A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices

Salvatore Naddeo, Laura Verde, Manolo Forastiere, Giuseppe De Pietro, Giovanna Sannino

2017

Abstract

Nowadays the upsurge in the prevalence of chronic diseases represents an increasing burden on individuals and society. Chronic diseases can require repeated and frequent hospital treatment to control vital parameters of interest. The use of automatic instruments for a real-time monitoring of biological parameters constitutes a valid instrument to improve the patient’s quality of life. The integration of mobile communications with wearable devices has facilitated the shift of healthcare assistance from clinic-centric to patient-centric monitoring. In this paper, a real-time monitoring system is proposed. The system is conceptualized to provide an instrument for patients, by means of which they can easily monitor, analyse and save their own vital signs using wearable sensors and an Android device such as a smartphone or tablet, offering an efficient solution in terms of a decrease in time, human error and cost.

References

  1. Al-Taee, M. A., Al-Nuaimy, W., Al-Ataby, A., Muhsin, Z. J., and Abood, S. N. (2015). Mobile health platform for diabetes management based on the internetof-things. In Applied Electrical Engineering and Computing Technologies (AEECT), 2015 IEEE Jordan Conference on, pages 1-5. IEEE.
  2. Anliker, U., Ward, J. A., Lukowicz, P., Troster, G., Dolveck, F., Baer, M., Keita, F., Schenker, E. B., Catarsi, F., Coluccini, L., et al. (2004). Amon: a wearable multiparameter medical monitoring and alert system. IEEE Transactions on information technology in Biomedicine, 8(4):415-427.
  3. Banos, O., Villalonga, C., Damas, M., Gloesekoetter, P., Pomares, H., and Rojas, I. (2014). Physiodroid: Combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring. The Scientific World Journal , 2014.
  4. Bender, D. and Sartipi, K. (2013). Hl7 fhir: An agile and restful approach to healthcare information exchange. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, pages 326-331. IEEE.
  5. Bisio, I., Lavagetto, F., Marchese, M., and Sciarrone, A. (2015). A smartphone-centric platform for remote health monitoring of heart failure. International Journal of Communication Systems, 28(11):1753-1771.
  6. Carroll, R., Cnossen, R., Schnell, M., and Simons, D. (2007). Continua: An interoperable personal healthcare ecosystem. IEEE Pervasive Computing, 6(4):90- 94.
  7. Centro nazionale di epidemiologia, sorveglianza e promozione della salute dell'Istituto superiore di sanità (2016). Il portale dell'epidemiologia per la sanità pubblica. http://www.epicentro.iss.it/focus/cardiovascolare/ cardiovascolari.asp/.
  8. Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., and Campo, E. (2012). Smart wearable systems: Current status and future challenges. Artificial intelligence in medicine, 56(3):137-156.
  9. Chen, H. and Chen, S. (2003). A moving average based filtering system with its application to real-time qrs detection. In Computers in Cardiology, 2003, pages 585-588. IEEE.
  10. Cuomo, S., De Pietro, G., Farina, R., Galletti, A., and Sannino, G. (2016). A revised scheme for real time ecg signal denoising based on recursive filtering. Biomedical Signal Processing and Control, 27:134-144.
  11. Forastiere, M., De Pietro, G., and Sannino, G. (2016). An mhealth application for a personalized monitoring of ones own wellness: Design and development. In Innovation in Medicine and Healthcare 2016, pages 269- 278. Springer.
  12. Gay, V. and Leijdekkers, P. (2007). A health monitoring system using smart phones and wearable sensors. International journal of ARM, 8(2):29-35.
  13. Guo, X., Duan, X., Gao, H., Huang, A., and Jiao, B. (2013). An ecg monitoring and alarming system based on android smart phone. Communications and Network, 5(03):584.
