Best Ideas 2019 features all the nominated entries submitted under ‘Submit your Idea’ category. All the entries consist of innovative solutions or propositions for an enterprise that champions the Sustainable Development Goals. They can be on the conceptual, planning, or start-up stage.
Deep learning in EKG: Can artificial intelligence diagnose cardiac arrhythmias?
Explain your idea in details:
175 million is the number of people in the world that suffers from a cardiac condition called Atrial Fibrillation (AF). Ultimately, the number of deaths related to AF is higher in developing countries, being the most common arrhythmia diagnosed in clinical practice, according to the Journal of geriatric cardiology. Our aim is to identify through morphological attributes a series of rhythm disturbances and conduction of electric impulses that lead to the early diagnose of AF at a low-cost. We wish to use deep learning and graphical methods to assess whether it improves the performance of atrial fibrillation classifiers on electrocardiogram (EKG) signals to implement this technology in remote areas of the globe where the lack of cardiologists results in alarming death rates. AF is a serious condition that can occur without any signs or symptoms but can result in life-threatening complications if left untreated. That being said we propose a way to verify if the use of the referred attributes extracted from graphic methods of ECG signals improves the performance of classifiers based on convolutional neural networks to diagnose AF when compared to cardiologists.
Expected impact of your idea on sustainable development
people over the age of 40 have a one in four chance of developing Atrial Fibrillation(AF) in their lifetime. Thus, the importance of an efective diagnosis. Nearly 35 percent of all AF patients will have a stroke at some time and according to a recent American Heart Association survey, only half of AF patients understand that they have an increased risk of stroke. The most concerning part is that AF can be undetected as some patients dont have symptoms and some may only have them once in a while. In other words: Patients may go undiagnosed.. It is also a fact that the quicker the treatment is, the greater the chance AF can be stopped, which means that the use of our proposed tool in these patients can lead to an early diagnose and treatment. Not only that, it would reduce the hospital costs because less comorbidities of an advanced stage disease are expected to be treated.
Plans for implementation and sustainability
Since it is a low cost method for diagnose, the electrocardiogram(EKG) is available in most tertiary hospitals worldwide. We propose a software development that can be used alongside the EKG. Which means that our expected implementation cost is effectively low. There are several studies that have shown that the remote EKG service is cost-effective. An example is the technical report of the Canadian Agency for Drugs and Technologies in Health, in which the authors concluded that tele-electrocardiography services have interesting advantages such as: saving time and resources associated with patient movements, reducing unit costs with the increase of the number of users, reduction of the waiting time for the procedure and there are no differences of quality in relation to the attendance attendance. Analogously we intend to develop a tool that can be simply used by professionals in remote areas. and easily managed by local physicians.
My name is Joao Brainer, I am a 22-years-old, 4th year medical student in Brazil, to be precise, in a city called Recife where breathtaking beaches and yearlong summers contrast with extreme poverty and violence. With that in mind, I decided to become a doctor, to stand up for those who needed the most. Upon entering med school, for my work regarding mental health focusing on Patient Based Care, I was honored with the Ascona Prize, given by the international Balint federation to select medical students in the word, being the first in my country to achieve such award. Since then, I dedicate my time to develop innovative ideas to raise awareness of public health and at the same time create strategies to support the sustainable development of medicine. One of my field of study areas is Virtual Reality, in which we develop cost effective strategies in medicine. I also works as a Scholarship researcher at FIOCRUZ research institute, where my field of study is the ZIKA virus and its repercussion to public health. In 2016 I founded the Imaging diagnosis and Interventional Radiology Academic League (LADIR) in which I holds the position of Vice president. In the same year I contributed to the Brazilian code of ethics for medical students compiled by the CFM- Federal Council of Medicine. Concerned about the public education in my country, I Volunteered in social projects whose objective is to bring joy for sick infants at the university hospital as well as their social inclusion. Just Recently, I became the state Director of the ABLAM- Brazilian Association of Academic Leagues, aiming at the scientific development and enhancement of the medical art. Alongside prizes earned I also published several papers in scientific journals.