Body sensor data processing using stream computing

MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval

Volumn , Issue , 2010, Pages 449-457

  Sow, Daby ^a   Biem, Alain ^a   Blount, Marion ^a   Ebling, Maria ^a   Verscheure, Olivier ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Distributed computing; Healthcare; Patient monitoring; Stream computing

Indexed keywords

ARRHYTHMIA DETECTION; DATA EXPLOSION; DISTRIBUTED COMPUTING; MEDICAL INSTITUTIONS; MEDICAL PROFESSIONALS; MONITORING SYSTEM; PATIENT CARE; PATIENT MONITORING SYSTEMS; PROGRAMMING MODELS; REAL TIME; SENSOR DATA PROCESSING; SENSOR TECHNOLOGIES; STATE OF THE ART; STREAM COMPUTING; STREAMING DATA;

ARTS COMPUTING; FEATURE EXTRACTION; HEALTH CARE; HYDRAULICS; INFORMATION RETRIEVAL; INTENSIVE CARE UNITS; MIDDLEWARE; PATIENT MONITORING; SENSORS;

DATA PROCESSING;

EID: 77952377169     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1743384.1743465     Document Type: Conference Paper

References (25)

1. L. Amini, H. Andrade, R. Bhagwan, F. Eskesen, R. King, P. Selo, Y. Park, and C. Venkatramani. SPC: A distributed, scalable platform for data mining. In Workshop on Data Mining Standards, Services and Platforms, DM-SSP, Philadelphia, PA, 2006.
2. A. Arasu, S. Babu, and J. Widom. The CQL continuous query language: Semantic foundations and query execution. Technical report, InfoLab { Stanford University, October 2003.
3. A. Bar-Or, D. Goddeau, J. Healey, L. Kontothanassis, B. Logan, A. Nelson, and J. Van Thong. Biostream: A system architecture for real-time processing of physiological signals. In IEEE Engineering in Medicine and Biology Conference, 2004.
4. J. Barnes, V. Ramachandra, K. Gilani, E. Guenterberg, and H. Ghazemzadeh. Locomotion monitoring using body sensor networks. In International Conference on Information Processing in Sensor Networks, 2008.
5. M. Blount, J. S. Davis II, M. Ebling, J. H. Kim, K. H. Kim, K. Lee, A. Misra, S. Park, D. Sow, Y. J. Tak, M. Wang, and K. Witting. Century: Automated aspects of patient care. In 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, pages 504-509, 2007.
6. M. Blount, M. Ebling, M. Eklund, A. James, C. McGregor, N. Percival, K. Smith, and D. Sow. A framework for analysis of physiological data streams in intensive care environments. IEEE Engineering in Medicine and Biology Magazine, 2010. to appear.
7. C.-M. Chen, H. Agrawal, M. Cochinwala, and D. Rosenblut. Stream query processing for healthcare bio-sensor applications. In 20th International Conference on Data Engineering, pages 791-794, 2004.
8. G. D. Cliord, F. Azuaje, and P. E. McSharry. Advanced Methods and Tools for ECG Analysis. 2006.
9. D. Curtis, E. Pino, J. Bailey, E. Shih, J. Waterman, S. Vinterbo, T. Stair, J. Gutagg, R. Greenes, and L. Ohno-Machado. Smart - an integrated, wireless system for monitoring unattended patients. Journal of the American Medical Informatics Association, 15(1):44-53, January-February 2008.
10. C. Desouza, H. Salazar, B. Cheong, J. Murgo, and V. Fonseca. Association of hypoglycemia and cardiac ischemia. Diabetes Care, 26(5):1485-489, May 2003.
11. B. Gedik, H. Andrade, K.-L. Wu, P. S. Yu, and M. Doo. SPADE: The System S declarative stream processing engine. In International Conference on Management of Data, ACM SIGMOD, Vancouver, Canada, 2008.
12. B. Gedik, H. Andrade, K.-L. Wu, P. S. Yu, and M. Doo. SPADE: the System S declarative stream processing engine. In SIGMOD 2008, pages 1123-1134, 2008.
13. M. P. Grifin and J. R. Moorman. Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis. Pediatrics, 107(1):97-104, 2001.
14. http://www.cs.waikato.ac.nz/ml/weka/. Weka 3: Data mining software in java.
15. http://www.physionet.org/challenge/2009/. Physionet/computers in cardiology challenge 2009: Predicting acute hypotensive episodes.
16. http://www.physionet.org/physiobank/database/mitdb/. The mit-bih arrhythmia database.
17. H. Hyoil, R. Han, and H. Patrick. In infrastructure of stream data mining, fusion and management of monitored patients. In IEEE Symposium on Computer-Based Medical Systems, 2006.
18. N. Jain, L. Amini, H. Andrade, R. King, Y. Park, P. Selo, and C. Venkatramani. Design, implementation, and evaluation of the linear road benchmark on the stream processing core. In International Conference on Management of Data, ACM SIGMOD, Chicago, IL, 2006.
19. MATLAB. http://www.mathworks.com, October 2007.
20. U. Maurer, A. Smailagic, D. Siewioek, and M. Deisher. Activity recognition and monitoring using multiple sensors on di erent body positions. pages 113-116, 2006.
21. C. McGregor, D. Sow, A. James, M. Blount, M. Ebling, M. Eklund, and K. Smith. Collaborative research on an intensive care decision support system utilizing physiological data streams. In AMIA Annual Symposium, 2009.
22. E. Munguia, S. Intille, W. Haskell, K. Larson, J. Wright, A. King, and R. Friedman. Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor. In 17th International Symposium on Wearable Computers, pages 1-4, 2007.
23. A. Oppenheim and R. Schafer. Discrete-Time Signal Processing. Prentice-Hall, 1989.
24. J. S. Richman and J. R. Moorman. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol, 278(6), 2000.
25. J. D. Ullman. Database and Knowledge-Base Systems. Computer Science Press, 1988.