Advanced SearchSearch Tips
Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL
Li, Yan; Kim, Dongho; Shin, Byeong-Seok;
  PDF(new window)
The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.
Location-Aware;NoSQL Database System;WBAN Monitoring System;
 Cited by
T. Martin, E. Jovanov, and D. Raskovic, "Issues in wearable computing for medical monitoring applications: a case study of a wearable ECG monitoring device," in Proceedings of the 4th International Symposium on Wearable Computers, Atlanta, GA, 2000, pp. 43-49.

T. Berkowitz and X. Lopez, "Enhancing mobile applications with location-based services," Oracle Business White Paper, 2001.

J. Welch, F. Guilak, and S. D. Baker, "A wireless ECG smart sensor for broad application in life threatening event detection," in Proceedings of 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS'04), San Francisco, CA, 2004, pp. 3447-3449.

A. Pentland, "Healthwear: medical technology becomes wearable," IEEE Computer, vol. 37, no, 5, pp. 42-49, 2004.

J. Xu, B. Zheng, W. C. Lee, and D. L. Lee, "The D-tree: an index structure for planar point queries in locationbased wireless services," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 12, pp. 1526-1542, 2004. crossref(new window)

C. Otto, A. Milenkovic, C. Sanders, and E. Jovanov, "System architecture of a wireless body area sensor network for ubiquitous health monitoring," Journal of Mobile Multimedia, vol. 1, no. 4, pp. 307-326, 2006.

E. Jovanov, A. Milenkovic, C. Otto, and P. C. De Groen, "A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation," Journal of NeuroEngineering and Rehabilitation, vol. 2, no. 1, article no. 6, 2005.

H. S. Koo, "Metadata system for XML-based ECG management supporting interoperability," Journal of Korean Institute of Intelligent Systems, vol. 16, no. 6, pp. 704-709, 2006.

P. D. Mzila, M. O. Adigun, and S. S. Xulu, "A service supplier database for location-based mobile commerce," in Proceedings of 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), Toronto, ON, 2007.

"Prepare for disaster & tackle terabytes when evaluating medical image archiving," 2008;

H. S. Nam, H. S. Lee, and J. H. Kim, "Trend of WBAN application service," Electronics and Telecommunications Trend, vol. 24, no. 5, pp. 109-118, 2009.

J. Han, E. Haihong, G. Le, and J. Du, "Survey on NoSQL database," in Proceedings of 2011 6th International Conference on Pervasive Computing and Applications (ICPCA), Port Elizabeth, South Africa, 2011, pp. 363-366.

X. Chen, X. Zhang, L. Zhang, X. Li, N. Qi, H. Jiang, and Z. Wang, "A wireless capsule endoscope system with low-power controlling and processing ASIC," IEEE Transactions on Biomedical Circuits and Systems, vol. 3, no. 1, pp. 11-22, 2009. crossref(new window)

C. O. Rolim, F. L. Koch, C. B. Westphall, J. Werner, A. Fracalossi, and G. S. Salvador, "A cloud computing solution for patient's data collection in health care institutions," in Proceedings of 2nd International Conference on eHealth, Telemedicine, and Social Medicine (ETELEMED'10), St. Maarten, 2010, pp. 95-99.

D. B. Hoang and L. Chen, "Mobile cloud for assistive healthcare (MoCAsH)," in Proceedings of 2010 IEEE Asia- Pacific Services Computing Conference (APSCC), Hangzhou, China, 2010, pp. 325-332.

C. C. Teng, J. Mitchell, C. Walker, A. Swan, C. Davila, D. Howard, and T. Needham, "A medical image archive solution in the cloud," in Proceedings of 2010 IEEE International Conference on Software Engineering and Service Sciences (ICSESS), Beijing, China, 2010, pp. 431-434.

M. Somasundaram, S. Gitanjali, T. C. Govardhani, G. L. Priya, and R. Sivakumar, "Medical image data management system in mobile cloud computing environment," International Proceedings of Computer Science and Information Technology (IPCSIT), vol. 21, pp. 11-15, 2011.

M. Abousharkh and H. Mouftah, "Service oriented architecture-based framework for WBAN-enabled patient monitoring system," in Proceedings of the Second Kuwait Conference on e-Services and e-Systems (KCESS'11), Kuwait, 2011.

CISCO, "The CISCO location-aware healthcare solution," 2007; industries/docs/healthcare/CLA_HealthcareSolution.pdf.

Z. Wu, Y. Li, and H. Y. Bae, "The design and implementation of the real-time data stream server for continuity of care record," Journal of the Korea Society of Computer and Information, vol. 16, no. 12, pp. 71-81, 2011.

P. Olla and J. Tan, "Personal health records systems go mobile: defining evaluation components," in Mobile Health Solutions for Biomedical Applications. Hershey, PA: Medical Information Science Reference, 2009, pp. 45-70.

J. H. Kim, "Health avatar: an informatics platform for personal and private big data," Healthcare Informatics Research, vol. 20, no. 1, pp. 1-2, 2014. crossref(new window)

M. Li, S. Yu, Y. Zheng, K. Ren, and W. Lou, "Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption," IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 1, pp. 131-143, 2013. crossref(new window)

Z. Ding, L. Guo, and Q. Yang, "RDB-KV: a cloud database framework for managing massive heterogeneous sensor stream data," in Proceedings of 2012 2nd International Conference on Intelligent System Design and Engineering Application (ISDEA), Sanya, China, 2012, pp. 653-656.

M. Sadoghi and H. A. Jacobsen, "BE-tree: an index structure to efficiently match boolean expressions over high-dimensional discrete space," in Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, Athens, Greece, 2011, pp. 637-648.

A. Guttman, "R-trees: a dynamic index structure for spatial searching," ACM SIGMOD Record, vol. 14, mo. 2, pp. 47-57, 1984. crossref(new window)