Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 14 | ECG Shirt Honorable Mention |
Pakhi Gupta Pooja Bhagchandani Ruthvik Reddy Kadiri |
Josephine Melia | design_document2.pdf final_paper1.pdf other1.png other2.png presentation1.pdf proposal1.pdf |
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| Ruthvik Reddy Kadiri (rkadiri2), Pakhi Gupta (pakhig2), Pooja Bhagchandani (pkb2) Problem Cardiovascular disease is currently the leading cause of death in the world, with myocardial infarctions being one of the most common types of this disease. Myocardial infarctions are often treatable when diagnosed quickly; however, symptoms of a myocardial infarction are not always detectable and thus, treatment may be delayed. Around 15 million people around the world die from heart attacks each year and over 1/3 of those who experience a heart attack do not experience the most common warning signs. The first test done to diagnose any past or present myocardial infarctions is an Electrocardiogram, or ECG. The ECG can often detect a heart attack earlier than blood tests for heart damage, which can take 4+ hours to indicate damage to the heart. The increased accessibility of ECGs to the public can increase the detection of heart attacks and decrease the fatality of these events. Solution Our proposed solution to increase public accessibility to ECGs is to design a low-cost t-shirt that contains a long-term wearable standard 12 lead ECG and transmits data to a health-app as well as alerts emergency responders when a myocardial infarction is detected. This t-shirt can be worn at any time and will be particularly useful to populations at risk for myocardial infarction. While t-shirts of this design are already available in the market, their high cost prevents access to most of the at-risk patient populations. Additionally, the high expense of the pre-existing shirt on the market limits the number of shirts patients can purchase and use daily. Other ECG wearables, such as the Apple Watch, only measure 1 lead and are therefore unable to reliably detect heart attacks. An additional challenge that long-term ECG wearables continue to face is motion artifacts. We hope to design a low cost 10 lead ECG t-shirt which can be created into a variety of t-shirt designs and is, thus, accessible to everyone and can be used in everyday activities. Solution Components 1. ECG Shirt - Mode of delivery: machine washable t-shirt that is tight fit to minimize noise - Sensors: adhesive gel electrodes inside the t-shirt that will be covered by another layer of material so that they do not stick to the body - Signal: we will need to increase the amplitude of our signal for clearer readability and to do this we will include a differential amplifier - Noise solution: using a filter such as an LPF or a buffer amplifier to eliminate high frequency sound and reduce noise from mechanical functions of the body and environment that do not need to be considered when reading a heartbeat - Filter: we will need to get rid of certain signals from the power source that could be causing interference, for this we will use a notch filter that can eliminate a specific frequency - Communication to app: Bluetooth or IoT to connect the ECG shirt to the app so that we can update in real-time 2. Analysis of ECG Signal - ECG signal input waves can be read and analyzed using specific machine learning models. We will use the appropriate measurements and thresholds that would correspond to interpreting the wave as a heart attack or risk of heart attack. 3. User Interface for Viewing ECG Data - Creating the front-end of the app using React Native and connecting the backend to the output of our data analysis model. Therefore, our UI will showcase the ECG wave and will update as often as we specify. Criteria for Success - Fitted design that will decrease background noise and deliver accurate data - Creation of an app to alert patient as well as first responders - We would envision that this app has the capability letting the patient decide if first responders should be alerted in case of an emergency or if the patient’s Primary Care Physician should be alerted - Patient health information transmitted to their primary care physician |
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