A Remote Patient Monitoring System for Congestive Heart Failure
Congestive heart failure (CHF) is a leading cause of death in the United States affecting approximately 670,000 individuals. Due to the prevalence of CHF related issues, it is prudent to seek out methodologies that would facilitate the prevention, monitoring, and treatment of heart disease on a daily basis. This paper describes WANDA (Weight and Activity with Blood Pressure Monitoring System); a study that leverages sensor technologies and wireless communications to monitor the health related measurements of patients with CHF. The WANDA system is a three-tier architecture consisting of sensors, web servers, and back-end databases. The system was developed in conjunction with the UCLA School of Nursing and the UCLA Wireless Health Institute to enable early detection of key clinical symptoms indicative of CHF-related decompensation. This study shows that CHF patients monitored by WANDA are less likely to have readings fall outside a healthy range. In addition, WANDA provides a useful feedback system for regulating readings of CHF patients.
KeywordsHealth monitoring Telemedicine Wireless health Congestive heart failure patients monitoring Real-time feedback Data integrity Database backup
- 3.Bundkirchen, A., Epidemiology and economic burden of chronic heart failure. Eur. Heart J. Suppl., D57–D60, 2004.Google Scholar
- 4.Suh, M. K., Evangelista, L., et al., An Automated Vital Sign Monitoring System for Congestive Heart Failure Patients. ACM International Health Informatics Symposium, 2010.Google Scholar
- 5.Suh, M. K., Evangelista, L., et al., WANDA B.: Weight and Activity with Blood Pressure Monitoring System for Heart Failure Patients, IEEE Workshop on Interdisciplinary Research on E-Health Services and Systems, 2010.Google Scholar
- 8.Haider, A. W., Systolic blood pressure, diastolic blood pressure, and pulse pressure as predictors of risk for congestive heart failure in the Framingham Heart Study. Ann. Intern. Med. 138(1):10–16, 2003.Google Scholar
- 11.Hambrecht, R., Regular physical exercise corrects endothelial dysfunction and improves exercise capacity in patients with chronic heart failure. Circulation 98(24):2709–2715, 1998.Google Scholar
- 12.Jurgens, C. Y., Psychometric testing of the heart failure somatic awareness scale. J. Cardiovasc. Nurs. 21(2):95–102, 2006.Google Scholar
- 15.Pharos Innovations. Pharos Innovations. http://www.pharosinnovations.com/, 2011.
- 16.Soran, O. Z., et al., Cost of medical services in older patients with heart failure: those receiving enhanced monitoring using a computer-based telephonic monitoring system compared with those in usual care: the heart failure home care trial. J. Card. Fail. 16(11):859–866, 2010.CrossRefGoogle Scholar
- 18.Alere. Alere. http://www.alere.com/, 2011.
- 21.UCLA Wireless Health Community. UCLA. http://www.wirelesshealth.ucla.edu/, 2011.
- 23.Ideal Life. Ideal Life. http://www.ideallifeonline.com/, 2011.
- 24.A&D. A&D Engineering, Inc. http://www.andonline.com/.
- 25.Roving Networks. Roving Networks, Inc. http://www.rovingnetworks.com/.
- 26.Jones, N. L., Clinical exercise testing, 2nd edition. Saunders, Philadelphia, 1982.Google Scholar
- 28.Hara, T., The relationship between body weight reduction and intensity of daily physical activities assessed with 3-dimension accelerometer. Jpn. J. Phys. Fitness Sports Med. 55(4):385–391, 2006.Google Scholar
- 32.Google Maps API Family. Google. http://code.google.com/apis/maps/, 2011.
- 37.SOPHI. UCLA. http://cs.ucla.edu/∼ani/SOPHI/, 2010.
- 39.Bhattacharya, S., Coordinating backup/recovery and data consistency between database and file systems. In Proceedings of the 2002 ACM SIGMOD international conference on Management of data, 500–511, 2002.Google Scholar
- 40.WANDA. UCLA.http://www.wandab.net, 2011.