Publications
Estimating risk levels for blood pressure and thyroid hormone using artificial intelligence methods
Jul 25, 2024Journal International Journal of Electronics and Telecommunications
Publisher Musab T.S. Al-Kaltakchi; Raid Rafi Omar Al-Nima; Azza Alhialy
DOI 10.24425/ijet.2024.149595
Issue 2300-1933
Volume 2081-8491
In this work, artificial intelligence methods are designed and adopted for evaluating various risk levels of thyroid hormone and blood pressure in humans. Fuzzy Logic (FL) method is firstly exploited to provide the risk levels. Additionally, a machine learning was proposed using the Adaptive Neuron-Fuzzy Inference System (ANFIS) to learn and assess the risk levels by fusing a multiple-layer Neural Network (NN) with the FL. The data are collected for standard risk levels from real medical centers. The results lead to well ANFIS design based on the FL, which can generate such interesting outcomes for predicting risk levels for thyroid hormone and blood pressure. Both proposed methods of the FL and ANFIS can be exploited for medical applications.
A new approach to develop biometric fingerprint using human right thumb fingernail
Jul 1, 2023Journal Indonesian Journal of Electrical Engineering and Computer Science
Publisher Tahani Ghanim Al-Sultan, Azza Alhialy, Warqaa Hashim Alkhaled, Zaid Husham Al-Sawaff, Fatma Kandemirl
DOI 10.11591/ijeecs.v31.i1.pp98-107
Issue 31
Volume 1
In this article, we analyzed the structure of human nails to develop a modern biometric authentication system based on the nail bed and finger lunula. The results of the studies on the collected images proved that each fingernail has distinctive characteristics in terms of the length and width of the nail and the lunula, even identical twins. We focused on the fingernail of the right thumb because of its large size and the accuracy and clarity of the nail. The mediation of the indicative points on the nail bed and on the lunula was used to form the pentagonal structure and use it as a region of interest. Then an ensemble independent component analysis, principal component analysis, haar wavelet, and scale invariant feature transformation, were used. Later we classified these algorithms using support vector machine and Naive Bayes techniques, the performance of each algorithm was analyzed by feature extraction with two classifiers. This study was conducted on 100 participants and showed that this new method could be used as a biometric identification system for humans. There was no similarity in results for all verified samples.
Design of an orthopedic smart splint using nickel-titanium shape memory alloy
Mar 1, 2023Journal Indonesian Journal of Electrical Engineering and Computer Science
Publisher Azza Alhialy, Warqaa H Alkhaled, Tahani G Al-Sultan, Zaid H Al-Sawaff, Fatma Kandimerli
DOI 10.11591/ijeecs.v29.i3.pp1300-1309
Issue 29
Volume 3
People with broken bones suffer from symptoms of muscular atrophy as a result of a lack of movement, so it was necessary to find effective solutions due to the relative pain they cause and the difficulty of movement after healing. In this paper, we proposed a smart splint made of nickel-titanium shape memory alloys (SMA) wires. These alloys have unique properties compared to other materials, the most important of which is maintaining the original shape during manufacturing at a certain temperature. Temperature, pressure, as well as humidity, were analyzed and monitored while the patient wore the splint to reach the best possible results by using a microcontroller. The results showed that there was a significant improvement for the muscles in a short time when using the proposed splint, as the percentage of qualified muscle recovery increased by more than 70% when using the usual splint. The wires used had an effective role in rehabilitating these muscles by performing a permanent local massage. due to the different diameters of these wires, a different response to temperature change was recorded.
New Biomedical Applications Approach using Shape Memory Polymers for Muscles Rehabilitation and the Accompanying Wounds after Severe Bone Fractures
Nov 28, 2022Journal international Journal on Recent and Innovation Trends in Computing and Communicationi
Publisher Warqaa Hashim, Tahani G Al-Sultan, Azza Alhialy, Zaid H Al-Sawaff, Fatma Kandimeril
DOI http://dx.doi.org/10.17762/ijritcc.v10i12.5838
Issue 10
Volume 12
This article introduces a new approach for modern applications of medical devices using shape memory polymers to aid in the rehabilitation of muscles and injuries attached to severe fractures. The group of heaters connected with the splint controls the temperature and humidity inside the affected area. Microcontrollers were attached to the polymer plate in order to directly control the required parameters and changes in addition to giving direct commands to the connected sensors. Because of the property of changing the outer shape of the polymer after being exposed to a certain temperature and returning to the normal shape after the removal of the external influence, the designed polymer plate applies light intermittent pressure on the wound area, muscles, and surrounding tissues, which helps to speed up the rehabilitation of these muscles, especially after She suffered from stiffness due to lack of movement during the period of treatment.
Study Axial Plane with Artificial Intelligence for the Purpose of Classifying Brain Tasks
Apr 21, 2022Journal Journal of Optoelectronics Laser
Publisher Entisar Y Abd Al-jabbar, Wameedh Raad Fathel, Maysaloon Abed Qasim, Mohammed Sami Noori, Azza Alhialy
Issue 41
Volume 4
The human brain serves as the nervous system's command center and controller. It controls many vital and functional processes in the human body. The functional MRI or functional Magnetic Resonance Imaging (fMRI) detects alterations in blood flow and uses that information to calculate brain activity. The three planes of fMRI are used to describe a human's anatomical position. The fundamental orientations are as follows: sagittal plane, often known as the longitudinal plane, splits the body into right and left halves; coronal plane is vertical plane that runs from side to side, separating the body or any of its parts into front and posterior halves, (is known as the frontal plane). axial plane or transverse plane (sometimes known as the horizontal plane or trans axial plane) separates the body into superior and inferior sections. In this article, we propose three tasks to identify pre-frontal, visual, and movement brain processes using a Deep Learning (DL) model called the Axial Plane Classification Model (APCM). The anatomic axial section in brain is a two-dimensional view of the aspect of the inferior section that is superior. This section is important to demonstrate a variety of unique than overlapping structures closely related and controlling the tasks of movement, vision and decision-making in brain deep. After extensive experiments, promising accuracies of 97% have successfully been obtained for APCM model.
Investigation of Cochlea Response Based Signal Processing
Mar 1, 2020Journal IOP Conference Series: Materials Science and Engineering
Publisher Azza Alhialy, Aws Alazawi, Mohammed Hussain, Maha Alobaidy
DOI 10.1088/1757-899x/745/1/012104
Issue 745
Volume 1
An efficiency of cochlea has a significant contribution in a quality of human hearing and in a language development of newborn. The efficiency of cochlea clinically measured using Distortion Product Otoacoustic Emission (DPOAE). The measurement mainly restricted by acoustic interferences that disrupt response estimation. The disrupted estimation gives rise to repetition in measurement for many times or probably inaccurate efficiency assessment. In this study, investigation of cochlea response estimation was considered based on signal processing (SP), which was regarded as preliminary step toward interference reduction. An in-vivo measurement was performed on a left ear of 36 years old female with normal hearing, where cochlea stimulation and response recording was conducted using personal computer sound card in conjunction of sensitive probe system of ER-10C. The response signals were recorded