A Brief Overview of Synthetic Data Synthetic data is information that is artificially generated by computer algorithms rather than collected from real-world events or individuals. While it contains no real personal records, it accurately mimics the mathematical patterns, distributions, and correlations of the original dataset. In the context of machine learning, this is typically achieved using generative AI techniques. For example, instead of relying on a database of highly

Introduction In my previous blog post, I discussed the input data for the LSTMVAE model, which comes from the publicly available PTB-XL...

Introduction In this post, I explore a custom LSTM-based Variational Autoencoder (LSTMVAE) designed for sequential representation...

Electrocardiogram (ECG) data is essential for assessing heart health. In data science and engineering, particularly when developing AI...

This blog post begins with a playful analogy to the scientific paper by King and Welling [1], likening to a friend who studies your...

Electrocardiogram (ECG) signals are pivotal in diagnosing cardiovascular conditions, as they provide critical insights into the heart's...