Medical Virtual Instrumentation for Personalized Health Monitoring: A Systematic Review

Abstract

The rising cost of healthcare and the increased senior population are some reasons for the growing adoption of the Personalized Health Monitoring (PHM) systems. Medical Virtual Instruments (MVIs) provide portable, flexible, and low-cost options for these systems. Our systematic literature search covered the Cochrane Library, Web of Science, and MEDLINE databases, resulting in 915 articles, and 25 of which were selected for inclusion after a detailed screening process that involved five stages. The review sought to understand the key aspects regarding the use of MVIs for PHM, and we identified the main disease domains, sensors, platforms, algorithms, and communication protocols for such systems. We also identified the key challenges affecting the level of integration of MVIs into the global healthcare framework. The review shows that MVIs provide a good opportunity for the development of low cost personalized health systems that meet the unique instrumentation requirements for a given medical domain.

References

1. J. Pärkkä, Analysis of Personal Health Monitoring Data for Physical Activity Recognition and Assessment of Energy Expenditure, Mental Load and Stress. PhD Dissertation, Tampere University of Technology, 2011.
2. R. Jayadevappa and S. Chhatre, “Patient Centered Care - A Conceptual Model and Review of the State of the Art,” The Open Health Services and Policy Journal, vol. 4, pp. 5–25, 2011. View at: Google Scholar
3. A. Billis, E. Papageorgiou, C. Frantzidis, M. Tsatali, A. Tsolaki, and P. Bamidis, “A Decision-Support Framework for promoting Independent Living and Ageing Well,” IEEE Journal of Biomedical and Health Informatics, 2014 Jul 25. View at: Google Scholar
4. N. Díaz-Rodríguez, O. L. Cadahía, M. P. Cuéllar, J. Lilius, and M. D. Calvo-Flores, “Handling real-world context awareness, uncertainty and vagueness in real-time human activity tracking and recognition with a fuzzy ontology-based hybrid method,” Sensors (Basel), vol. 14, no. 10, pp. 18131–71, 2014. View at: Publisher Site | Google Scholar
5. X.-J. Qiua, W.-H. Zhengb, Y.-T. Tanga, and F. Lua, “The Test Verification Design Method Based on Rapid Prototyping Technology of Aero-engine,” Procedia Engineering, vol. 99, pp. 981–990, 2015. View at: Google Scholar
6. O. Adeluyi and J.-A. Lee, “Medical Virtual Instrumentation for Ambient Assisted Living: Part 1 Concepts,” Measurement and Control Journal, vol. 48, no. 6, pp. 167–177, 2015. View at: Google Scholar
7. J. B. Olansen and E. Rosow, Virtual Bio-Instrumentation: Biomedical, Clinical, and Healthcare Applications in LabVIEW, Prentice Hall PTR, New Jersey, 2001.
8. Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health. Institute of Medicine (US) Committee on Preventing the Global Epidemic of Cardiovascular Disease: Meeting the Challenges in Developing Countries, Fuster V, Kelly BB (Eds). Washington (DC): National Academies Press (US), 2010.
9. N. Votruba and G. Thornicroft, “The importance of mental health in the Sustainable Development Goals,” BJPsych International, vol. 12, no. 1, pp. 2–4, 2015. View at: Google Scholar
10. A-Z list of laboratory tests at the Central Manchester University Hospitals, United Kingdom, www.cmft.nhs.uk/info-for-health-professionals/laboratory-medicine/a-z-list-of-laboratory-tests. Accessed June 3, 2015.
11. F. Koehler, S. Winkler, M. Schieber et al., “Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study,” Circulation, vol. 123, no. 17, pp. 1873–80, 2011. View at: Publisher Site | Google Scholar
12. R. P. Ricci, L. Morichelli, and M. Santini, “Remote control of implanted devices through Home Monitoring technology improves detection and clinical management of atrial fibrillation,” Europace, vol. 11, no. 1, pp. 54–61, 2009. View at: Publisher Site | Google Scholar
13. J. C. Guerri, A. B. Antón, A. Pajares, M. Monfort, and D. Sánchez, “A mobile device application applied to low back disorders,” Multimedia Tools and Applications, vol. 42, no. 3, pp. 317–340, 2009. View at: Google Scholar
14. J. M. Kang, T. Yoo, and H.-C. Kim, “A Wrist-Worn Integrated Health Monitoring Instrument with a TeleReporting Device for Telemedicine and Telecare,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 5, pp. 1655–1662, 2006. View at: Google Scholar
