Dataset: ECG MITBIH-BIDMC

About this Dataset

ECG MITBIH-BIDMC

-- A 3-Classes Dataset:

The normal sinus rhythm (NSR) class: MIT-BIH database
The arrhythmia (ARR) class: MIT-BIH database
The congestive heart failure (CHF) class: BIDMC database
Each class has 3930 vectors (extracted from 30 recordings)
A total of 11,790 feature vectors extracted out of the 90 recordings.
Each row in the file represents one sample of length 500.
The last value in each row (element 501) represents the respective calss (0, 1, or 2)

Check and cite the paper: https://www.mdpi.com/2682016
Eleyan, A.; Alboghbaish, E. Electrocardiogram Signals Classification Using Deep-Learning-Based Incorporated Convolutional Neural Network and Long Short-Term Memory Framework. Computers 2024, 13, 55. https://doi.org/10.3390/computers13020055

Tables

Ecg Segdata

@kaggle.alaaeleyan_ecg_mitbih_bidmc.ecg_segdata

38.14 MB
11789 rows
501 columns


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