Master's

Sep 17, 2018 - Jun 28, 2020

MSc in Medical Electronic Instrumentation of Technical Engineering

Teaching [Assistant Lecturer]

Sep 1, 2008 - Apr 13, 2025

Medical Instrumentation (Laboratory, Diagnosticو Therapeutic )

مسؤول وحدة التعليم المستمر [Responsible for the Continuing Education Unit]

Dec 31, 2021 - Mar 10, 2025

مسؤول وحدة التعليم المستمر / متابعة الدورات العلمية والورش والحلقات النقاشية للفترة من 2022 لغاية 2025

Healthcare Monitoring COVID-19 Patients Based on IoT System

Oct 1, 2023

Journal Bionatura

publisher Marwa Mohamedsheet Al-HatabAseel ThamerAseel ThamerAli Rakan Hasan Al-JaderAli Rakan Hasan Al-JaderShow all 5 authorsEntisar YounisEntisar Younis

DOI 10.21931/RB/CSS/2023.08.04.24

Issue 4

Volume 8

At the beginning of the Coronavirus disease 2019 (COVID-19) pandemic, the world needed to develop an innovative, accurate system for caring for and following up with patients remotely to reduce the massive influx of patients into hospitals. Therefore, the well-established Internet of Things (IoT) technology was used to build an applied model for health care. The main objective of this study was to create a system connected to an application that allows continuous remote and early detection of clinical deterioration by monitoring different levels of biometrics to reduce the patient's risk of serious complications. Assessments were conducted on four subjects (two males, two females) aged 30-50 years with COVID-19. The system was examined under conditions and medical supervision in the hospital, following a schedule of vital measurements (oxygen saturation rate, heart rate and temperature). An average of 4 examinations was recorded per day over a week. The model has recorded the mean of error of oxygen saturation rate (SpO2), pulse rate, and body temperature as (0.3975%), (0.2625%) and (2.925%) for four patients. Keywords: Healthcare, COVID-19, IoT System

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GPS-based fall detection system for old and specially-abled people

Sep 1, 2023

Journal Indonesian Journal of Electrical Engineering and Computer Science

publisher Mazin N. Farhan1, Mohammed G. Ayoub2, Ali Rakan Hasan Al-Jader

DOI 10.11591/ijeecs

Issue 3

Volume 31

Falls are a serious public health concern for older people across the world. Modern telemedicine now depends heavily on remote monitoring of older patients and the ability to spot threats to human health. If a fall is not assisted in time, it can significantly reduce an older person's mobility, independence, and his/her quality of life. Older people who experience post-traumatic problems or mortality frequently do so because of falls. As a result, preventing falls consequences or providing essential help on time may depend on the early identification of falls. In this article, we propose an internet of things (IoT) based system that makes use of low-power wireless sensor networks, smart devices and cloud computing to detect falls and track positions for older and specially-abled people. The tracking is done by sending links of positions from the proposed system every 15 seconds to a specified google drive. On the other hand, an alert message will be delivered to the caregiver whenever a fall is happened. Thus, a MPU-6050 sensor and NEO-6M global positioning system (GPS) module are used with ESP32 microcontroller for the aforementioned purposes. A pilot study with several protocols was carried out to validate the cost-effective proposed system and achieved good results.

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Innovative Non-Invasive Blood Sugar Level Monitoring for Diabetes Using UWB Sensor

Oct 1, 2022

Journal JOURNAL OF OPTOELECTRONICS LASER

publisher Marwa Mawfaq Mohamedsheet Al-Hatab*1, Mohammad Abid Al-Hashim2,MaanAhamed Fadhil3, AL-Jadir Ali R. Hasan4 & Tahani Ghanim Al-Sultan5

DOI 10050086.2022.04.50

Issue 4

Volume 41

Globally, hundred millions of person are affected of diabetes, whether Type-1-or Type-2-, affects people all over the world, and diabetes is a leading cause of mortality in many nations. Regular the level of sugar in the blood in both types assist to reduce the danger of diabetes hyperglycemia (blood sugar levels > 200 mg/dL) or hypoglycemia (blood sugar levels < 70 mg/dL) problems, for example, Kidney failure, heart problems, blindness, and even death are all possibilities. They need frequently check the sugar level of blood in a day. This is one of the most crucial challenges that diabetics often face to take a blood sample and measure the sugar level daily. Numerous non-invasive methods have been proposed to solve this problem. Most previous articles are inaccuracy and most of these studies independent on blood directly. The objectives of this research are to design and implement a prototype of a wearable (UWB) non-invasive system that can prevent infections with low cost and low complexity, to minimize the error in readings of patients when they use invasive or non-invasive ways to improve the lifestyle and To find a certain technique that can be used in vast field with the patient himself at any time. The proposed UWB has been achieved an integrated easy, flexible, wearable and good accuracy. The UWB outperformed previously implemented systems shown in earlier works, both in terms of easy to use and low cost.

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Ultrasound Elasticity Imaging Based Multilevel Estimation Using Radiofrequency Data

Dec 16, 2020 - Dec 17, 2020

Publisher IOP Conference Series: Materials Science and Engineering

DOI 10.1088/1757-899X/745/1/012105

Country Iraq

Location Middle Technical University

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On Ultrasound Elasticity Imaging: Investigation of Correlation Window Length for Breast Phantom Inclusion Differentiation Using Ultrasound Radiofrequency Data

Jun 26, 2019 - Jun 27, 2019

Publisher MEMSA

Country Iraq

Location Baghdad

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