  14. Kakria, P., Tripathi, N., and Kitipawang, P. (2015). A realtime health monitoring system for remote cardiac patients using smartphone and wearable sensors. International journal of telemedicine and applications, 2015.
  15. Kemp, B. and Olivan, J. (2003). European data format plus(edf+), an edf alike standard format for the exchange of physiological data. Clinical Neurophysiology, 114(9):1755-1761.
  16. Konstantas, D. (2007). An overview of wearable and implantable medical sensors. Yearbook of medical informatics, 7(1):66-69.
  17. Lee, J. M., Hirschfeld, E., and Wedding, J. (2016). A patient-designed do-it-yourself mobile technology system for diabetes: Promise and challenges for a new era in medicine. JAMA, 315(14):1447-1448.
  18. Lmberis, A. and Dittmar, A. (2007). Advanced wearable health systems and applications-research and development efforts in the european union. IEEE Engineering in Medicine and Biology Magazine, 26(3):29-33.
  19. Lv, Z., Xia, F., Wu, G., Yao, L., and Chen, Z. (2010). icare: a mobile health monitoring system for the elderly. In Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing, pages 699-705. IEEE Computer Society.
  20. Park, H. S., Cho, H., and Kim, H. S. (2016). Development of a multi-agent m-health application based on various protocols for chronic disease self-management. Journal of medical systems, 40(1):1-14.
  21. Rodrigues, D. F., Horta, E. T., Silva, B. M., Guedes, F. D., and Rodrigues, J. J. (2014). A mobile healthcare solution for ambient assisted living environments. In e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on, pages 170-175. IEEE.
  22. Rubel, P., Fayn, J., Nollo, G., Assanelli, D., Li, B., Restier, L., Adami, S., Arod, S., Atoui, H., Ohlsson, M., et al. (2005). Toward personal ehealth in cardiology. results from the epi-medics telemedicine project. Journal of electrocardiology, 38(4):100-106.
  23. Sanchis-Gomar, F., Perez-Quilis, C., Leischik, R., and Lucia, A. (2016). Epidemiology of coronary heart disease and acute coronary syndrome. Annals of Translational Medicine, 4(13).
  24. Szydlo, T. and Konieczny, M. (2016). Mobile and wearable devices in an open and universal system for remote patient monitoring. Microprocessors and Microsystems, 46:44-54.
  25. Tang, P. C., Ash, J. S., Bates, D. W., Overhage, J. M., and Sands, D. Z. (2006). Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association, 13(2):121-126.
  26. Townsend, N., Wilson, L., Bhatnagar, P., Wickramasinghe, K., Rayner, M., and Nichols, M. (2016). Cardiovascular disease in europe: epidemiological update 2016. European heart journal, page ehw334.
  27. Verde, L., De Pietro, G., Veltri, P., and Sannino, G. (2015). A noise-aware methodology for a mobile voice screening application. In Advances in Sensors and Interfaces (IWASI), 2015 6th IEEE International Workshop on, pages 193-198. IEEE.
  28. Wolf, K.-H., Schirmer, S., Marschollek, M., and Haux, R. (2009). Representing sensor data using the hl7 cda personal healthcare monitoring report draft. In MIE, pages 480-484. Citeseer.
  29. World Health Organization (2016). Chronic diseases and health promotion. http://www.who.int/chp/en/.
Download


Paper Citation


in Harvard Style

Naddeo S., Verde L., Forastiere M., De Pietro G. and Sannino G. (2017). A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 545-552. DOI: 10.5220/0006296105450552


in Bibtex Style

@conference{smartmeddev17,
author={Salvatore Naddeo and Laura Verde and Manolo Forastiere and Giuseppe De Pietro and Giovanna Sannino},
title={A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017)},
year={2017},
pages={545-552},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006296105450552},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017)
TI - A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices
SN - 978-989-758-213-4
AU - Naddeo S.
AU - Verde L.
AU - Forastiere M.
AU - De Pietro G.
AU - Sannino G.
PY - 2017
SP - 545
EP - 552
DO - 10.5220/0006296105450552