Rizwan, A., Zoha, A. , Alomainy, A., Ali, N.A., Imran, M.A. and Abbasi, Q.H. (2019) Skin Conductance as Proxy for the Identification of Hydration Level in Human Body. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777806)
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178869.pdf - Accepted Version 120kB |
Abstract
The skin dehydration level can be used to infer serious health conditions in patients since diseases like cardiovascular abnormality, diabetes and cancer symptoms do exhibit correlation with skin disorders. Therefore a systematic analysis of human skin hydration levels is critical for multiple health care applications. Motivated by this, in this study we proposed a unique approach of measuring body hydration levels against different body postures using skin conductance electrical activity. In this paper, we report the collection, processing and analysis techniques used in the analysis of skin conductance data. Subsequently in order to predict body hydration levels we employed state-of-the-art machine learning models using the skin conductance data and achieved 81.82% and 73.91% recognition accuracy for the data of standing and sitting postures,respectively using KNN model.
| Item Type: | Conference Proceedings |
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| Additional Information: | This work is funded by project AARE17-019 provided by the ADEC Award for Research Excellence, Abu Dhabi, United Arab Emirates University. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Zoha, Dr Ahmed and Rizwan, Ali and Abbasi, Professor Qammer and Imran, Professor Muhammad |
| Authors: | Rizwan, A., Zoha, A., Alomainy, A., Ali, N.A., Imran, M.A., and Abbasi, Q.H. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISBN: | 9781538673959 |
| Related URLs: |
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