Application of Digital Radio Mondiale System in Medical Signal Transmission

  • Min Du
  • Jianwei LuoEmail author
  • Shuping Wang
  • Shan Liu
Systems-Level Quality Improvement
Part of the following topical collections:
  1. Artificial Intelligence Application in Health Informatics


In order to study the application of digital radio mondiale (DRM) broadcasting system in medical signal transmission, taking sinusoidal signal as an example, the transmission format is designed, and the data transmission function of the system channel is verified and applied to the transmission of medical information. Taking the traditional electrocardiogram signal and magnetic resonance image as examples, the two kinds of medical information are successfully transmitted according to the appropriate transmission format. As the simplest and easiest to deploy communication mode, the system will provide the fastest and timeliest information and emergency communication function for disaster relief and rescue, which is a practical and valuable application.


DRM broadcasting system Medical signal Transmission 


Compliance with ethical standards

Conflict of interest

Author Min Du declares that he has no conflict of interest. Author Jianwei Luo declares that he has no conflict of interest. Author Shuping Wang declares that he has no conflict of interest. Author Shan Liu declares that he has no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

This article does not contain any studies with animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.


  1. 1.
    Matias, J. M., Pena, I., Lima, F. F., Hernandez, M. A., Garcia, V., Junior, H. A., and Menezes, A. A., DRM reception results in long-range short wave broadcasting. IEEE Lat. Am. Trans. 14(1):65–71, 2016.CrossRefGoogle Scholar
  2. 2.
    Lee, H., Park, S., Seo, C., and Shin, S. U., DRM cloud framework to support heterogeneous digital rights management systems. Multimed. Tools Appl. 75(22):14089–14109, 2016.CrossRefGoogle Scholar
  3. 3.
    Liu, X., Wang, Z. K., and Deng, Q. X., FPGA implementation of a reconfigurable channelization for simultaneous multichannel DRM30/FM receiver. IEEE Trans. Consum. Electron. 63(1):1–9, 2017.CrossRefGoogle Scholar
  4. 4.
    Moghaddamnia, S., Waal, A., Fuhrwerk, M., Le, C., and Peissig, J., On the efficiency of PAPR reduction schemes deployed for DRM systems. EURASIP J. Wirel. Commun. Netw. 2016(1):255, 2016.CrossRefGoogle Scholar
  5. 5.
    Polak, L., Kaller, O., Klozar, L., Sebesta, J., and Kratochvil, T., Mobile communication networks and digital television broadcasting systems in the same frequency bands: Advanced co-existence scenarios. Radioengineering 23(1):375–386, 2014.Google Scholar
  6. 6.
    Ahmad, H., Soltanian, M. R. K., Amiri, I. S., Alavi, S. E., Othman, A. R., and Supa'at, A. S. M., Carriers generated by mode-locked laser to increase serviceable channels in radio over free space optical systems. IEEE Photonics Journal 7(5):1–12, 2015.CrossRefGoogle Scholar
  7. 7.
    Počta, P., and Beerends, J. G., Subjective and objective assessment of perceived audio quality of current digital audio broadcasting systems and web-casting applications. IEEE Trans. Broadcast. 61(3):407–415, 2015.CrossRefGoogle Scholar
  8. 8.
    Ngo, N. M., Unoki, M., Miyauchi, R., and Suzuki, Y., Data hiding scheme for amplitude modulation radio broadcasting systems. Journal of Information Hiding and Multimedia Signal Processing 5(3):324–341, 2014.Google Scholar
  9. 9.
    Jung, Y. A., Kang, S. J., and You, Y. H., A robust SFO estimation scheme for OFDM-based DRM with non-symmetric distributed pilots. Wirel. Pers. Commun. 88(4):749–760, 2016.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Information Statistics DepartmentHubei Cancer HospitalWuhanChina

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