Edge Impulse Inc. / PhysioNet ECG Dataset - FFT
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About this project
(download from https://github.com/mathworks/physionet_ECG_data/blob/master/ECGData.zip) which contains a set of ECG measurements of healthy persons (indicated as Normal sinus rhythm, NSR) and persons with either an arrhythmia (ARR) or a congestive heart failure (CHF). This dataset contains 96 ARR measurements, 36 NSR measurements and 30 CHF measurements.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| FFT training data | NPY file | 4814 windows | |
| FFT training labels | NPY file | 4814 windows | |
| FFT testing data | NPY file | 1147 windows | |
| FFT testing labels | NPY file | 1147 windows | |
| Classifier (FFT) model | TensorFlow Lite (float32) | 25 KB | |
| Classifier (FFT) model | TensorFlow Lite (int8 quantized) | 9 KB | |
| Classifier (FFT) model | TensorFlow SavedModel | 30 KB | |
| Classifier (FFT) model | Keras h5 model | 24 KB |
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Summary
Data collected
5h 52m 4sProject info
| Project ID | 203420 |
| Project version | 1 |
| License | Apache 2.0 |
