Studies have shown that capacitance sensors can be used for skin hydration imaging, surface analysis and skin micro relief measurements. In this report, development of a hardware measurement instrument and accompanying software that was made is discussed. Work then focussed on stratum corneum (SC) dynamic water concentration measurements using the capacitance sensor. To further validate the measurement results, the capacitance sensors SC surface hydration results are compared with the optoAthermal transient emission radiometry (OTTER) and transA epidermal water loss (TEWL) results measured by using the condenserAchamber TEWL method. To achieve the aim of this project, a handAheld probe, based on the FingerPrint Card area sensor development kit (FPCASMD 5410, FPCAAMD 6410 and then on the FUJITSU MBFA200), has been developed and used in this research. The development kit contains an array area sensor chip, a processor board and a serial/USB connecting cable for connecting to a PC. Dedicated JAVA, C++ and Mathworks MatLab programs have also been developed, which can capture the images, process the images, perform grayscale value calculation and display the images. A secondary program was developed in MatLab that allows extraction of data from raw image files created by the sensor. These data are then processed to show mathematical calculations and image profiling of the subject skin site. Additionally, the MBFA200 sensor is able to record live video files of the skin. The precision of the resulting data is analysed and multiple experiments are conducted to test the viability and usage of the capacitance sensor in different areas of research such as skin hydration, occlusion, depilation and scar measurement. Further test were also conducted on a multitude of hydrated surfaces both live an nonAlive.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:724588 |
| Date | January 2010 |
| Creators | Singh, Harjinthar |
| Contributors | Xiao, P. |
| Publisher | London South Bank University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://researchopen.lsbu.ac.uk/1405/ |
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