Skip to main content

mHealth: Smart Wearable Devices and the Challenges of a Refractory Context

  • Chapter
  • First Online:
The Internet and Health in Brazil

Abstract

The development of smart wearable devices has strengthened a new area: mHealth. This is characterized by the use of mobile technologies for the diagnosis, monitoring, and intervention of health conditions. When inserted into the wider universe comprising the Internet of Things, mHealth solutions emerge with real-world applications. The myriad of mHealth-based applications already draws a scenario in which these new technologies will be responsible for changing the current logic of healthcare delivery. Nevertheless, there are numerous challenges for mHealth before its full potential can be realized. The Brazilian context is marked by peculiarities regarding the challenges for the dissemination of mHealth. There are few professionals, resistance to adopting new health technologies, an inexistent regulatory framework, regional inequalities, the absence of guidelines for protecting personal data, and difficulty associated with communication networks. Such aspects are discussed throughout this work together with components relating to the current status of development linked to mHealth.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
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
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Notes

  1. 1.

    This aspect is also discussed in Chap. 21, which addresses the topic of the Internet of Things (IoT) applied to health in Brazil.

  2. 2.

    Welltok, Inc.: https://welltok.com/analytic_services/.

  3. 3.

    Hekima: http://www.hekima.com/.

  4. 4.

    Piron: https://piron.co/.

  5. 5.

    All system acronyms are in Portuguese.

  6. 6.

    Bragi: https://www.bragi.com/.

  7. 7.

    Europe’s rate was 3.3 in 2014 (WHO 2015).

References

  • Adibi, Sasan. 2015. Mhealth: Multidisciplinary verticals. Boca Raton: CRC Press.

    Google Scholar 

  • Alharbi, Muaddi, Adrian Bauman, Lis Neubeck, and Robyn Gallagher. 2016. Validation of Fitbit-Flex as a measure of free-living physical activity in a community-based phase III cardiac rehabilitation population. European Journal of Preventive Cardiology 23: 1476–1485.

    Article  Google Scholar 

  • Ali, Anwaar, Junaid Qadir, Raihan ur Rasool, Arjuna Sathiaseelan, Andrej Zwitter, and Jon Crowcroft. 2016. Big data for development: Applications and techniques. Big Data Analytics 1: 2.

    Article  Google Scholar 

  • Anliker, Urs, Jamie A. Ward, Paul Lukowicz, Gerhard Tröster, et al. 2004. AMON: A wearable multiparameter medical monitoring and alert system. IEEE Transactions on Information Technology in Biomedicine 8: 415–427.

    Article  Google Scholar 

  • Appelboom, Geoff, Elvis Camacho, Mickey E. Abraham, Samuel S. Bruce, Emmanuel Dumont, et al. 2014. Smart wearable body sensors for patient self-assessment and monitoring. Archives of Public Health 72: 28.

    Google Scholar 

  • Ashton, Kevin. 2009. In the real world, things matter more than ideas. RFID Journal. http://www.rfidjournal.com/articles/pdf?4986. Accessed 9 May 2018.

  • Belle, Ashwin, Raghuram Thiagarajan, S.M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, and Kayvan Najaria. 2015. Big Data analytics in healthcare. BioMed Research International 2015: 1–16.

    Article  Google Scholar 

  • Biffi, Carlo A., and Ausonio Tuissi. 2017. Stato dell’arte sulle tecniche di produzione additiva per metalli. Metallurgia Italia 1: 5–10.

    Google Scholar 

  • Bissonnette, Luc, and Michel G. Bergeron. 2017. Portable devices and mobile instruments for infectious diseases point-of-care testing. Expert Review of Molecular Diagnostics 17: 471–494.

    Article  CAS  Google Scholar 

  • BNDES – National Development Bank. 2017. Benchmark de iniciativas e políticas públicas: relatório final. https://www.bndes.gov.br/wps/wcm/connect/site/48fff464-7a3c-442b-98c3-aa4634ad08d8/Relatorio-de-benchmark-fase-1-20170516_Produto_Frente_1_Benchmark_ENTREGA_FORMAL_FinalRevisado.pdf?MOD=AJPERES&CVID=lNGCXmw. Accessed 16 May 2018.

