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Xavier Ngu
Universiti Tun Hussein Onn Malaysia (UTHM)

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Three-wavelength system for practical application in skin oximetry: simultaneous equations with prediction-correction approach Audrey Huong; W. Mahani Hafizah W. Mahmud; Xavier Ngu
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp793-801

Abstract

This paper presented the use of a three-wavelength system coupled with a prediction-correction model for the measurement of a person’s tissue oxygen levels and in the efforts towards the development of a field-portable system. This study considered light wavelength of market-available emitters in the range 500 − 650 nm for its practical implementation. This approach required the use of light attenuation and hemoglobin absorptivity information of three different wavelengths in determining tissue oxygen saturation value, StO2. It was found through the analysis of results using Monte Carlo method that considerable improvement in the accuracy of the predictions was obtained using the corrective models (ρ =0.874). The low mean prediction errors of similar magnitude, not exceeding 4 %, given by two wavelength combinations 538, 560, 633 nm and 538, 560, 650 nm were observed for signals with signal-noise ratio (SNR) of down to 30 dB. A significant statistical difference was found between the prediction errors and the wavelength combination used under this noise condition (ρ =0.011). This work concluded that the findings of this study provide insights into technology implementation of skin oximetry and the possible impacts it might have in medical arena.
Portable and wireless imaging of dorsal hand vein See Hui Ern; Audrey Huong; W. Mahani Hafizah W. Mahmud; Xavier Ngu
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp693-700

Abstract

Technologies for visualization of dorsal hand vein are of the great interest in the studies of drugs-body response, identity authentication and human metabolism. This study integrates near infrared (NIR) technology into an optical system for non-contact, mobile and quick on the spot visualization of dorsal vascular system. The performance of the developed system was tested on twenty subjects of different skin tone and body frame dimensions. The results showed that the proposed system is able to produce output image of Signal-Noise Ratio (SNR) and Peak SNR of greater than 30 dB and 20 dB, respectively. While this work found a correlation between skin tone and image quality metrics, high consistency was observed in the quality metrics calculated for image data of individuals having different body frame size. This work concluded that the proposed system can be suitably used as a portable and robust tool for enhanced visualization of dorsal hand vein.
Co-Authors Audrey Huong See Hui Ern W. Mahani Hafizah W. Mahmud