Wireless Personal Communications

, Volume 108, Issue 4, pp 2179–2193 | Cite as

A Mobile Cloud-Based Health Promotion System for Cardiovascular Diseases

  • Chin-Feng LinEmail author
  • Tai-Xiang Lin
  • Chung-I Lin
  • Chung-Cheng Chang


In this paper, we propose a mobile cloud-based health promotion system targeting clinical cardiovascular diseases for use with both the Windows and Android operating systems. The prototype system can provide health promotion recommendations by physicians via so-called mobile cloud-based health promotion. These recommendations are based on users’ own the systolic and diastolic blood pressure (BP), pulse, sleep time, electrocardiogram (ECG), climate, diet, and movement records, utilizing remote video conferences, and asynchronous messaging with users. More specifically, the system integrates cloud-based BP and ECG healthcare module, a remote video technique, a video recording module, a message module, and a cloud-based climate, diet, and movement module. Furthermore, it includes a cloud-based cardiovascular disease electronic bookshelf module to provide healthcare education, as well as a cloud-based health promotion module, which utilizes physicians’ preventive health recommendations. We demonstrate the use of this system for cloud-based health promotion and healthcare procedures for cardiovascular diseases. The system integrated BP and ECG machines, which obtain data on systolic and diastolic BP, pulse, sleep time, and ECG signals, utilize a universal serial bus connection to send these vital signs to a computer, laptop, tablet, or smart phone, from which they are transferred to a health promotion center using Wi-Fi, or third and fourth generations mobile communication technologies. This mobile health promotion system can be used in the self-management of various chronic and cardiovascular diseases, anywhere and anytime. The aims of this system are to improve costs, time, efficiency, health management and monitoring, and quality of care.


Cloud-based health promotion Cardiovascular diseases Cloud-based climate Diet Movement module 



The authors acknowledge the support of the Ministry of Science and Technology in Taiwan, under contract No. MOST 105-2221-E-019-021, the support of the teaching union of the ministry of education for medical electronics in Taiwan, and the valuable comments of the reviewers.


