Bibliography - Healthpath

Bibliography - Healthpath

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Adwanced Wound Care Solution

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Trans Telephonic Device Interface

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Smartphone / Tablet App for Health Assessment

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MOWA's Bibliography

  • European Pressure Ulcer Advisory Panel (EPUAP) and National Pressure Ulcer Advisory Panel (NPUAP). Prevention and treatment of pressure ulcers: Quick Reference Guide. Washington DC: National Pressure Ulcer Advisory Panel; 2009.

  • D A Perednia, What dermatologists should know about digital imaging, Journal of the American Academy of Dermatology, vol. 25, no. 1, pp. 89-108, 1991. PubMed Abstract:

  • M Herbin, F X Bon, A Venot, F Jeanlouis, M L Dubertret, L Dubertret, and G Strauch, Assessment of healing kinetics through true color image processing, IEEE Transactions on Medical Imaging, vol. 12, no. 1, pp. 39-43, March 1993.

  • M Herbin, A Venot, JY Devaux, and C Piette, Colour quantitation through image processing in skin, IEEE Transactions on Medical Imaging, vol. 9, no. 3, pp. 262-269, 1990.

  • J Arnqvist, L Hellgren, and J Vincent, Semiautomatic classification of secondary healing ulcers in multispectral images, in Proceedings of 9th International Conference on Pattern Recognition, Rome, November 1988, pp. 459-461.

  • B F Jones and P Plassman, An instrument to measure the dimensions of skin wounds, IEEE Transactions on Biomedical Engineering, vol. 42, no. 5, pp. 464-470, 1995.

  • T D Jones, Semi-automatic segmentation algorithms for measuring the area of skin wounds, University of Glamorgan, Department of Computer Studies, Computer Studies Technical Report CS-94-3, 1994.

  • J R Mekkes and W Westerhof, Image processing in the study of wound healing, Clinics in Dermatology, vol. 13, no. 4, pp. 401-407, 1995. PubMed Abstract:

  • van Riet Paap, J R Mekkes, O Estervez, and W Westerhof, A new color video image analysis system for the objective assessment of wound healing in secondary healing ulcers, Wounds, vol. 3, no. 1, pp. 41-41, 1991.

  • S el Gammal and R Popp, A color image analysis system (cd-cwa) to quantify wound healing of ulcers, Skin Research and Technology, vol. 1, no. 3, pp. 158, 1995.

  • C Solomon, A R Munro, A M van Rij, and R Christie, The use of video image analysis for the measurement of venous ulcers, British Journal of Dermatology, vol. 133, pp. 565-570, 1995. PubMed Abstract:

  • D J Smith, S Bhat, and J P Bulgrin, Video image analysis of wound repair, Wounds, vol. 4, no. 1, pp. 6-15, 1992.

  • P N Hall, E Claridge, and J D M Smith, Computer screening for early detection of melanoma - is there a future?, British Journal of Dermatology, vol. 132, pp. 325-338, 1995. PubMed Abstract:

  • H Frey and H Palus, Sensor calibration for video-colorimetry, in Proceedings on Workshop on Design Methodologies for Microelectronics and Signal Processing, Gliwice, Cracow, Poland, October 1993, pp. 109-113.

HMT's Bibliography

  • G.Bellelli, G.B.Frisoni, A.Bianchetti, M.Trabucchi: The Bedford Alzheimer Nursing Severity scale for the demented: validation study. Alzheimer's Disease and Related Disorders, 11:71-77, 1997;

  • Mahoney FI, Barthel D.  “Functional evaluation: the Barthel Index” Maryland State Medical Journal 1965;14:56-61;

  • Braden B & Bergstrom N (1987) A conceptual schema for the study of the etiology of pressure sores. Rehabilitation Nursing 12, 8–12;

  • Conley D, Schultz AA, Selvin R. The challenge of predicting patients at risk for falling: development of  the Conley Scale. MEDSURG Nurs 1999; 8: 348-354;

  • Lawton, M.P., and Brody, E.M. “Assessment of older people: Self-maintaining and instrumental activities of daily living.” Gerontologist 9:179-186, (1969);

  • Norton D, Mclaren R & Exton-Smith A (1962) An Investigation of Geriatric Nursing Problems in Hospital. Churchill Livingstone, Edinburgh;

  • QL-Index, Spitzer et al., 1981;

  • Tinetti ME. Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatric Soc 1986; 34: 119-126;

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