our project is hardware base heart disease detection, it works like its name. we have a circuit designed that takes ECG as input signals and a mobile app that will predict the results; whether you have heart disease or not. we are initially working on the prediction but not the analysis.
Hardware base heart disease detection on Android app
our project is hardware base heart disease detection, it works like its name. we have a circuit designed that takes ECG as input signals and a mobile app that will predict the results; whether you have heart disease or not. we are initially working on the prediction but not the analysis.
our objective is to save as many people as possible because heart attacks are one of the most common causes of death. according to WHO out of every 10 people 7 dies from a heart attack. So, to prevent this, we have introduced our work.
our work will save many lives. it will predict whether a person has heart disease or not.
our work consist of the following methods:
1. Hardware: components used are ESP32, Arduino, and AD8232 heartbeat detector. for integration, we have used the Arduino IDE platform. this is the very initial step that will collect your ECG as EKG signals consisting of 10 seconds.
2. Software: this method is the analysis phase, as the ECG collected through hardware will be integrated into the mobile app and our database will match the data and give the results as per required. this will be an early detection to prevent the critical condition.
day by day our world is moving towards technologies and data sciences. our covers both the areas, as well as, a solution to the global health problem such as heart attacks. our work will bring a revolution to the world and more people will be saved.
our project is efficient yet cheap and is easily accessible for poor people as well, thus more and more lives will be saved from this and it will create awareness of heart attacks and early first-aid for the uneducated people as well.
our final deliverable will consist of; a hardware device, a mobile application, and a web app. our hardware will collect the ECG of 10 seconds, which will be integrated into mobile and web apps through the database, the mobile application will analyze and show the predicted results, whereas our website is to handle all report related and database management work.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino | Equipment | 2 | 1600 | 3200 |
| esp32 | Equipment | 1 | 1500 | 1500 |
| AD8232 | Equipment | 2 | 2000 | 4000 |
| ECG electrodes | Equipment | 14 | 10 | 140 |
| Total in (Rs) | 8840 |
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