  • Bollinger, Robert, Larry Chang, Reza Jafari, Thomas O’Callaghan, Peter Ngatia, Dykki Settle, Jane McKenzie-White, et al. 2013. Leveraging information technology to bridge the health workforce gap. Bulletin of the World Health Organization 91: 890–892.

    Article  Google Scholar 

  • Buford, Randall Jean, Eric C. Green, and Melanie J. McClung. 2008. A microwave frequency sensor for non-invasive blood glucose measurement. IEEE Sensors Applications Symposium 2008: 4–7.

    Google Scholar 

  • Campo, Eric, D. Hewson, C. Gehin, and N. Noury. 2013. Theme D: Sensors, wearable devices, intelligent networks and smart homecare for health. Irbm 34: 11–13.

    Article  Google Scholar 

  • Chan, Marie, Daniel Estèvea, Jean-Yves Fourniols, Christophe Escriba, and Eric Campo. 2012. Smart wearable systems: Current status and future challenges. Artificial Intelligence in Medicine 56: 137–156.

    Article  Google Scholar 

  • Christensen, Clayton M., Richard Bohmer, and John Kenagy. 2000. Will disruptive innovation cure health care? Harvard Business Review 78: 102–112.

    CAS  Google Scholar 

  • Ciuti, Gastone, Arianna Menciassi, and Paolo Dario. 2011. Capsule endoscopy: From current achievements to open challenges. IEEE Reviews in Biomedical Engineering 4: 59–72.

    Article  Google Scholar 

  • Daniel, Kathryn M., Carolyn L. Cason, and Sherry Ferrell. 2009. Emerging technologies to enhance the safety of older people in their homes. Geriatric Nursing(Minneap). 30: 384–389.

    Article  Google Scholar 

  • Davenport, Thomas H., and D. J. Patil. 2011. Data scientist: The sexiest job of the 21st century. Harvard Business Review. https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century. Accessed 9 May 2018.

  • Estrin, Deborah, and Ida Sim. 2010. Health care delivery – Open mHealth architecture: An engine for health care innovation. Science 330: 759–760.

    Article  CAS  Google Scholar 

  • Evans, Dave. 2011. The Internet of Things: How the next evolution of the internet is changing everything. CISCO. https://www.cisco.com/c/dam/en_us/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf. Accessed 9 May 2018.

  • Fatehi, Farhad, and Richard Wootton. 2012. Telemedicine, telehealth or e-health?: A bibliometric analysis of the trends in the use of these terms. Journal of Telemedicine and Telecare 18: 460–464.

    Article  Google Scholar 

  • Feldman, Arthur M., Helmut Klein, Patrick Tchou, Srinivas Murali, W. Jackson Hall, Donna Mancini, John Boehmer, Mark Harvey, et al. 2004. Use of a wearable defibrillator in terminating tachyarrhythmias in patients at high risk for sudden death: Results of WEARIT/BIROAD. PACE – Pacing and Clinical Electrophy 27: 4–9.

    Article  Google Scholar 

  • Gatzoulis, Loukianos, and Ilias Iakovidis. 2007. Wearable and portable eHealth systems. IEEE Engineering in Medicine and Biology Magazine 26: 51–56.

    Article  Google Scholar 

  • Grossglauser, Matt, and Hugo Saner. 2014. Data-driven healthcare: From patterns to actions. European Journal of Preventive Cardiology 21: 14–17.

    Article  CAS  Google Scholar 

  • Handel, Marsha J. 2011. mHealth (mobile health): Using apps for health and wellness. Explore: The Journal of Science and Healing 7: 256–261.

    Article  Google Scholar 

  • Hersh, William, Alvaro Margolis, Fernán Quirós, and Paula Otero. 2010. Building a health informatics workforce in developing countries. Health Affairs 29: 274–277.

    Article  Google Scholar 

  • Istepanian, Robert S.H., Swamy Laxminarayan, and Constantinos S. Pattichis, eds. 2010. M-Health: Emerging mobile health systems. New York: Springer.

