Graduated from Ajman University in 2019 with Excellence with Honors. Currently, working as an Assistant Instructor in the college of Engineering and Information Technology (CEIT) at Ajman University, where I teach various courses to 2nd, 3rd, and 4th year students. Additionally, working as the Schedule Coordinator for Electrical/Computer courses and assisting in organizing events and competitions for all students in the college of engineering and information technology (CEIT)
Paralysis is the loss of muscle functions in any part of the body at any age and can be temporary or permanent. Many times, temporary paralysis can be treated by physical therapy without using high potency drugs. In this paper, a smart and innovative system is proposed and developed to help bell's palsy patients with temporary facial paralysis, by automating the physiotherapy at the comfort of patients' home using a 3D printed design. The proposed prototype performs the facial physiotherapy, as prescribed by the physiotherapist using a smartphone application. Furthermore, a smart app is also proposed and presented in this paper to perform intelligent face mapping, data-logging and progression functions for the patients to visualize improvements in their health conditions.
Thyroid Stimulating Hormone (TSH) levels produced by the thyroid gland control various crucial bodily functions. It is important to monitor and control the production level of TSH in a human body. State-Of-The-Art (SOTA) focused on the detection of TSH levels, but the focus was on the functionality only rather than patient’s comfort, convenience or cost. In this research, we propose a non-invasive method of collecting and monitoring patient data associated with symptoms of TSH at the comfort and convenience of the patient with minimal cost. This helps primary diagnoses of the potential patient based on a probabilistic outcome of the proposed algorithm. Four main symptoms are prominent in most cases of abnormal levels of TSH, excessive sweating/dry skin, irregular heart rate, neck swelling and weight change. This paper proposes a framework for the primary diagnosis of TSH by monitoring the most common symptoms, such as response from (1) galvanic skin sensor for the detection of sweat/dry skin, (2) heart rate sensor, (3) image processing module for the swollen neck and, (4) a questionnaire to know of any sudden weight changes of the patient. The proposed system has been developed and tested on patients and obtained promising preliminary results.