9 datasets found

The Computing in Cardiology (CinC) dataset contains pairs of measured ECG signals along with associated cardiovascular condition labels.

The dataset used in the paper is a collection of ECG signals, specifically Diabetes Complications Research Initiative (DCRI) data.

The dataset used in the paper is a collection of electrocardiogram (ECG) signals, specifically RR-interval framed ECG data.

Artificial intelligence for the electrocardiogram

ECG-based biometric authentication for wearable devices

ECG-based authentication system using regression as a machine learning technique

ECG signals are vital for monitoring the heart's electrical activity, offering insights into cardiac health and identifying various heart conditions.

A dataset of segmented time-series ECG signals for obstructive sleep apnea detection using a one-dimensional convolutional neural network.

The MIT-BIH dataset contains 48 hours of two-channel ambulatory ECG signals obtained from 47 subjects.