Yao, G. Givens, and J. Yao, “Using wireless telecommunication technology to promote tele-audiology,” in 2013 Wireless Telecommunications Symposium (WTS), 2013, pp. 1–4.

J. Yao, D. Yao, S. Kim, and G. Givens, “A comprehensive cloud-based remote hearing diagnosis system,” in Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, pp. 493–496.

S. Rajkumar, S. Muttan, and B. Pillai, “Adaptive expert system for audiologists,” in 2011 International Conference on Communications and Signal Processing, 2011, pp. 305–309.

P. Megantoro, A. Widjanarko, R. Rahim, K. Kunal, and A. Z. Arfianto, “The Design of Digital Liquid Density Meter Based on Arduino,” J. Robot. Control, vol. 1, no. 1, pp. 1–6, 2020.

H. Zhang, G. Li, and Y. Li, “A Home Environment Monitoring Design on Arduino,” in 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2018, pp. 53–56.

G. Wiranto, I. D. P. Hermida, A. Fatah, and Waslaluddin, “Design and realisation of a turbidimeter using TSL250 photodetector and Arduino microcontroller,” in 2016 IEEE International Conference on Semiconductor Electronics (ICSE), 2016, vol. 2016-Septe, pp. 324–327.

Y. K. Taru and A. Karwankar, “Water monitoring system using arduino with labview,” in 2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017, vol. 2018-Janua, no. Iccmc, pp. 416–419.

M. W. Hariyanto, A. H. Hendrawan, and R. Ritzkal, “Monitoring the Environmental Temperature of the Arduino Assistance Engineering Faculty Using Telegram,” J. Robot. Control, vol. 1, no. 3, pp. 96–101, 2020.

P. W. Digarse and S. L. Patil, “Arduino UNO and GSM based wireless health monitoring system for patients,” in 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), 2017, vol. 2018-Janua, pp. 583–588.

R. Waswani, A. Pawar, M. Deore, and R. Patel, “Induction motor fault detection, protection and speed control using arduino,” in 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017, vol. 2018-Janua, pp. 1–5.

Downloads

Published

2021-03-19

Issue

Vol. 2 No. 2 (2021): March

Section

Articles

License

Authors who publish with this journal agree to the following terms: 

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

This journal is based on the work at https://journal.umy.ac.id/index.php/jrc under license from Creative Commons Attribution-ShareAlike 4.0 International License. You are free to:

  1. Share – copy and redistribute the material in any medium or format.
  2. Adapt – remix, transform, and build upon the material for any purpose, even comercially.

The licensor cannot revoke these freedoms as long as you follow the license terms, which include the following:

  1. Attribution. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. ShareAlike. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  3. No additional restrictions. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

 

• Creative Commons Attribution-ShareAlike (CC BY-SA)

Creative Commons License
JRC is licensed under an International License