Open Access

Comparing the Performance of a Novel-BCI-Based Headset with a Conventional Hearing Aid While Watching TV

D. K. Nagarathi, kaavya_naga@yahoo.com
Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Chennai, TN, India
V. Ramya, Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Chennai, TN, India Latha Parthiban Department of Computer Science, Community College, Pondicherry University, Lawspet, Pondicherry, India


J. Environ. Nanotechnol., Volume 13, No 2 (2024) pp. 436-443

https://doi.org/10.13074/jent.06.242579

PDF


Abstract

Nowadays, TV viewership and watching time are increasing rapidly. Many organizations now allow employees to watch the news in the recreation hall during official hours to stay updated. This investigation focuses on the comparison of nano-porous membrane sensitivity-loss compensation (support for hearing) with a novel brain-computer interface (BCI)-based hearing headset, while watching television. The hearing headset has a thought-based navigation of the hearing volume of the opponent’s voice.  The hearing aid is already chosen based on the audiometry test.  The novel BCI-based hearing headset provides a supplement of voice to one ear at a time similar to a hearing aid. Twenty impaired people were tested using both a hearing aid and BCI-based hearing headset and their responses were noted. Questions were asked individually in between watching TV. The responses were recorded in terms of percentage. The number of patients per group was predicted at a ‘G’ power of 80%. The results revealed that users with a novel BCI-based hearing headset outperformed those with a regular hearing aid. A statistical significance of < 0.001 was obtained while comparing the two categories. The proposed novel BCI-based hearing headset improved the membrane sensitivity-loss compensation performance of listening by 18.25% more than with the use of a regular hearing aid.

Full Text

Reference


Acuña, K., Sapahia, R., Jiménez, I. N., Antonietti, M., Anzola, I., Cruz, M. and DeBuc, D. C., (2024). Func-tional Near-Infrared Spectrometry as a Useful Diag-nostic Tool for Understanding the Visual System: A Review, J. Clin. Med., 13(1), 282 (2024)

https://doi.org/10.3390/jcm13010282

Ahmadian, P., Cagnoni, S. and Ascari, L., How capable is non-invasive EEG data of predicting the next movement? A mini review, Front. hum. neurosci., 7, 124 (2013)

https://doi.org/10.3389/fnhum.2013.00124

Alkaff, Z. A., Malim, N. H. A. H., Sumari, P. and Abdul-lah, J. M., Applications of Brain Computer Interface in Present Healthcare Setting, (2024)

https://doi.org/10.5772/intechopen.112353

Araújo, J., Simons, B. D. and Goswami, U., Remediating phonological deficits in dyslexia with brain-computer interfaces, In Brain-Computer Interface Research: A State-of-the-Art Summary, 11, 13-19 (2024). Cham: Springer Nature Switzerland

https://doi.org/10.1007/978-3-031-49457-4_2

Belkacem, A. N., Nishio, S., Suzuki, T., Ishiguro, H. and Hirata, M., Neuromagnetic decoding of simultane-ous bilateral hand movements for multidimensional brain–machine interfaces, IEEE Trans. Neural Syst. Rehabil. Eng., 26(6), 1301-1310 (2018)

https://doi.org/10.1109/TNSRE.2018.2837003

Belkacem, A. N., Saetia, S., Zintus-Art, K., Shin, D., Kambara, H., Yoshimura, N. and Koike, Y., Real‐Time Control of a Video Game Using Eye Move-ments and Two Temporal EEG Sensors, Comput. In-tell. Neurosci., 2015(1), 653639 (2015)

https://doi.org/10.1155/2015/653639

Calhoun, V. D., Amin, M. F., Hjelm, D., Damaraju, E. and Plis, S. M., A deep-learning approach to trans-late between brain structure and functional connec-tivity, IEEE Int. Trans. Acoust., Speech, Signal. Pro. (ICASSP), 6155-6159 (2017)

https://doi.org/10.1109/ICASSP.2017.7953339

Caria, A., Weber, C., Brötz, D., Ramos, A., Ticini, L. F., Gharabaghi, A. and Birbaumer, N., Chronic stroke recovery after combined BCI training and physio-therapy: a case report, Psychophysiology, 48(4), 578-582 (2011).

https://doi.org/10.1111/j.1469-8986.2010.01117.x

Hartley, D., Rochtchina, E., Newall, P., Golding, M. and Mitchell, P., Use of hearing aids and assistive listen-ing devices in an older Australian population, J Am Acad Audiol., 21(10), 642-653 (2010)

https://doi.org/10.3766/jaaa.21.10.4.

