EEG and ECG Data Processed with MATLAB

The EEG (electroencephalogram) and ECG (electrocardiogram) data have been preprocessed using MATLAB, allowing for direct utilization through the load function. The load function serves as an efficient tool for importing data into the MATLAB workspace, facilitating subsequent analysis and processing. By employing load, researchers can seamlessly access and manipulate these preprocessed physiological signals to investigate underlying biological patterns and characteristics. This approach eliminates the need for additional data preparation steps, as the datasets are already formatted in MATLAB-compatible .mat files containing organized variables such as time-series signals, sampling rates, and channel information. The implementation typically involves simple syntax like "data = load('filename.mat')" which imports all variables from the saved file, or selective loading using "data = load('filename.mat', 'specific_variable')" to conserve memory. This streamlined workflow significantly enhances research efficiency in biomedical signal processing applications.