  1. 1.
    Fonda, S. J., Kedziora, R. J., Vigersky, R. A., et al. (2010). Evolution of a web-based, proyotype personal health application for diabetes self-management. Journal of Biomedical Informatics, 43, s17–s21.CrossRefGoogle Scholar
  2. 2.
    Ferguson, G., Quinn, J., Horwitz, C., et al. (2010). Towards a personal health management assistant. Journal of Biomedical Informatics, 43, s13–s16.CrossRefGoogle Scholar
  3. 3.
    He, C., Fan, X., et al. (2013). Towards ubiquitous healthcare services with a novel efficient cloud platform. IEEE Transcations on Biomedical Engineering, 60(1), 230–234.CrossRefGoogle Scholar
  4. 4.
    Lee, S. C., & Chung, W. Y. (2014). A robust wearable u-Healthcare platform in wireless sensor network. Journal of Communications and Networks, 16(4), 465–474.CrossRefGoogle Scholar
  5. 5.
    Donati, M., Benini, A., Fanucci, L., et al. (2014). A flexible ICT platform for domestic healthcare of patients affected by chronic diseases. In Proceeding of IEEE ISMICI conference, IEEE, USA (pp. 1–5).Google Scholar
  6. 6.
    Fico, G., Fioravanti, A., Arredondo, M. T., et al. (2016). Integration of personalized healthcare pathways in an ICT platform for diabetes managements: a small-scale exploratory study. IEEE Journal of Biomedical and Health Informatics, 20(1), 29–38.CrossRefGoogle Scholar
  7. 7.
    Poth, N., Tirunagari, S., & Windridge, D. (2014). Challenges in designing an online healthcare platform for personalised patient analytics. In Proceeding of IEEE CIBD conference, IEEE, USA .Google Scholar
  8. 8.
    Balasubramanian, V., & Stranieri, A. (2014). A scalable cloud platform for active healthcare monitoring applications. In Proceeding of IEEE IC3e conference, IEEE, USA (pp. 93–98).Google Scholar
  9. 9.
    Tseng, K. K., Li, J., & Ye, F.B. (2015). The biomedical educational platform with an ECG case study for healthcare research. In Proceeding of IEEE RVSP conference, IEEE, USA (pp. 134–137).Google Scholar
  10. 10.
    Weng, S. J., Gotcher, D., Wu, H. H., et al. (2016). Cloud image data center for healthcare network in Taiwan. Journal of Medical Systems, 40, 89.CrossRefGoogle Scholar
  11. 11.
    Miranda, J., Cabral, J., & Wagner, S. R. (2016). An open platform for seamless sensor support in healthcare for the Internet of Things. Sensors, 16, 2089.CrossRefGoogle Scholar
  12. 12.
    Pires, P., Mendes, L., Mendes, J., et al. (2016). Integrated e-Healthcare system for elderly support. Cognitive Computation, 8, 368–384.CrossRefGoogle Scholar
  13. 13.
    Lucia, V. A., Melina, B., & Angela, G. P. (2016). Do-it-yourself’ healthcare? Quality of health and healthcare through wearable sensors. Science and Engineering Ethics, 3, 1–18.Google Scholar
  14. 14.
    Jung, E. Y., Kim, J. H., Chung, K. Y., et al. (2013). Home health gateway based healthcare services through U-health platform. Wireless Personal Communications, 73, 207–218.CrossRefGoogle Scholar
  15. 15.
    Lee, T., & Lee, S. H. (2016). Dynamic bio-sensing process design in mobile wellness information system for smart healthcare. Wireless Personal Communications, 86, 201–215.CrossRefGoogle Scholar
  16. 16.
    Ravikumar, N., Metcalfe, N. H., Ravikumar, J., et al. (2016). Smartphone applications for providing ubiquitous healthcare over cloud with the advent of embeddable implants. Wireless Personal Communications, 86, 1439–1446.CrossRefGoogle Scholar
  17. 17.
    Rorís, V. M. A., Gago, J. M. S., Sabucedo, L. A., et al. (2016). An ICT-based platform to monitor protocols in the healthcare environment. Journal of Medical Systems, 40, 225.CrossRefGoogle Scholar
  18. 18.
    Hanen, J., Kechaou, Z., & Ayed, M. B. (2016). An enhanced healthcare system in mobile cloud computing environment. Vietnam Journal of Computer Science, 3, 267–277.CrossRefGoogle Scholar
  19. 19.
    Melillo, P., Orrico, A., Scala, P., et al. (2015). Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients. Journal of Medical Systems, 39, 109.CrossRefGoogle Scholar
  20. 20.
    Díez, I. T., Zapirain, B. G., Coronado, M. L., et al. (2017). A new mHealth app for monitoring and awareness of healthy eating: development and user evaluation by spanish users. Journal of Medical Systems, 41, 109.CrossRefGoogle Scholar
  21. 21.
    Kabashiki, I. R. (2015). Mobile health improves healthcare delivery. In S. Adibi (Ed.), Mobile health (pp. 635–661). New York: Springer.Google Scholar
  22. 22.
    Lin, C. F. (2012). Mobile telemedicine: a survey study. Journal of Medical Systems, 36(2), 511–520.CrossRefGoogle Scholar
  23. 23.
    Lin, C. F., Wang, S. E., Lu, Y. C., et al. (2016). Mobile cloud-based blood pressure healthcare for education. In W. Bonney (Ed.), Mobile health technologies-theories and applications (pp. 99–114). Wien: Intech Science Publishers.Google Scholar
  24. 24.
    Wu, S. M., Lin, C. F., Liu, C. C., et al. (2017). Cellular and iridium network based blood pressure measurement scheme for mobile healthcare education. In S. C. Thomas (Ed.), Horizons in computer science research (Vol. 13, pp. 195–210). New York: Nova Science Publishers.Google Scholar
  25. 25.
    HealthMI, Accessed 9 May 2019
  26. 26.
    Microlife corporation, Accessed 9 May 2019
  27. 27.
    Revlis Biotech Company Limited, Accessed 9 May 2019
  28. 28.
    Skype, Accessed 9 May 2019
  29. 29.
    HyperCam, Accessed 9 May 2019
  30. 30.
    LINE, Accessed 9 May 2019

Copyright information

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

Authors and Affiliations

  • Chin-Feng Lin
    • 1
    Email author
  • Tai-Xiang Lin
    • 1
  • Chung-I Lin
    • 2
  • Chung-Cheng Chang
    • 1
  1. 1.Department of Electrical EngineeringNational Taiwan Ocean UniversityKeelung CityTaiwan, ROC
  2. 2.Health Center of GongliaoNew Taipei CityTaiwan, ROC

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