A Remote Patient Monitoring System for Congestive Heart Failure
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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
The authors would like to acknowledge the funding sources: NIH/National Library of Medicine Medical Informatics Training Program Grant T15 LM07356, National Institute of Health-National Heart, Lung, and Blood Institute Grant 1R01HL093466-01, and NetScienctific. Dr. Evangelista also received support from the University of California, School of Nursing Intramural Research Grant and the University of California, Los Angeles, Resource Centers for Minority Aging Research/Center for Health Improvement of Minority Elderly (RCMAR/CHIME) under NIH/NIA Grant P30-AG02-1684. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging or the National Institutes of Health. We would like to thank Wen-Sao Hong, Victor Chen, Professor William Kaiser and Professor Alex Bui for their help.
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