Skip to main content

Prescribe and Monitor Physical Activity Through a Community-Based eHealth Program: MOVIDA Platform

  • 2137 Accesses

Part of the IFMBE Proceedings book series (IFMBE,volume 73)


Modern portable devices (e.g. wearables) provide technical support to record physical activity, which can assist various purposes, ranging from geolocation, step count, body temperature and biomedical parameters among others. These technological advances, the increase of literacy in health and also in informatics placed the smartphone and its massive use in the center of a new paradigm of monitoring physical activity. When combining these functionalities with the ability to communicate with remote entities, then it is possible to expand the use of smartphones, not only to monitoring physical activity but also to promote widespread adherence to physical activity programs. This paper presents the conceptual framework of a global health community program centered on a mobile application and a dedicated backoffice web application to perform physical activity prescription and supervision based on dashboards. The MOVIDA platform is comprised of 4 main modules, targeting different groups of the population. This platform enables exercise prescription, monitoring of user’s performance and adherence in metabolic diseases patients by MOVIDA.cronos, to specify and follow a cardiac rehabilitation program by MOVIDA.eros, to track and quantify indoor movements by MOVIDA.domus, and also access to a stratified training circuit, for maintaining or improve fitness level by MOVIDA.polis. In addition, this work reports the project main challenges from the conceptual phase of the technological platform to its development and implementation. This work can be useful for those who are starting a project with the same type of characteristics: multicentric, interdisciplinary and involving several partners in the community.


  • Mobile app
  • Mobile computing
  • Physical activity monitoring
  • Health and Well-Being
  • Technologies for life quality

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions


  1. WHO World Health Assembly 58 (2005) Resolution WHA 58.28 on eHealth

    Google Scholar 

  2. Bates, D.W., Saria, S., Ohno-Machado, L., Shah, A., Escobar, G.: Big data in healthcare: using analytics to identify and manage high-risk and high-cost patients. Health Aff. 33(7), 1123–1131 (2014)

    CrossRef  Google Scholar 

  3. Hamine, S., Gerth-Guyette, E., Faulx, D., Green, B.B., Ginsburg, A.S.: Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J. Med. Internet Res. 17(2) (2015)

    CrossRef  Google Scholar 

  4. Black, A., Car, J., Pagliari, C., Anandan, C., Cresswell, K., Bokun, T., McKinstry, V., Procter, R., Majeed, A., Sheikh, A.: The impact of ehealth on the quality and safety of health care: a systematic overview. PLoS Med. 8(1), e1000387 (2008)

    CrossRef  Google Scholar 

  5. Alexander, G., Staggers, N.: A systematic review of the designs of clinical technology: findings and recommendations for future research. ANS Adv Nurs Sci. 32(3), 252–279 (2009)

    CrossRef  Google Scholar 

  6. Adeyi, O., Smith, O., Robles, S.: Public policy and the challenge of chronic noncommunicable diseases. The World Bank, Washington, DC (2007)

    CrossRef  Google Scholar 

  7. WHO.: The global burden of disease: 2004 update. Geneva: World Health Organization (2008b)

    Google Scholar 

  8. Schuler, G., Adams, V., Goto, Y.: Role of exercise in the prevention of cardiovascular disease: results, mechanisms, and new perspectives. Eur. Heart J. 34(24), 1790–1799 (2013)

    CrossRef  Google Scholar 

  9. American Diabetes Association: 4. lifestyle management: standards of medical care in diabetes—2018. Diabetes Care 41(Supplement 1), S38–S50 (2018)

    CrossRef  Google Scholar 

  10. Witt, B.J., Jacobsen, S.J., Weston, S.A., et al.: Cardiac rehabilitation after myocardial infarction in the community. J. Am. Coll. Cardiol. 44, 988–996 (2004)

    CrossRef  Google Scholar 

  11. Benjamin, E.J., Blaha, M.J., Chive, S.E., et al.: Heart disease and stroke statistics—2017 update: a report from the American Heart Association. Circulation 135, e146–e603 (2017)

    CrossRef  Google Scholar 

  12. Goldstein, L.B., Adams, R., Alberts, M.J., Appel, L.J., Brass, L.M., Bushnell, C.D., et al.: Primary prevention of ischemic stroke: A guideline from the American heart association/American stroke association stroke council: Cosponsored by the atherosclerotic peripheral vascular disease interdisciplinary working group; cardiovascular nursing council; clinical cardiology council; nutrition, physical activity, and metabolism council; and the quality of care and outcomes research interdisciplinary working group: The American Academy of Neurology affirms the value of this guideline. Stroke, 37(6), 15831633 (2006)

    CrossRef  Google Scholar 

  13. Guidelines for Cardiac Rehabilitation and Secondary Prevention Programs 5th Edition. American Association of Cardiovascular and Pulmonary Rehabilitation. (2013)

    Google Scholar 

  14. Ware, Lisa J., Rennie, Kirsten L., Schutte, Aletta E.: Monitoring physical activity after a cardiovascular event: What is ‘fit’ for purpose? Eur. J. Prev. Cardiol. 25(2), 220–222 (2017)

    CrossRef  Google Scholar 

  15. Warburton, D.E., Nicol, C.W., Bredin, S.S.: Health benefits of physical activity: the evidence. Can. Med. Assoc. J. 174(6), 801–809 (2006)

    CrossRef  Google Scholar 

  16. Gokalp, H., Clarke, M.: Monitoring activities of daily living of the elderly and the potential for its use in telecare and telehealth: a review. Telemed. J. E. Health. 19(12), 910–23 (2013)

    CrossRef  Google Scholar 

  17. Allet, L., Knols, R.H., Shirato, K., de Bruin, E.D.: Wearable systems for monitoring mobilityrelated activities in chronic disease: a systemic review. Sensors 10(10), 9026–9052 (2010)

    CrossRef  Google Scholar 

  18. Lymberopoulos, D., Bamis, A., Savvides, A.: Extracting spatiotemporal human activity patterns in assisted living using a home sensor network. Univ. Access Inf. Soc. 10(2), 125–138 (2011)

    CrossRef  Google Scholar 

Download references


This work was supported by Fundação para a Ciência e Tecnologia FCT- Portugal, under the scope of MOVIDA project: 02/SAICT/2016 – 23878

Author information

Authors and Affiliations


Corresponding author

Correspondence to Rui Fonseca-Pinto .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fonseca-Pinto, R. et al. (2020). Prescribe and Monitor Physical Activity Through a Community-Based eHealth Program: MOVIDA Platform. In: Badnjevic, A., Škrbić, R., Gurbeta Pokvić, L. (eds) CMBEBIH 2019. CMBEBIH 2019. IFMBE Proceedings, vol 73. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17970-0

  • Online ISBN: 978-3-030-17971-7

  • eBook Packages: EngineeringEngineering (R0)