Abstract
In order to detect heart disease, electrocardiogram (ECG) equipment plays a critical role. However, the expense of this is immense and the process is so complicated that a large population does not offer these services. So by using low-cost ECG with ESP32 module can check the heart monitoring. In this project, ESP32 module and AD8232 ECG sensor module were used without using Arduino board. Using ESP32 module can check the heart monitoring through online from anywhere or anyplace in this world. Ubidots platform is best IoT platform to connect the things and visualize the data. Ubidots have wide number of knowledge visualizing options, and it is an attention grabbing user-friendly interface. Signup by providing all the required details. After installing the required libraries in Arduino IDE, connect the ESP32 module to computer/laptop to upload the program. After successfully uploading in open serial monitor, on the serial monitor, we will see our ESP32 successfully connected to the programmed Wi-Fi and allocated with IP address. Then, it initiated MQTT connection with Ubidot cloud and connected to it. Then, it started publishing ECG data alongside a time stamp. Each data packet contains a variable label and 4 precise time-stamp data points. You can see the live Electrocardiogram on the Ubidots dashboardor platform. Ubidots will receive data from our ESP32 Module and plot the variable on the graph with provided Epoch Timestamp. Since we are sending data with timestamp, there will be no delay due to server latency on the graph. This helps to plot an exact electrocardiogram for Ubidots. So, now anybody from anywhere within the world can monitor the actual person’s heart by just logging into this Ubidots Platform.
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Vamseekrishna, A., Siva Ganga Prasad, M., Gopi Krishna, P., Bhargavi, P., Rohit, S., Tanmayi, B. (2023). Low-Cost ECG-Based Heart Monitoring System with Ubidots Platform. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_12
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DOI: https://doi.org/10.1007/978-981-19-1484-3_12
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