Team Oryx

According to the Global Burden of Diseases (GBD) study conducted in 2019, the total number of cardiovascular cases has doubled, and death-related cardiovascular diseases have increased by 50 % globally in the last three decades. There are multiple reasons for heart and cardiovascular diseases which include genetic disorders, lifestyle issues, accidents etc. Heart attack or myocardial infection is one of the common acute heart conditions which occurs when the heart muscles do not get enough blood. Heart attack can lead to the death of individuals if proper treatment is not taken at that instant. ECG (electrocardiogram) is used to monitor the heart rhythm and it can often detect the existence of heart diseases, heart attack, or abnormal heart rhythms. This work proposes a smart wearable band for the detection of heart abnormalities including heart attacks using ECG signals. Immediate intervention after a prediction can save a patient at risk. Real-time monitoring can enable ambulance services to be notified and customized medications can be administered, saving a life and mitigating any collateral damage that may come with it such as road accidents, falls, etc. Links: Proposal: https://qucloud-my.sharepoint.com/:w:/g/personal/ba1901053_qu_edu_qa/ESgcMN2jholMlmFSWM0HGN8BZ5rOkGrYT9C3G2WW7qdYbw?e=YQM4yh Video : https://youtu.be/UvkY6pkOG4k

Raseena Haris : PhD student at Qatar University - She received her Master of Technology (M. Tech) in Computer Science and engineering from Calicut University, Kerala, India, and Bachelor of Technology (B. Tech) in Computer Science and Engineering from Mahatma Gandhi University, Kottayam, India. She is currently pursuing a Ph.D. degree with the Department of Computer Science and Engineering, Qatar University. She worked as a software engineer, programmer, and lecturer. She is currently a Graduate Teaching and Research Assistant at Qatar University. Her research interests include cloud computing, virtualization, moving target defense mechanisms, machine learning, and live virtual machine migration. Jayakanth Kunhoth : PhD student at Qatar University. - Research assistant in the Department of Computer Science and Engineering at Qatar university. He received his bachelor’s degree in computer science and engineering from Cochin university of science and technology in 2016 and master’s degree in computer science and information security from Manipal Institute of technology (MAHE) in 2019. His research interest includes image processing, computer vision, machine learning and information security. He has published his research articles in international journals and conferences. Bajeela Aejas : PhD student at Qatar University - Bajeela Aejas is a PhD candidate and Research assistant in the Department of Computer Science and Engineering at Qatar university. She received her bachelor’s degree in information technology from Calicut University in 2006 and Master of Technology in Computer Science and Engineering from APJ Abdul Kalam Technological University, Kerala in 2017. Her research area is Natural Language Processing. She has published her research articles in international journals and conferences. Najmath Ottakath : Master student at Qatar University - Received her Bachelor of Technology in Electronics and Communications Engineering from Calicut University. She is currently working as a Research assistant in projects related to Computer Vision and Blockchain.