Automated pressure ulcer lesion diagnosis for telemedicine systems

IEEE Engineering in Medicine and Biology Magazine

Volumn 26, Issue 5, 2007, Pages 18-22

  Kosmopoulos, Dimitrios I ^a,e   Tzevelekou, Fotini L ^b,c,d  

^a UNIVERSITY OF PELOPONNESE   (Greece)

^b 251 Air Forces Military Hospital   (Greece)

^c 251 General Air Force Hospital

^d Greek Nursing Association

^e INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DECUBITUS; DIGITAL IMAGING; HUMAN; IMAGE PROCESSING; NURSING CARE; REVIEW; SKIN; TELEMEDICINE;

AUTOMATIC DATA PROCESSING; CLINICAL PROTOCOLS; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, DIFFERENTIAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PRESSURE ULCER; REPRODUCIBILITY OF RESULTS; SKIN; SOFTWARE DESIGN; TELEMEDICINE;

EID: 34748853043     PISSN: 07395175     EISSN: None     Source Type: Journal    
DOI: 10.1109/EMB.2007.901786     Document Type: Review

References (11)

1. National Pressure Ulcer Advisory Panel: www.npuap.org.
2. P.E. Houghton, C.B. Kincaid, K.E. Campbell, M.G. Woodbury, and D.H. Keast, "Photographic assessment of the appearance of chronic pressure and leg ulcers," Ostomy Wound Manage., vol. 46. no. 4, pp. 20-26, 28-30, 2000.
3. T. Defloo and L. Schoonhoven, "Inter-rater reliability of the EPUAP pressure ulcer classification system using photographs," J. Clin. Nursing, vol. 13, no. 8, pp. 952-959, 2004.
4. H. Sanada, T. Moriguchi, Y. Miyachi, T. Ohura, T. Nakajo, K. Tokunaga, M. Fukui, J. Sugama, and A. Kitagawa, "Reliability and validity of DESIGN: A tool that classifies pressure ulcer severity and monitors healing," J. Wound Care, vol. 13, no. 1, pp. 13-18, 2004.
5. C. Roques, L. Theot, N. Frasson, and S. Meaume, "PRIMOS: An optical system that produces three-dimensional measurements of skin surfaces," J. Wound Care, vol. 12, no. 9, pp. 362-364, 2003.
6. S.J. Ross, D. Polsky, and J. Sochalski, "Nursing shortages and international nurse migration," Int. Nursing Rev., vol. 52, no. 4, pp. 253-262, 2005.
7. C. Mathewson, V.K. Adkins, and M.L. Jones, "Initial experiences with telerehabilitation, and contingency management programs for the prevention and management of pressure ulceration in patients with spinal cord injuries," J. Wound Ostomy Continence Nurs., vol. 27, no. 5, pp. 269-271, 2000.
8. European Pressure Ulcer Advisory Panel: www.epuap.org
9. P.F. Felzenszwalb and D.P. Huttenlocher, "Efficient graph-based image segmentation," Int. J. Comput. Vis., vol. 59, no. 2, pp. 167-181, 2004.
10. B.S. Manjunath and W.Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, no. 8, pp. 837-842, 1996.
11. N. Cristianini and J. Shawe-Taylor, Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge, UK: Cambridge Univ. Press, 2000.