Analyzing Brain Wave Signals with the BrainWaveAnalysis Class

The BrainWaveAnalysis R6 class in R is designed to analyze and visualize brain wave signal data from CSV files. Follow the steps below to use this class in your workflow.

Prerequisites

• Ensure the following R libraries are installed before using the class: install.packages(c("R6", "tidyverse", "readr", "janitor", "stringr"))

File Structure

• Place your CSV files in the directory:
* /Avatar/plots/plot_waves/brainwaves-csv/backward
• The CSV files should contain columns with brainwave signal data, including sample_index and exg columns for each channel.

Define the Class

• Use the provided R script to define the BrainWaveAnalysis class in your R environment. Copy and paste the code from the repository.

Initialize the Class:

• Create an instance of the BrainWaveAnalysis class by specifying the directory path containing the CSV files: analysis <- BrainWaveAnalysis$new("/Avatar/plots/plot_waves/brainwaves-csv/backward")

Methods Overview: The class performs the following steps automatically

• Data Cleaning: Cleans column names using the janitor library.
• Data Reshaping: Converts wide-format data into long-format for easier processing.
• Data Binning: Groups data into bins for improved visualization.
• Subset Selection: Selects every 120th row for efficient plotting.
• Model Fitting: Fits a polynomial model to the data.
• Prediction: Generates fitted values using the model.
• Plotting: Visualizes the raw and fitted data with ggplot2.

Run the Analysis

• After initializing the class, the analysis will run automatically, generating a plot of the brain wave signals.

Plot Interaction

• The generated plot will open in a new graphics device.
• To close the plot, press Enter in the R console.

How to Integrate R and Python for BrainWaveAnalysis

Prerequisites

• Install rpy2 in your Python environment **pip install rpy2 **
• Ensure that R is installed on your system and added to your PATH.
• Verify that the required R libraries (R6, tidyverse, readr, janitor, stringr) are installed in your R environment: install.packages(c("R6", "tidyverse", "readr", "janitor", "stringr"))
• File Paths
• R Script Path: **/Avatar/plots/backward(file).R **
• Brainwave CSV Directory: /Avatar/plots/plot_waves/brainwaves-csv/backward(backwardreadings)

Load and Execute an R Script:

• The Python script uses rpy2 to execute an R script located at /Avatar/plots/filename.R, which defines the BrainWaveAnalysis class.

Access R6 Class from R:

• After executing the R script, the BrainWaveAnalysis class becomes accessible in Python through robjects.globalenv.

Initialize the Class:

• A new instance of the BrainWaveAnalysis class is created, with the directory containing brainwave CSV files (/Avatar/plots/plot_waves/brainwaves-csv/readingfolder) passed as an argument.

Call a Method:

• The script invokes the plot_data() method on the BrainWaveAnalysis object. This generates a visualization of the brainwave signals.

Handle Errors:

• The code uses try-except blocks to catch and report issues that might arise when:
• Executing the R script.
• Accessing the class.
• Initializing the class.
• Calling its methods.

Please find the Demo