15. A. Tsanas, M. A. Little, P. E. McSharry, and L. O. Ramig, “Accurate telemonitoring of Parkinson’s disease progression by noninvasive speech tests,” IEEE Transactions on Biomedical Engineering, vol. 57, no. 4, pp. 884–93, 2010. View at: Publisher Site | Google Scholar
16. R. L. Dellacà, A. Gobbi, M. Pastena, A. Pedotti, and B. Celli, “Home monitoring of within-breath respiratory mechanics by a simple and automatic forced oscillation technique device,” Physiological Measurements, vol. 31, no. 4, pp. N11–24, 2010. View at: Publisher Site | Google Scholar
17. M. Harini, K. Bhairavi, R. Gopicharan, K. Ganapathy, and V. Vaidehi, “Virtualization of healthcare sensors in cloud,” in 2013 International Conference on Recent Trends in Information Technology (ICRTIT), pp. 663–667, 2013. View at: Google Scholar
18. S. Madria, V. Kumar, and R. Dalvi, “Sensor Cloud: A Cloud of Virtual Sensors,” IEEE Software, vol. 31, no. 2, pp. 70–77, 2014, http://doi.ieeecomputersociety.org/10.1109/MS.2013.141. View at: Google Scholar
19. C. Sticherling, M. Kühne, B. Schaer, D. Altmann, and S. Osswald, “Remote monitoring of cardiovascular implantable electronic devices: prerequisite or luxury?” Swiss Medical Weekly, vol. 139, no. 41-42, pp. 596–601, 2009, doi:smw-12667. View at: Google Scholar
20. H. Wang, D. Peng, W. Wang, H. Sharif, H.-H. Chen, and A. A. Khoynezhad, “Resource-aware secure ECG healthcare monitoring through body sensor networks,” IEEE Wireless Communications, vol. 17, no. 1, pp. 12–19, 2010. View at: Google Scholar
21. L. Fanucci, S. Saponara, T. Bacchillone et al., “Sensing Devices and Sensor Signal Processing for Remote Monitoring of Vital Signs in CHF Patients,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 3, pp. 553–569, 2013. View at: Google Scholar
22. S.-J. Lee, J. Kim, and M. Lee, “The Design of the m-Health Service Application Using a Nintendo DS Game Console,” Telemedicine and e-Health, vol. 17, no. 2, pp. 124–130, 2011, Epub 2011 Jan 9. View at: Publisher Site | Google Scholar
23. R. S. Dilmaghani, H. Bobarshad, M. Ghavami, S. Choobkar, and C. Wolfe, “Wireless sensor networks for monitoring physiological signals of multiple patients,” IEEE Transactions on Biomedical Circuits and Systems, vol. 5, no. 4, pp. 347–56, 2011. View at: Publisher Site | Google Scholar
24. P.-C. Hii and W.-Y. Chung, “A Comprehensive Ubiquitous Healthcare Solution on an ${\text{Android}}^{\text{™}}$ Mobile Device,” Sensors (Basel), vol. 11, no. 7, pp. 6799–6815, 2011, Published online Jun 29, 2011, PMCID: PMC3231662. View at: Publisher Site | Google Scholar
25. N. J. Cleven, J. A. Müntjes, H. Fassbender et al., “A novel fully implantable wireless sensor system for monitoring hypertension patients,” IEEE Transactions on Biomedical Engineering, vol. 59, no. 11, pp. 3124–30, 2012. View at: Publisher Site | Google Scholar
26. D. G. Pitts, M. K. Patel, P. O. Lang, A. J. Sinclair, and R. Aspinall, “A respiratory monitoring device based on clavicular motion,” Physiological Measurements, vol. 34, no. 8, pp. N51–61, 2013. View at: Publisher Site | Google Scholar
27. U. Anliker, J. A. Ward, P. Lukowicz et al., “AMON: a wearable multiparameter medical monitoring and alert system,” IEEE Transactions on Information Technology in Biomedicine, vol. 8, no. 4, pp. 415–27, 2004. View at: Google Scholar
28. C. M. Cheng, Y. L. Hsu, C. M. Young, and C. H. Wu, “Development of a portable device for telemonitoring of snoring and obstructive sleep apnea syndrome symptoms,” Telemedicine and e-Health, vol. 14, no. 1, pp. 55–68, 2008. View at: Publisher Site | Google Scholar
29. H. Chun, J. Kang, K. J. Kim, K. S. Park, and H. C. Kim, “IT-based diagnostic instrumentation systems for personalized healthcare services,” Studies in Health Technology and Informatics, vol. 117, pp. 180–90, 2005. View at: Google Scholar
30. Y. Yu, J. Li, and J. Liu, “M-HELP: a miniaturized total health examination system launched on a mobile phone platform,” Telemedicine and e-Health, vol. 19, no. 11, pp. 857–65, 2013. View at: Google Scholar
31. E.-M. Fong and W.-Y. Chung, “Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring,” Sensors (Basel), vol. 13, no. 12, pp. 16451–16473, 2013. View at: Publisher Site | Google Scholar
