PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers

Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris

Abstract

The pressure ulcer is a clinical pathology with high prevalence rates, which involve high costs for the Health systems. The health promotion carried on these lesions, as well as the prevention, suitable evaluation and correct treatment, have become effective indicators of the quality of health assistance. PULAB (Pressure Ulcer LABoratory) is a computational tool that enables remote management, diagnosis and monitoring of pressure ulcers, which include digital images of the wounds. This teleassistance software gives support to the collaborative work of multiple clinical experts to concurrently evaluate the pressure ulcers by reaching consensus on each particular case, based on the effective analysis of automatically segmented and tissue-labeled images of the wounds. In the current phase of our research project an e-learning module for pressure ulcer diagnosis education is being designed, which will turn this software into a valuable pedagogical tool for pressure-ulcer-management training for undergraduate students and professional clinicians.

References

  1. EPUAP, European Pressure Ulcer Advisory Panel., 1999. Guidelines on treatment of pressure ulcers. EPUAP Review, 1, 31-33.
  2. Beeckman, D., Schoonhoven, L., Boucque, H., Van Maele, G., & Defloor, T., 2008. Pressure ulcers: Elearning to improve classification by nurses and nursing students. Journal of Clinical Nursing, 17(13), 1697-1707.
  3. Bolwell, C., 1993. Using computers as instructional technology in the pressure ulcer field. Decubitus, 6(4), 20-25.
  4. Bours, G. J., Halfens, R. J., Lubbers, M., & Haalboom, J. R., 1999. The development of a national registration form to measure the prevalence of malnutrition in the netherlands. Ostomy Wound Manage, 45, 28-40.
  5. Comaniciu, D., & Meer, P., 2002. Mean shift: A robust approach toward feature space anaylsis. IEEE Trans.Pattern Anal.Mach.Intell., 24, 603-619.
  6. Edsberg, L. E., 2007. Pressure ulcer tissue histology: An appraisal of current knowledge. Ostomy/wound Management, 53(10), 40-49.
  7. Gawlitta, D., Li, W., Oomens, C. W. J., Bader,Frank P.T.Baaijens and Dan L., & Bouten, C. V. C., 2007. The relative contributions of compression and hypoxia to development of muscle tissue damage: An in vitro study. Annals of Biomedical Engineering, 35(2), 273- 284.
  8. Gunningberg, L., 2004. Risk, prevalence and prevention of pressure ulcers in three swedish. Journal of Wound Care, 13(7), 286--290.
  9. Horn, S. D., Bender, S. A., Bergstrom, N., Cook, A. S., Ferguson, M. L., Rimmasch, H. L., et al., 2002. Description of the national pressure ulcer long-term care study. Journal of the American Geriatrics Society, 50(11), 1816-1825.
  10. Melotti, R. M., Fortuna, D., Chiari, P., & Cavicchioli, A., 2003. Prevalence and prevention and treatment modalities for pressure sores. Epidemiologia e Prevenzione, 27(3), 141-146.
  11. Tannen, A., Dassen, T., Bours, G., & Halfens, R., 2004. A comparison of pressure ulcer prevalence: Concerted data collection in the netherlands and germany. International Journal of Nursing Studies, 41(6), 607- 612.
  12. Tsuji, S., Ichioka, S., Sekiya, N., & Nakatsuka, T., 2005. Analysis of ischemia-reperfusion injury in a microcirculatory model of pressure ulcers. Wound Repair and Regeneration, 13(2), 209-215.
  13. Veredas, F., Mesa, H., & Morente, L., 2010. Binary tissue classification on wound images with neural networks and bayesian classifiers. Medical Imaging, IEEE Transactions on, 29(2), 410-427.
  14. Woodbury, M. G., & Houghton, P. E., 2004. Prevalence of pressure ulcers in canadian healthcare settings. Ostomy Wound Management, 50(10), 22-38.
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Paper Citation


in Harvard Style

Morente L., Veredas F., Mesa H. and Morris E. (2011). PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011) ISBN 978-989-8425-34-8, pages 394-398. DOI: 10.5220/0003275003940398


in Bibtex Style

@conference{healthinf11,
author={Laura Morente and Francisco J. Veredas and Héctor Mesa and Enrique Morris},
title={PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers },
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)},
year={2011},
pages={394-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003275003940398},
isbn={978-989-8425-34-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2011)
TI - PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers
SN - 978-989-8425-34-8
AU - Morente L.
AU - Veredas F.
AU - Mesa H.
AU - Morris E.
PY - 2011
SP - 394
EP - 398
DO - 10.5220/0003275003940398