Abstract
In medical applications, most of the patients are remotely monitored to eliminate the risk of being infected from the healthcare facilities. The process of remotely monitoring patients involves placing several body sensor networks on the patient’s body to collect their health details. The collected information is transmitted via the wireless communication process that must be of a high quality. Hence, this paper investigated antenna S11 variation (AS11V) with harmonic suppression to improve the communication process in medical applications. In this research, the antenna was placed on a 2- to 4-mm thickness belt, 15 to 300 mm body thickness, and 40 to 50 dielectric constants. In addition, 3-short pin resonators were used in the harmonic suppression process aid in reducing the unnecessary harmonics in the communication process. Optimized recurrent neural networks (ORNN) were then used to process the wearable antenna–based collected devices. This in return helped in determining how effectively the gathered data helps in the medical analysis. The efficiency of the wireless antenna–based communication process was then evaluated using simulation results, and the ORNN approach showed 99.17% accuracy using the collected and validated data.
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Subramani, P., Al-Turjman, F., Kumar, R. et al. Improving medical communication process using recurrent networks and wearable antenna s11 variation with harmonic suppressions. Pers Ubiquit Comput 27, 1271–1283 (2023). https://doi.org/10.1007/s00779-021-01526-3
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DOI: https://doi.org/10.1007/s00779-021-01526-3