Falk, T. H., Guger, C. and Volosyak, I., Brain–computer interfaces: recent advances, challenges, and future directions, Handbook of Hum. Mach. Syst., 11-22 (2023).

https://doi.org/10.1002/9781119863663.ch2

Gordon-Salant, S. and Callahan, J. S., The benefits of hearing aids and closed captioning for television viewing by older adults with hearing loss, Ear and Hear., 30(4), 458-465 (2009)

https://doi.org/10.1097/AUD.0b013e3181a26ef4

Guger, C., Ince, N. F., Korostenskaja, M. and Allison, B. Z., Brain-Computer Interface Research: A State-of-the-Art Summary 11, In Brain-Computer Interface Research: A State-of-the-Art Summary, 11, 1-11 (2024). Cham: Springer Nature Switzerland

https://doi.org/10.1007/978-3-031-49457-4_1

Guger, C., Rezvani, S., Ince, N. F., Korostenskaja, M. and Allison, B. Z., A Summary of the 2022 BCI Award with Discussion of BCI Trends, In Brain-Computer Interface Research: A State-of-the-Art Summary, 11, 141-148 (2024).

https://doi.org/10.1007/978-3-031-49457-4_13.

Huo, C., Xu, G., Xie, H., Chen, T., Shao, G., Wang, J. and Li, Z., Functional near-infrared spectroscopy in non-invasive neuromodulation, Neural Regen. Res., 19(7), 1517-1522 (2024)

https://doi.org/10.4103/1673-5374.387970

Jerger, J., Chmiel, R., Florin, E., Pirozzolo, F. and Wilson, N., Comparison of conventional amplification and an assistive listening device in elderly persons. Ear and hear., 17(6), 490-504 (1996).

Lal, T., Hinterberger, T., Widman, G., Schröder, M., Hill, N., Rosenstiel, W. and Schölkopf, B., Methods to-wards invasive human brain computer interfac-es, Adv. Neural Inf. Process. Syst., 17 (2004).

Lekova, A. K., Tsvetkova, P. and Andreeva, A., En-hancing Brain Health and Cognitive Development Through Sensorimotor Play in Virtual Reality: Un-covering the Neural Correlates, Int. J. Games Soc. Impact, 2(1), 46-70 (2024)

https://www.doi.org/10.24140/ijgsi.v2.n1.03

Liu, S., Wang, L. and Gao, R. X., Cognitive neurosci-ence and robotics: Advancements and future re-search directions, Robot. Comput. Integr. Man-uf., 85, 102610 (2024).

https://doi.org/10.1016/j.rcim.2023.102610.

Maiseli, B., Abdalla, A. T., Massawe, L. V., Mbise, M., Mkocha, K., Nassor, N. A. and Kimambo, S., Brain–computer interface: trend, challenges, and threats, Brain Inform., 10(1), 20 (2023)

https://doi.org/10.1186/s40708-023-00199-3

McFarland, D. J. and Wolpaw, J. R., Brain-computer interfaces for communication and control, Com. ACM., 54(5), 60-66 (2011)

https://doi.org/10.1145/1941487.1941506

Munavalli, J. R., Sankpal, P. R., Sumathi, A. Oli, J. M., Introduction to Brain–Computer Interface: Applica-tions and Challenges, Brain‐Computer Interface: Using Deep Learning Applications, 1-24 (2023)

https://doi.org/10.1002/9781119857655.ch1

Nielsen., The total audience report Q1, 2017, The Niel-sen Company (US), LLC., New York, NY. (2017).

