Create README.md

README.md

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+---
+license: mit
+language:
+  - en
+tags:
+  - ecg
+  - arrhythmia
+  - healthcare
+  - time-series
+  - biosignal
+---
+
+# ECG Arrhythmia Dataset — MIT-BIH Processed
+
+Preprocessed beat segments derived from the MIT-BIH Arrhythmia Database (PhysioNet).
+
+## Contents
+
+| File | Description |
+|---|---|
+| X.npy | Beat segments — shape (N, 180), float32 |
+| y.npy | Encoded labels — integers 0-4 |
+| y_raw.npy | Raw string labels — N, L, R, V, A |
+
+## Classes
+
+| Label | Class | Description |
+|---|---|---|
+| 0 | N | Normal sinus rhythm |
+| 1 | L | Left bundle branch block |
+| 2 | R | Right bundle branch block |
+| 3 | V | Premature ventricular contraction |
+| 4 | A | Atrial premature contraction |
+
+## Source
+Raw data from [MIT-BIH Arrhythmia Database](https://physionet.org/content/mitdb/1.0.0/).  
+Preprocessing: bandpass filter (0.5–50 Hz) + z-score normalization + 180-sample windowing.
+
+## Related
+- [Model](https://huggingface.co/dheerajthuvara/ecg-arrhythmia-detection)
+- [GitHub](https://github.com/dheerajthuvara/ecg-arrhythmia-detection)
+- [Portfolio](https://dtlabs.me)