Abstract
This paper investigates the benefits of using less intrusive wireless technologies for heart monitoring. By replacing well established heart monitoring devices (i.e. Holter) with wireless ECG based Body Area Networks (BAN), improved healthcare performance can be achieved, reflected in (1) high quality ECG recordings during physical activities and (2) increased patient satisfaction. A small scale clinical trial was conducted to compare both technologies and the results illustrate that the wireless ECG monitor was able to detect ECG signals intended for arrhythmia diagnostics. Furthermore, from a patient’s perspective, both technologies were evaluated using three dimensions, namely; hygienic aspects, physical activity, and skin reactions. Results demonstrate that the wireless ECG BAN showed better performance, especially regarding the hygienic aspects. It was also favourable for use during physical activities, and the signal quality of the wireless sensor system demonstrated good performance regarding signal noise and artefact disturbances. This paper concludes that wireless cardiac monitoring systems have significant benefits from a patient’s perspective, and further clinical trials should be conducted to further evaluate the new ECG based BAN system, to identify the possibility of widespread adoption and utilisation of wireless technology for arrhythmia diagnostics.
Similar content being viewed by others
References
Al Khatib, I., Bertozzi, D., Poletti, F., Benini, L., Jantsch, A., Bechara, M., Khalifeh, H., Hajjar, M., Nabiev, R., and Jonsson, S., Hardware/software architecture for real-time ECG monitoring and analysis leveraging MPSoC technology. Transactions on HiPEAC I, LNCS. 4050:239–258, 2007.
Guler, N. F., and Ubeyli, E. D., Theory and applications of telemedicine. J. Med. Syst. 26:199–220, 2002.
Jovanov, E., Raskovic, D., Price, J., Chapman, J., Moore, A., and Krishnamurthy, A., Patient monitoring using personal area networks of wireless intelligent sensors. Biomed. Sci. Instrum. 37:373–378, 2001.
Anliker, U., Ward, J. A., Lukowicz, P., Troster, G., Dolveck, F., Baer, M., et al., AMON: a wearable multiparameter medical monitoring and alert system. Information Technology in Biomedicine. IEEE Trans. 8 (4)415–427, 2004.
Rubel, P., Fayn, J., Nollo, G., Assanelli, D., Li, B., Restier, L., et al., Toward personal eHealth in cardiology. Results from the EPI-MEDICS telemedicine project. J. Electrocardiol. 38 Supplement 1 (4)100–106, 2005. doi:10.1016/j.jelectrocard.2005.06.011.
Roth, A., Korb, H., Gadot, R., and Kalter, E., Telecardiology for patients with acute or chronic cardiac complaints: The ‘SHL’ experience in Israel and Germany. Int. J. Med. Inform. 75 (9)643–645, 2006. doi:10.1016/j.ijmedinf.2006.04.004.
Marculescu, D., Marculescu, R., Zamora, N. H., Stanley-Marbell, P., Khosla, P. K., Park, S., et al., Electronic textiles: A platform for pervasive computing. Proc. IEEE. 91 (12)1995–2018, 2003. doi:10.1109/JPROC.2003.819612.
Park, S., Jayaraman, S., On innovation, quality of life and technology of BodyNets’ Proceedings of the ICST 3rd international conference on Body area networks. Tempe, Arizona: ICST Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2008.
Demiris, G., Electronic home healthcare: concepts and challenges. Int. J. Electron. Healthc. 1 (1)4–16, 2004. doi:10.1504/IJEH.2004.004655.
Fenske, S., Challenges and Opportunities for Wireless Healthcare. www.wirelessdesignmag.com December, 2007.
Williamson, P., Designing wireless products for the home healthcare market. www.wirelessdesignmag.com, 2007.
Tan, J., E-Healthcare Information Systems: An Introduction for Students and Professionals, Wiley, 2005.
Passanisi, C., Electrocardiography Essentials. Delmar Learning. 2001.
Hopper, Telehealth and the diagnosis and management of cardiac disease. J. Telemed. Telecare. 7:249–256, 2001. doi:10.1258/1357633011936471.
Bunch, T., White, R., Gersh, B., Meverden, R., Hodge, D., Ballman, K., Hammill, S., Shen, W., and Packer, D., Long-term outcomes of out-of-hospital cardiac arrest after successful early defibrillation. N. Engl. J. Med. 348:2626–2633, 2003. doi:10.1056/NEJMoa023053.
Corrigan, D., and Paton, J., Pilot study of objective cough monitoring in Infants. Pediatr. Pulmonol. 35:350–357, 2003. doi:10.1002/ppul.10267.
Hoch, J. S., Rockx, M., and Krahn, A., Using the net benefit regression framework to construct cost-effectiveness acceptrability curves: an example using data from a trial of external loop recorders versus Holter monitoring for ambulatory monitoring of community acquired syncope. in BMC Health Service Results, June, 2006.
Fensli, R., Pedersen, P. E., et al., Sensor Acceptance Model—Measuring patient acceptance of wearable sensors. Methods Inf. Med. 47 (1)89–95, 2008.
Istepanian, R., Woodward, B., Gorilas, E., and Balos, P., Designing of mobile telemedicine systems using GSM and IS-54 cellular telephone standards. J. Telemed. Telecare. 4 (1)80–82, 1998. doi:10.1258/1357633981931579.
Andreasson, J., Ekstrom, M., Fard, A., Castano, J., Johnson, T., Remote system for patient monitoring using bluetooth. Sensors-02, Proceedings of the IEEE, 2002.
Scherr, D., Dalal, D., Henrikson, C., Spragg, D., Berger, R., Calkins, H., and Cheng, A., Prospective comparison of the diagnostic utility of a standard event monitor versus a “leadless” portable ECG monitor in the evaluation of patients with palpitations. J. Interv. Card. Electrophysiol. 22:1, 2008. doi:10.1007/s10840-008-9251-0.
Huntleigh Healthcare: Medilog AR4 Digital Holter Recorder. http://www.medilogdarwin.com/Medilog_AR4.html
Wireless Patient Recording Medical, A.S.: Wireless ECG sensor. http://www.wprmedical.com
Fensli, R., and Boisen, E., Human factors affecting the patient’s acceptance of wireless biomedical sensors. In: Fred, A., Filipe, J., and Gamboa, H., (Eds.), BIOSTEC 2008, CCIS 25.402–12. Berlin Heidelberg: Springer, 2008.
Giorgi, A., Aanstoos, C. M., and William, F. F., Phenomenology and psychological research. Duquesne University Press, Pittsburgh, 1985.
Bland, J. M., and Altman, D. G., Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1 (8476)307–310, 1986.
Acknowledgements
The study is supported by the Research Council of Norway in co-operation with Sørlandets Teknologisenter. The clinical trials have been done in close co-operation with Sørlandet Hospital HF, Arendal, the general practitioners at Legegruppen Grandgården and Tromøy Legesenter and the company WPR Medical AS.
The authors wish to thank Tormod Snaprud, Ellen Ytrehus and Åse Løsnesløkken at Sørlandet Hospital HF, Nils Nærdal, Mark Fagan and Inger Ødegård at Tromøy Legesenter and Eirik Aanonsen at WPR Medical for their excellent assistance with the patients during clinical trials.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Fensli, R., Dale, J.G., O’Reilly, P. et al. Towards Improved Healthcare Performance: Examining Technological Possibilities and Patient Satisfaction with Wireless Body Area Networks. J Med Syst 34, 767–775 (2010). https://doi.org/10.1007/s10916-009-9291-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10916-009-9291-8