Okorokova, E. V., Sobinov, A. R., Downey, J. E., He, Q., van Driesche, A., Satzer, D. and Bensmaia, S. J., May the Force Be with You: Biomimetic Grasp Force Decoding for Brain Controlled Bionic Hands, In Brain-Computer Interface Research: A State-of-the-Art Summary 11, 109-121 (2024).

https://doi.org/10.1007/978-3-031-49457-4_11

Romine, C. B. and Reynolds, C. R., Sequential memory: a developmental perspective on its rela-tion to frontal lobe functioning, Neuropsychol. Rev., 14, 43-64 (2004)

https://doi.org/10.1023/B:NERV.0000026648.94811.32

Sancho-Aldridge, J. and Davis, A., The impact of hear-ing impairment on television viewing in the UK, Br. J. Audiol., 27(3), 163-173 (1993)

https://doi.org/10.3109/03005369309076690

Schalk, G., McFarland, D. J., Hinterberger, T., Birbaumer, N. and Wolpaw, J. R., BCI2000: a gen-eral-purpose brain-computer interface (BCI) sys-tem. IEEE Trans. Biomed. Eng., 51(6), 1034-1043 (2004).

https://doi.org/10.1109/TBME.2004.827072

Schalk, G. and Allison, B. Z., Noninvasive brain–computer interfaces, In Neuromodulation, 357-377 (2018).

https://doi.org/10.1016/B978-0-12-805353-9.00026-7

Sendelbaugh, J. W., Television viewing habits of hear-ing-impaired teenagers in the Chicago metropolitan area, Am. Ann. Deaf, 536-541 (1978).

http://www.jstor.org/stable/44399792

Tao, Q., Chao, H., Fang, D. and Dou, D., Progress in neurorehabilitation research and the support by the National Natural Science Foundation of China from 2010 to 2022, Neural Regen. Res., 19(1), 226-232 (2024).

https://doi.org/10.4103/1673-5374.375342

Woodman, G. F., A brief introduction to the use of event-related potentials in studies of perception and attention, Atten. Percept. Psychophys., 72, 2031-2046 (2010).

https://doi.org/10.3758/BF03196680

Kumar, Y., Kumar, J. and Sheoran, P., Integration of cloud computing in BCI: A reviewBiomed. Signal Process. Control., 87, 105548 (2024)

https://doi.org/10.1016/j.bspc.2023.105548

Mansouri, S., Application of Neural Networks in the Medical Field, Journal of Wireless Mobile Net-works, Ubiquitous Computing, and Dependable Applications, 14(1), 69-81 (2023)

https://doi.org/10.58346/JOWUA.2023.I1.006

Ilić, P., Nešković Markić, D. and Stojanović Bjelić, L., Measuring and Mapping Noise Pollution in the City of Banja LUKA, Archives for Technical Sciences, 1(18), 89–96 (2018)

https://doi.org/10.7251/afts.2018.1018.089I

Sargunapathi, R., Vinayagamoorthy, P., Sumathi, P. and Sirajunissa Begum, S., Mapping of Scientific Articles on Brain Tumors: A Scientometric Study, Indian Journal of Information Sources and Ser-vices, 10(2), 26–34 (2020)

https://doi.org/10.51983/ijiss.2020.10.2.490

Dülger, G. and Dülger, B., Antibacterial Activity of Sta-chys sylvatica Against Some Human Eye Patho-gens, Natural and Engineering Sciences, 7(2), 131-135 (2022).

https://doi.org/10.28978/nesciences.1159224

Kadhim, A. A., Mohammed, S. J. and Al-Gayem, Q., Digital Video Broadcasting T2 Lite Performance Evaluation Based on Rotated Constellation Rates, Journal of Internet Services and Information Securi-ty, 13(3), 127-137 (2023)

https://doi.org/10.58346/JISIS.2023.I4.009

Contact Us

Powered by

Powered by OJS