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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Huda Farooq Jameel
Middle Technical University

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Measurement of an electroretinogram signal and display waves on graphical user interface by laboratory virtual instrument engineering workbench Mustafa F. Mahmood; Huda Farooq Jameel; Mayss Alreem Nizar Hammed
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 2: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i2.pp980-988

Abstract

The electroretinogram (ERG) is an electrophysiological recording method that measures the retinal electrical potential. The electrical reaction is quantified by electrical interaction of the indicator electrode with the cornea or at various levels inside the retina. However, such ERG systems suffer from certain limitations and challenges, such as high cost, low a/b-wave amplitude, and the outcomes do not provide any information about patients. In this work, we designed and implemented a real-time prototype for an ERG system for measuring eye waves via diode-transistor logic (DTL)- electrode and AD624AD-model. In addition, a graphical user interface (GUI) via virtual instrument engineering workbench (LabVIEW) was used. The developed system achieved high amplitude for ERG a/b-waves of about 100 and 700 mV. In terms of a/b-waves in the system, the findings show that this study has good results for optimizing the measurement of ERG signals. The method showed satisfactory accuracy of about 92.5% for 10 participants aged 20-60 years and comprising both genders
Management patients information based finger print Ahmed Bashar Fakhri; Huda Farooq Jameel; Mustafa Falah Mahmood
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1281-1289

Abstract

The fingerprint is certainly one of the distinguishing features of the human body that is easily available and identifies one individual from another. The fingerprint sensor increases this distinctiveness, which is a device that can automatically classify or identify a person. The fingerprint based medical system is a more efficient means of storing clinical data for patients. It makes take advantage of fingerprint recognition technology to quickly and easily for determine the patient's past medical history. The system consists of an Arduino UNO board, a fingerprint sensor, an secure digital (SD) card module, and a micro-SD card. The suggested technology allows the use of a micro-SD card to store patient information as well as send it by internet. When this system was compared to the manual technique, the results indicate that the main advantage is that the proposed device saves a significant amount of time that manual searching and enrolling requires. Patients' information is simply collected and managed with this system, which has enhanced dependability, durability, and efficiency. It provides improved speed and performance, as well as better data security because the data is stored within the device.
MATLAB modeling to evaluate the ratio of packed cell volume Zena Ahmed Alwan; Suhair Mohammed Yaseen; Huda Farooq Jameel
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 1: July 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i1.pp414-420

Abstract

There are many direct and indirect methods of measuring the volumetric ratioof red blood cells relative to sample size and total blood, but the manual carcinogenic method remains the most stable and least expensive method despite the possibility of human error.The ratio percent of the packed red blood cell volume to the total volume of the blood sample is known as the packed cell volume (PCV). Our efforts were directed at finding a precise and economic method for PCV determination. There by, we designed a simple device consisting of a digital camera that is connected to a computer which uses a specific MATLAB program to process the blood images. As a result,the image can be read and the PCV can be calculated using a special code system. This new measuring system provides the capabilities and advantagesto frequently comment on measured PCV with normal or abnormal, in comparison with normal values of PCV, which are stored in the computer. Our measurement method provides accurate results compared to the ruler results to alleviate the effort of clearing the hepatitis C virus from the blood (PCV). This system enables a swift and simple sample analysis and PCV identification.
Co-Authors Ahmed Bashar Fakhri Mayss Alreem Nizar Hammed Mustafa F. Mahmood Mustafa Falah Mahmood Suhair Mohammed Yaseen Zena Ahmed Alwan