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YSA Signal - Standalone signal analyzer for .brw/.h5 files

Project description

YSA Signal

Standalone signal analyzer for downsampled .brw files

YSA Signal processes MEA recordings from downsampled .brw files, detects seizures and status epilepticus events, and saves the results in a compact HDF5 format. Mac only for now.

Installation

pip install ysa-signal

Usage

GUI Mode

ysa-signal

The GUI provides two tabs:

  • Process Files: Select input files, optionally enable seizure analysis, and save processed data
  • View Signals: Load processed files and view signals in an interactive 64x64 channel grid

CLI Mode

# Process without analysis (faster)
ysa-signal input.brw output_processed.h5

# Process with seizure analysis
ysa-signal input.brw output_processed.h5 --do-analysis

Python API

from ysa_signal import process_and_store, save_processed_data, load_processed_data

# Read in downsampled .brw file, process it, and store the results in memory (not on disk on a file)
processed_data = process_and_store('/path/to/file.brw', do_analysis=True)

# Save the processed data to an h5 file (on disk on a file you specify)
save_processed_data(processed_data, '/path/to/file_processed.h5')

# With already processed data saved to an h5 file, you can load it back into memory
loaded_data = load_processed_data('/path/to/file_processed.h5')

# Example: Accessing data for a specific channel (row, col)
row = loaded_data.active_channels[0][0]
col = loaded_data.active_channels[0][1]

# Access the signal and seizure times for the specified channel
channel_data = loaded_data.data[row - 1, col - 1]
signal = channel_data['signal']
sz_times = channel_data['SzTimes']

Batch Processing Example

from ysa_signal import process_and_store, save_processed_data
import glob

for brw_file in glob.glob('data/*.brw'):
    output_file = brw_file.replace('.brw', '_processed.h5')
    processed_data = process_and_store(brw_file, do_analysis=True)
    save_processed_data(processed_data, output_file)

Support

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