32. D. Giansanti, S. Morelli, G. Maccioni, and M. Grigioni, “Portable kit for the assessment of gait parameters in daily telerehabilitation,” Telemedicine and e-Health, vol. 19, no. 3, pp. 224–32, 2013. View at: Publisher Site | Google Scholar
33. E. J. Gómez, M. E. Hernando Pérez, T. Vering et al., “The INCA system: a further step towards a telemedical artificial pancreas,” IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 4, pp. 470–9, 2008. View at: Publisher Site | Google Scholar
34. R. C. D'Arcy, S. G. Hajra, C. Liu, L. D. Sculthorpe, and D. F. Weaver, “Towards brain first-aid: a diagnostic device for conscious awareness,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 3, pp. 750–4, 2011, Epub 2010 Nov 11. View at: Publisher Site | Google Scholar
35. W. Chen, X. Zhu, T. Nemoto, K. Kitamura, K. Sugitani, and D. Wei, “Unconstrained monitoring of longterm heart and breath rates during sleep,” Physiological Measurements, vol. 29, no. 2, pp. N1–10, 2008. View at: Publisher Site | Google Scholar
36. A. Nemiroski, D. C. Christodouleas, J. W. Hennek et al., “Universal mobile electrochemical detector designed for use in resource-limited applications,” Proceedings of the National Academy of Sciences of the United States of America, vol. 111, no. 33, pp. 11984–11989, 2014, Bell AT (ed). View at: Publisher Site | Google Scholar
37. Y. Lee, B. Lee, and M. Lee, “Wearable sensor glove based on conducting fabric using electrodermal activity and pulse-wave sensors for e-health application,” Telemedicine and e-Health, vol. 16, no. 2, pp. 209–17, 2010. View at: Publisher Site | Google Scholar
38. The BioMobius Platform. http://www.capsil.org/capsilwiki/index.php/BioMOBIUS. Accessed June 2 2015.
39. The Reconfigurable Virtual Instrument FPGA Platform. http://mlab.ictp.it/rvi/system.html.Accessed June 2 2015.
40. Special Issue on Mobile Medicine. Annals of Biomedical Engineering. 2014, 42(11):2203-2204.
41. M. Roy, D. Seo, C. H. Oh, M. H. Nam, Y. J. Kim, and S. Seo, “Low-cost telemedicine device performing cell and particle size measurement based on lens-free shadow imaging technology,” Biosensors and Bioelectronics, vol. 15, no. 67, pp. 715–723, 2015. View at: Publisher Site | Google Scholar
42. M. C. Barroso, G. P. Esteves, T. P. Nunes, L. M. G. Silva, A. C. D. Faria, and P. L. Melo, “A telemedicine instrument for remote evaluation of tremor: design and initial applications in fatigue and patients with Parkinson's Disease,” BioMedical Engineering OnLine, vol. 10:14, 2011. View at: Publisher Site | Google Scholar
43. S. Patel, B. R. Chen, T. Buckley et al., “Home monitoring of patients with Parkinson's disease via wearable technology and a web-based application,” in 2010 Conf Proc IEEE Eng Med Biol Soc, pp. 4411–4, 2010. View at: Publisher Site | Google Scholar
44. E. P. da Silva Junior, G. P. Esteves, K. K. Dames, and P. L. Melo, “A telemedicine instrument for Internet-based home monitoring of thoracoabdominal motion in patients with respiratory diseases,” Review of Scientific Instruments, vol. 82, no. 1, 014301, 2011. View at: Publisher Site | Google Scholar
45. E. P. Silva Junior, G. P. Esteves, A. C. Faria, and P. L. Melo, “An internet-based system for home monitoring of respiratory muscle disorders,” in IEEE Eng Med Biol Soc Conf Proc. 2010, pp. 5492–5, 2010. View at: Publisher Site | Google Scholar
46. M. Macedo and P. Isais, “Standards Related to Interoperability in EHR & HS,” in Interoperability in Healthcare Information Systems: Standards, Management, and Technology: Standards, Management, and Technology, M. A. Sicilia and P. Balazote, Eds., pp. 19–44, 2013. View at: Google Scholar
47. COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS - on telemedicine for the benefit of patients, healthcare systems and society. http://www.ipex.eu/IPEXL-WEB/dossier/dossier.do?code=COM&year=2008&number=0689. Accessed June 1 2015.
48. R. P. Ricci, L. Morichelli, A. D'Onofrio et al., “Manpower and Outpatient Clinic Workload for Remote Monitoring of Patients with Cardiac Implantable Electronic Devices: Data from the HomeGuide Registry,” Journal of Cardiovascular Electrophysiology, vol. 25, no. 11, pp. 1216–23, 2014. View at: Google Scholar

Copyright

Copyright © 2015 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.