Research Article | Open Access
Medical Virtual Instrumentation for Personalized Health Monitoring: A Systematic Review
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- J. B. Olansen and E. Rosow, Virtual Bio-Instrumentation: Biomedical, Clinical, and Healthcare Applications in LabVIEW, Prentice Hall PTR, New Jersey, 2001.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- P.-C. Hii and W.-Y. Chung, “A Comprehensive Ubiquitous Healthcare Solution on an Mobile Device,” Sensors (Basel), vol. 11, no. 7, pp. 6799–6815, 2011, Published online Jun 29, 2011, PMCID: PMC3231662.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- The BioMobius Platform. http://www.capsil.org/capsilwiki/index.php/BioMOBIUS. Accessed June 2 2015.
- The Reconfigurable Virtual Instrument FPGA Platform. http://mlab.ictp.it/rvi/system.html.Accessed June 2 2015.
- Special Issue on Mobile Medicine. Annals of Biomedical Engineering. 2014, 42(11):2203-2204.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.