    Google Scholar 

  • Jeon, Byungkook, Jundong Lee, and Jaehong Choi. 2013. Design and implementation of a wearable ECG system. International Journal of Smart Home 7: 61–70.

    Google Scholar 

  • Jones, V.M., R. Huis in’t Veld, T. Tonis, et al. 2008. Biosignal and context monitoring: Distributed multimedia applications of Body Area Networks in healthcare. IEEE 10th Workshop on Multimedia Signal Processing: 820–825.

    Google Scholar 

  • Konstantas, Dimitri. 2007. An overview of wearable and implantable medical sensors. Yearbook of Medical Informatics: 66–69.

    Article  Google Scholar 

  • Kooman, Jeroen P., Jaap Joles, and Karin G. Gerritsen. 2015. Creating a wearable artificial kidney: Where are we now? Expert Review of Medical Devices 12: 373–376.

    Article  CAS  Google Scholar 

  • Manyika, James, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs et al. 2011. Big data: The next frontier for innovation, competition, and productivity. McKinsey Glob. Inst. https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf. Accessed 9 May 2018.

  • Maqbool, Sabba, Henry P. Parkman, and Frank K. Friedenberg. 2009. Wireless capsule motility: Comparison of the SmartPill GI Monitoring System with scintigraphy for measuring whole gut transit. Digestive Diseases and Sciences 54: 2167–2174.

    Article  Google Scholar 

  • Martin, Thomas. 2012. Assessing mHealth: Opportunities and barriers to patient engagement. Journal of Health Care for the Poor and Underserved 23: 935–941.

    Article  Google Scholar 

  • McKinsey & Company. Internet das Coisas: um plano de ação para o Brasil [Internet]. Brasília; 2016.

    Google Scholar 

  • Ministry of Health. 2015. Sistemas de informação da atenção à Saúde: contexto históricos, avanços e perspectivas no SUS. Brasília: Ministry of Health.

    Google Scholar 

  • ———. Brazil. 2017. Conjunto Mínimo de Dados. http://datasus.saude.gov.br/noticias/atualizacoes/1033-ministerio-da-saude-avanca-nainformatizacao-do-sus. Accessed 17 Dec 2017.

  • Mukhopadhyay, Subhas Chandra. 2014. Internet of Things applications: Challenges and opportunities. New York: Springer.

    Book  Google Scholar 

  • Nerminathan, Arany, Amanda Harrison, Megan Phelps, Karen M. Scott, and Shirley Alexander. 2017. Doctors’ use of mobile devices in the clinical setting: A mixed methods study. Internal Medicine Journal 47: 291–298.

    Article  Google Scholar 

  • Nicholas, Jennifer, Mark Erik Larsen, Judith Proudfoot, and Helen Christensen. 2015. Mobile apps for bipolar disorder: A systematic review of features and content quality. Journal of Medical Internet Research 17: e198.

    Article  Google Scholar 

  • Park, Jin-Tae, Hyun-Seo Hwang, and Il-Young Moon. 2014. Study of wearable smart band for a user motion recognition system. International Journal of Smart Home 8: 33–44.

    Article  Google Scholar 

  • Pereira, Tiago. 2017. Cientista de dados: por onde começar em 8 passos. Data Science Academy. http://datascienceacademy.com.br/blog/cientista-de-dados-por-onde-comecar-em-8-passos/. Accessed 9 May 2018.

  • POETAS.IT. 2016. IoT: uma estratégia para o Brasil. www.cesar.org.br/poetas.it/visionstatement. Accessed 9 May 2018.

  • Porter, Michael E., and Thomas H. Lee. 2013. The strategy that will fix health care. Harvard Business Review. https://hbr.org/2013/10/the-strategy-that-will-fix-health-care. Accessed 9 May 2018.

  • Reddy, Chandan, and Charu Aggarwal. 2015. Healthcare Data Analytics. New York: CRC Press.

