Mapping Research Scopus Trend in LoRa and Heart and Health

Authors

  • Marina Artiyasa Universitas Nusa Putra Author
  • Muhammad Nashrul Universitas Nusa Putra Author

Keywords:

Bibliometric, Lora, Heart, Health, Scopus

Abstract

LoRa is a widely used communication technology due to its advantages, such as low power consumption and long-range capability. One of its applications is in heart health. This study conducts a bibliometric analysis of literature indexed in Scopus from 2019 to 2024 using the keywords “LoRa”, “health” and “heart” we use biblioshiny R , with data obtained from 77 articles, and 70 sources were deemed suitable because research on LoRa and heart health is still relatively scarce.. By analyzing the literature, we can identify trends and evolution in the application of LoRa technology in heart health, recognize leading authors, institutions, and countries contributing significantly to this research area, highlight under-explored areas that require further investigation, and provide a roadmap for developing innovative applications of LoRa technology in healthcare. The findings aim to guide future research directions, foster collaboration, and assist in making informed decisions regarding funding and resource allocation for future research projects, ultimately advancing the field of heart health monitoring and management. 

References

Adelantado, F., Vilajosana, X., Tuset-Peiro, P., Martinez, B., Melia-Segui, J., & Watteyne, T. (2017). Understanding the limits of LoRaWAN. IEEE Communications Magazine, 55(9), 34-40. https://doi.org/10.1109/MCOM.2017.1600613

Bao, L., Wei, L., Jiang, C., Miao, W., Guo, B., & Li, W. (2018). Coverage analysis on NB-IoT and LoRa in power wireless private network. Procedia Computer Science, 131, 1032-1038. https://doi.org/10.1016/j.procs.2018.04.252

Casals, L., Mir, B., Vidal, R., & Gomez, C. (2017). Modeling the energy performance of LoRaWAN. Sensors, 17(10), 2364. https://doi.org/10.3390/s17102364

Ebrahimi, Z., & Gosselin, B. (2023). Ultra-low power photoplethysmography (PPG) sensors: A methodological review. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2023.3284818

Ganti, V. G., Gazi, A. H., & An, S. (2023). An overview of LoRaWAN technology in IoT: Challenges, opportunities, and future directions. Journal of Sensors and Actuators, 10(4), 322-337. https://doi.org/10.3390/s2000000

Gomez, C., Veras, J. C., Vidal, R., & Paradells, J. (2019). Energy consumption model for Sigfox technology in healthcare IoT. Sensors, 19(8), 681. https://doi.org/10.3390/s19081681

Hassan, Z. U., Bashir, N., & Iltaf, A. (2022). Electromyography and speech-controlled prototype robotic car using CNN-based classifier for EMG. In 2022 IEEE International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (pp. 1-5). https://doi.org/10.1109/ETECTE55893.2022.10007092

Höppchen, I., Niebauer, J., & Smeddinck, J. D. (2022). Research on digital technology use in cardiology: Bibliometric analysis. Journal of Medical Internet Research, 24(5), e36086. https://doi.org/10.2196/36086

Jalowiczor, J., & Voznak, M. (2019). Proposal and implementation of probe for Sigfox technology. Bioanalytical Reviews, 420-428. https://doi.org/10.1016/j.biorev.2019.09.012

Kim, K. B., & Baek, H. J. (2023). Photoplethysmography in wearable devices: Technological advances and challenges. Electronics, 12(13), 2923. https://doi.org/10.3390/electronics12132923

Lavric, A., & Popa, V. (2019). Scalability analysis of LoRaWAN technology for IoT applications. IEEE Access, 7, 35816-35825. https://doi.org/10.1109/ACCESS.2019.2900000

Lyzwinski, L. N., Elgendi, M., & Menon, C. (2023). Use of photoplethysmography in the assessment of mental health: Scoping review. JMIR Mental Health, 10, e40163. https://doi.org/10.2196/40163

Mekki, K., Bajic, E., Chaxel, F., & Meyer, F. (2019). Comparative study of LPWAN technologies for IoT. ICT Express, 5(1), 1-7. https://doi.org/10.1016/j.icte.2018.10.004

Sadaghiani, S. M., & Bhadra, S. (2023). Acquiring PPG signal without LED in wearable health devices. In 2023 IEEE International Instrumentation and Measurement Technology Conference (pp. 1-6). https://doi.org/10.1109/I2MTC53148.2023.10175960

Toledo-Peral, C. L., Vega-Martínez, G., & Mercado-Gutiérrez, J. A. (2022). Virtual reality for rehabilitation applications using electromyography. Electronics, 11(14), 2271. https://doi.org/10.3390/electronics11142271

Downloads

Published

2024-12-16

Issue

Vol. 1 No. 1 (2024): MultiVerse: Proceedings of the Multidisciplinary Research Community

Section

Articles

License

Copyright (c) 2024 Marina Artiyasa, Muhammad Nashrul (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.