Pressure Ulcer Detection and Prevention Using Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1745-7_44
Reference15 articles.
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2. Perneger TV, Gaspoz J-M, Raë A-C, Borst F, Héliot C (1998) Contribution of individual items to the performance of the Norton pressure ulcer prediction scale. J Am Geriatr Soc 46(10):1282–1286
3. Dorner B, Posthauer ME, Thomas D (2019) The role of nutrition in pressure ulcer prevention and treatment: National Pressure Ulcer Advisory Panel white paper. Adv Skin Wound Care 22(5):212–221
4. Park E-B, Heo J-C, Kim C, Kim B, Yoon K, Lee J-H (2021) Development of a patch-type sensor for skin using laser irradiation based on tissue impedance for diagnosis and treatment of pressure ulcer. IEEE Access 9:6277–6285. https://doi.org/10.1109/ACCESS.2020.3048242
5. Elsharif E, Drawil N, Kanoun S (2021)Automatic posture and limb detection for pressure ulcer risk assessment. In: 2021 IEEE 1st international maghreb meeting of the conference on sciences and techniques of automatic control and computer engineering MI-STA, pp 142–149. https://doi.org/10.1109/MI-STA52233.2021.9464360
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