ValveCare: A Fuzzy Based Intelligent Model for Predicting Heart Diseases Using Arduino Based IoT Infrastructure
| Autor: | Kaustabh Ganguly, Amiya Karmakar, Partha Sarathi Banerjee |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Medical diagnostic
Data collection Computer science business.industry Inference 02 engineering and technology Machine learning computer.software_genre Fuzzy logic Smartwatch Microcontroller 020204 information systems Arduino 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Internet of Things business computer |
| Zdroj: | Communications in Computer and Information Science ISBN: 9783030755287 CICBA |
| Popis: | IoT-based portable medical diagnostic tools like smartwatches, health monitors, etc. are extensively used for real-time data collection and monitoring. There are a plethora of options available for tech stacks to be used and open source frameworks for managing a complete internet of things system. Recognizing the pattern of fluctuation of medical data and making a decision on the probability of disease before the onset of any symptom, puts forth a big challenge for the medical practitioners. We propose our model ValveCare which leverages the power of machine learning to find patterns in the data for finding thresholds of optimal values of each parameter and use those thresholds to predict with a certain probability whether a subject is going to have cardiovascular diseases (CVD) in near future. We have opted to use fuzzy logic to find the probability of chances of CVD of the user directly in an android app. ValveCare uses an Arduino based microcontroller to take the heart rate of a subject through a pulse sensor, and temperature through a temperature sensor. The Arduino is linked with our ValveCare app where the user inputs other details like total cholesterol levels, age, and other relevant parameters and our model computes and shows the inference instantly in the app with the likelihood of the subject having CVD in the future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|