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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24373

Title: Excluding indecisive decisions by bringing machine learning and Electric Cell-substrate Impedance Sensing (ECIS) together in wound healing
Authors: Lemmens, Marijn
Thoelen, Ronald
Vandenryt, Thijs
De Raedt, Walter
Grieten, Lars
Issue Date: 2016
Citation: Winterschool Functional Coatings 2016, Hasselt, Belgium, 28-30/11/2016
Abstract: Monitoring and analysing of chronic wounds is still primarily based on visual inspections and interpretations of medical professionals. By maintaining this method, there is a chance of misinterpretation due to diverse ways of examining the wound. Further, for each assessment the wound dressing needs to be removed, which results into an intermission of the healing process. The Bioelectrical Impedance Spectroscopy (BIS) technique is tested to observe a difference in impedance between a dry- and festering wound. By injecting a solution of 0.9 % NaCl into a wound, representing the fluid in a festering wound, the fluctuations of impedance magnitude is measured. This information in turn can be used to alter the conditions in which a wound is healing so an optimal state of healing can be realized.
URI: http://hdl.handle.net/1942/24373
Category: C2
Type: Conference Material
Appears in Collections: Research publications

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