On the integration of an artifact system and a real-time healthcare analytics system

IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Volumn , Issue , 2010, Pages 647-655

  Blount, Marion ^a   McGregor, Carolyn ^b   James, Andrew ^c   Sow, Daby ^a   Kamaleswaran, Rishikesan ^b   Tuuha, Sascha ^b   Percival, Jennifer ^b   Percival, Nathan ^b  

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

^b UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

^c HOSPITAL FOR SICK CHILDREN   (Canada)

Author keywords

artifact integration; artifacts; health informatics; neonatal intensive care; real time analytics system; streaming computing

Indexed keywords

ARTIFACT INTEGRATION; ARTIFACTS; HEALTH INFORMATICS; NEONATAL INTENSIVE CARE; REAL-TIME ANALYTICS SYSTEM; STREAMING COMPUTING;

CHEMICAL DETECTION; DATA COMMUNICATION SYSTEMS; ERRORS; HEALTH; HEALTH CARE; HYDRAULICS; INFORMATION SCIENCE; INTENSIVE CARE UNITS; PEDIATRICS; PHYSIOLOGY;

REAL TIME SYSTEMS;

EID: 78650963516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883094     Document Type: Conference Paper

References (20)

1. Griffin, P. and R. Moorman, "Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis," Pediatrics, vol. 107, no. 1, pp. 97-104, 2001.
2. McInosh, N., J.-C. Becher, S. Cummingham, B. Stenson, A. Laing, A. J. Lyon, and P. Badger, "Clinical diagnosis of pneumothorax is late: Use of trend data and decision support might allow preclinical detection," Pediatric Research, vol. 48, no. 3, 408-415, 2000.
3. J. Fabres, W. A. Carlo, V. Phillips, G. Howard, and N. Ambalavanan, Both extremes of arterial carbon dioxide pressure and the magnitude of fluctuations in arterial carbon dioxide pressure are associated with severe intraventricular hemorrhage in preterm infants, Pediatrics, vol. 119, no. 2, pp. 299-305, 2007.
4. V. Tuzcu, S. Nas, U. Ulusar, A. Uger, and J. R. Kaiser, Altered Heart Rhythm Dynamics in Very Low Birth Weight Infants with Impending Intraventricular Haemorrhage, Pediatrics, vol. 123, no. 3, pp. 810-815, 2009.
5. Shankaran, S., J. C. Langer, N, Kazzi, A. R. Laptook, and M. Walsh, "Cumulative index of exposure to hypocarbia and hyperoxia as risk factors for preiventricular leukomalacia in low birth weight infants. " Pediatrics, vol. 118, no. 4, pp. 1654-1659, 2006.
6. Claassen, J., S. A. Mayer, L. J. Hirsch, "Continuous EEG Monitoring in Patients with Subarachnoid Hemorrhage," Journal of Clinical Neurophysiology, vol. 22, no. 2, pp. 92-98.
7. Claassen, J., L. Hirsch, "ICU EEG monitoring for vasospasm and other focal cortical disorders," Handbook of Clinical Neurophysiology, vol. 8, pp. 864-880.
8. A. Bar-Or, J. Healey, L. Kontothanassis, J. M. Van Thong, BioStream: a system architecture for real-time processing of physiological signals, Conference Proceedings of IEEE Engineering in Medicine and Biology Society, no. 4, pp. 3101-3104, 2004.
9. th IEEE Symposium on Computer Based Medical Systems, pp. 461-468, 2006.
10. M. Blount, Ebling, M., Eklund, J. M., James, A., McGregor, C., Percival, N., Smith, K., Sow, D., Real-Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic System, IEEE Engineering in Medicine and Biology Magazine, pp. 110-118, March/April 2010.
11. H. Park, Jeong, D., Park, K., Automated Detection and Elimination of Periodic ECG Artifact in EEG Using the Energy Interval Histogram Method, IEEE Transactions of Biomedical Engineering, vol. 49, no. 12, pp. 1526-1533, December 2002.
12. Chambrin, M.-C. 2001 Review: alarms in the intensive care unit: how can the number of false alarms are reduced? Crit. Care 5, 184-188.
13. Lawless ST. Crying wolf: False alarms in a pediatric intensive care unit. Crit Car Med 1994; 22:981-985.
14. Takla, G., Petre, J. H., Doyle, D. J., Horibe, M. & Gopakumaran, B. 2006 The problem of artifacts in patient monitor data during surgery: a clinical and methodological review. Anesth. Analg. 103, 1196-1204.
15. C. Cao, I. Kohane, N. McIntosh, Artifact Detection in Cardiovascular Time Series Monitoring Data from Preterm Infants, AMIA Annual Symposium, 1999, 207-211.
16. Q. Xue, Y. H. Hu, W. J. Tompkins, Neural network based adaptive matched filtering for QRS detection, IEEE Transaction Biomedical Engineering, no. 39, pp. 317-329, 1992.
17. J. Cheung, S. Hull, Detection of abnormal electrocardiograms using a neural network approach, Proceedings of the annual international conference of the IEEE Medicine and Biology Society, 1989.
18. C. Li, S. Wang, ECG detection method based on adaptive wavelet neural networks. Journal Biomedical Engineering, vol. 19, pp. 453-454, 2000.
19. th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1417-1420, 2006.
20. M. P. Griffin, D. E. Lake, E. A. Bissonette, F. E. Harrell, T. M. O'Shea, J. R. Moorman, Heart Rate Characteristics: Novel Physiomarkers to Predict Neonatal Infection and Death, Pediatrics, vol. 116, no. 5, pp. 1070-1074, 2005.