Abstract
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.
Similar content being viewed by others
References
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.
Ferguson, G., Quinn, J., Horwitz, C., et al. (2010). Towards a personal health management assistant. Journal of Biomedical Informatics, 43, s13–s16.
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.
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.
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).
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.
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 .
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).
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).
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.
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.
Pires, P., Mendes, L., Mendes, J., et al. (2016). Integrated e-Healthcare system for elderly support. Cognitive Computation, 8, 368–384.
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.
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.
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.
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.
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.
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.
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.
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.
Kabashiki, I. R. (2015). Mobile health improves healthcare delivery. In S. Adibi (Ed.), Mobile health (pp. 635–661). New York: Springer.
Lin, C. F. (2012). Mobile telemedicine: a survey study. Journal of Medical Systems, 36(2), 511–520.
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.
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.
HealthMI, https://www.healthmi.net/pp5. Accessed 9 May 2019
Microlife corporation, https://www.microlife.com.tw/home2. Accessed 9 May 2019
Revlis Biotech Company Limited, http://www.revlis.com.tw/info.php?types=2&lang=cn. Accessed 9 May 2019
Skype, https://www.skype.com/zh-Hant. Accessed 9 May 2019
HyperCam, https://hypercam.en.softonic.com/?ex=DSK-173.2. Accessed 9 May 2019
LINE, https://line.me/zh-hant. Accessed 9 May 2019
Acknowledgements
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.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Lin, CF., Lin, TX., Lin, CI. et al. A Mobile Cloud-Based Health Promotion System for Cardiovascular Diseases. Wireless Pers Commun 108, 2179–2193 (2019). https://doi.org/10.1007/s11277-019-06516-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-019-06516-6