Browsing by Author "Sinnapolu, Giribabu"

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    HEAR Device for Electrical Activity of The Heart: Computation Towards Cardiovascular Diseases Using Novel Comma-Z Classifier and GPU for Automotive
    (2022-03-21) Sinnapolu, Giribabu; Alawneh, Shadi Dr; Ganesan, Dr. SubramaniamSuzan; Simon R Dixon MD; Saraydar, Dr. Cem U
    The silent heart attack which is also known as silent myocardial infarction occurs in almost 45% of the heart attacks and strikes men more than women. Women have less tendency to get sudden heart attack or heart failure or arrhythmias due to the menstrual cycle hormone released by their bodies until certain age. However, studies also show that higher risk of cardiovascular events are found both in men and women. During the phase of myocardial infarction patients develop Ventricular Fibrillations or rapid Atrial Fibrillations which may lead to the risk of death in a short period of time. Covid-19 also induces arrhythmias and myocardial injury and acute coronary syndrome. The average time spent by a person behind the wheel is approximately 1 hour on an everyday basis for a 30 miles drive. The Driver and Vehicle agency promotes that a driver with heart arrhythmias require approval from medical professionals to drive and based on today’s estimation most of the drivers are likely to get into an emergency or accident or collision due to Cardiac Stress, Hypertension, Cardiomyopathy, or complications after Angioplasty. There is a tremendous increase worldwide for wearables devices ranging from 325 million in 2016 to 929 million by 2021 and now 1 in every 6 Americans are using a wearable device, automakers are trying methods that involve measuring heart data via seat sensors and steering wheel sensors. Finally, my contribution in this research comprises of inventing a circular earlobe device (HEAR) placed to the earlobe that sends enormous amount of heart related photoplethysmography (PPG) data to the in-vehicle GPU device and invented a method to observe, compute, analyze, predict, and study AF and VF arrhythmias along with NSR using novel COMMA-Z filter, Signal Differentiation and DFS filters while driving. Such a sensitive work requires thorough communication and discussion with medical professionals for correctness of final heart computed data so based on the various experiments and clinical trials conducted this research was extensively supported by well-known surgeons from Beaumont hospitals, Michigan. The HEAR device also helps in long term monitoring and study of AF and VF tachycardias and related heart conditions because it’s all about timing for heart conditions and diseases as these tachycardias may lead to occurrence of ischemic stroke and cardiac arrest and complete heart failure and other dangerous conditions.