    Book  Google Scholar 

  • Rocha, Thiago, Luiz Augusto Fachini, Elaine Thumé, Núbia Cristina da Silva, et al. 2016. Saúde Móvel: novas perspectivas para a oferta de serviços em saúde. Epidemiol. e Serviços Saúde 25: 1–10.

    Article  Google Scholar 

  • Rodrigues, Jose, Fernando Paulovich, Maria Oliveira, and Osvaldo de Oliveira Jr. 2016. On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis. Nanomedicine 11: 959–982.

    Article  CAS  Google Scholar 

  • Santha kumar, R., and K. Kaliyaperumal. 2015. A scientometric analysis of mobile technology publications. Scientometrics 105: 921–939.

    Article  Google Scholar 

  • Santini, John T., Michael J. Cima, and Robert Langer. 1999. A controlled-release microchip. Nature 397: 335–338.

    Article  CAS  Google Scholar 

  • Shmueli, Galit, and Otto Koppius. 2011. Predictive analytics in information systems research. Management Information Systems Quarterly 35: 553–572.

    Article  Google Scholar 

  • Siau, Keng, and Zixing Shen. 2006. Mobile healthcare informatics. Medical Informatics and the Internet in Medicine 31: 89–99.

    Article  Google Scholar 

  • Slovensky, Donna J., and Donna Malvey. 2015. Mhealth: Transforming Healthcare. London: Springer.

    Google Scholar 

  • Soh, Ping Jack, Bertold Van den Bergh, Hantao Xu, Hadi Aliakbarian, et al. 2013. A smart wearable textile array system for biomedical telemetry applications. IEEE Transactions on Microwave Theory and Techniques 61: 2253–2261.

    Article  Google Scholar 

  • Srivastava, Shilpa, Millie Pant, Ajith Abraham, and Namrata Agrawal. 2015. The technological growth in eHealth services. Computational and Mathematical Methods in Medicine 2015: 1–18.

    Article  Google Scholar 

  • Sweileh, Waleed, Samah W. Al-Jabi, Adham S. AbuTaha, Sa’ed H. Zyoud, Fathi M.A. Anayah, and Ansam F. Sawalha. 2017. Bibliometric analysis of worldwide scientific literature in mobile-health: 2006–2016. BMC medical informatics and decision making 17: 72.

    Article  Google Scholar 

  • Troster, Gerhard. 2005. The agenda of wearable healthcare. Yearbook of Medical Informatics 1: 125–138.

    Article  Google Scholar 

  • Wang, Liang, Tao Gu, Xianping Tao, Hanhua Chen, and Jian Lua. 2011. Recognizing multi-user activities using wearable sensors in a smart home. Pervasive and Mobile Computing 7: 287–298.

    Article  Google Scholar 

  • West, Darrell. 2012. How mobile devices are transforming healthcare. Brookings Education 18: 1–38.

    Google Scholar 

  • Whittaker, Robyn, Sally Merry, Enid Dorey, and Ralph Maddison. 2012. A development and evaluation process for mhealth interventions: Examples from New Zealand. Journal of Health Communication 17: 11–21.

    Article  Google Scholar 

  • WHO – World Health Organization. 2011. MHealth: New horizons for health through mobile technologies. Switzerland: World Health Organization.

    Google Scholar 

  • ———. 2015. Density of physicians (total number per 1000 population, latest available year). http://www.who.int/gho/health_workforce/physicians_density/en/. Accessed 16 May 2018.

  • Ziemba, Meaghan. 2013. Qardio’s smart, wearable solutions provide users daily, continuous heart and health monitoring. https://www.wirelessdesignmag.com/article/2013/10/qardio-monitoring-system-smarter-healthcare. Accessed 10 May 2018.

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rocha, T.A.H., da Silva, N.C., Barbosa, A.C.Q., Elahi, C., Vissoci, J.R.N. (2019). mHealth: Smart Wearable Devices and the Challenges of a Refractory Context. In: Pereira Neto, A., Flynn, M. (eds) The Internet and Health in Brazil . Springer, Cham. https://doi.org/10.1007/978-3-319-99289-1_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99289-1_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99288-4

  • Online ISBN: 978-3-319-99289-1

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics