This project applies the K-Means clustering algorithm to an ECG dataset to identify different groups or categories of ECG signals. The code uses Python and various popular data science libraries. The ...

Developed using data ... ECG models are rarely utilized in real-world ECG applications. “Existing mortality prediction models are limited by predicting survival at one or a small number of set ...

In the MATLAB platform, the ECG signal collected from the microcontroller is processed and features are extracted for the disease prediction. The AI model is trained in the MATLAB platform using a ...

Since 2020, a few studies have attempted to use ECG-data-trained artificial intelligence (AI) models to predict patients' CVD and mortality risk, highlighting model performance: in almost every ...

The purpose of this study was to evaluate whether the 12-lead ECG could be substituted by ECG sets with a limited number ... was evaluated in data from 28 patients with anasarca (AN), 28 control ...

MDU Construction Services Group, Inc. specializes in constructing and maintaining electric and communication lines. It provides a full spectrum of construction solutions, from underground ...

I'm trying to configure my ads1298 for plotting ECG ... data in both cases I'd like to use internal generated signal write_register(CONFIG3, 0xCE); // And the same question, I'd like to use RLD pin ...

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International ...

There has been a lot of talk in the last couple of years about ‘re-shoring,’ that is, rebuilding US industrial and manufacturing capacity.

Icons to use in GitHub profile.

Ambulatory electrocardiographic (ECG) monitoring is used to help medical professionals diagnose intermittent cardiac arrhythmias that occur only infrequently and unpredictably. Such arrhythmias often ...