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ben120-web / MSc-Project

This repository will contain the codebase used to develop various models to remove electrode motion noise from ECG signals using learning models.
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Transform raw data (clean and noisy signals) into a more readable format for models #15

Closed ben120-web closed 3 months ago

ben120-web commented 4 months ago

Best Formats to Save and Load Data HDF5 (.h5 or .hdf5):

Advantages: HDF5 is a versatile data model that can represent complex data objects and a wide variety of metadata. It supports efficient storage and access, making it ideal for large datasets. Libraries: h5py in Python can be used to read and write HDF5 files. CSV (.csv):

Advantages: CSV files are simple and easy to understand. They are widely used and supported by many tools and libraries. Libraries: pandas in Python provides easy-to-use functions to read and write CSV files. NumPy (.npy or .npz):

Advantages: NumPy binary files are simple and efficient for storing large arrays of numerical data. The .npz format can store multiple arrays in a single file. Libraries: numpy in Python provides functions to save and load .npy and .npz files.

ben120-web commented 3 months ago

Deleting branch. Data is complex and nested, it is easier to read these directly into Python using scipy.