Trigno Format¶

The Delsys Trigno wireless EMG system exports data in a CSV format. This page describes the format and how EMGIO works with it.

Format Description¶

Trigno CSV files typically have the following structure:

A header section with metadata
A data section with columns for each channel
EMG and accelerometer data in separate columns

Example File Structure¶

# Trigno Data File
# Date: 2023-05-01
# Time: 10:30:00
# Device: Trigno Wireless System
# ...additional metadata...

Time(s),EMG1,EMG2,EMG3,EMG4,ACC1_X,ACC1_Y,ACC1_Z,...
0.000,0.01,0.02,0.03,0.04,0.1,0.2,0.3,...
0.001,0.02,0.03,0.04,0.05,0.1,0.2,0.3,...
0.002,0.03,0.04,0.05,0.06,0.1,0.2,0.3,...

Channel Types¶

EMGIO recognizes the following channel types in Trigno CSV files:

EMG - Electromyography channels (typically in μV or mV)
ACC - Accelerometer channels (typically in g)

Importer Implementation¶

The Trigno importer in EMGIO (emgio.importers.trigno) processes these files by:

Reading the header section to extract metadata
Parsing the data section as a pandas DataFrame
Identifying channel types based on naming conventions
Setting appropriate units and sampling frequencies for each channel

Code Example¶

from emgio import EMG

# Load data from Trigno CSV file
emg = EMG.from_file('data.csv', importer='trigno')

# Print identified channel types
channel_types = emg.get_channel_types()
print(f"Identified channel types: {channel_types}")

# Get EMG channels
emg_channels = emg.get_channels_by_type('EMG')
print(f"EMG channels: {emg_channels}")

# Get accelerometer channels
acc_channels = emg.get_channels_by_type('ACC')
print(f"ACC channels: {acc_channels}")

Notes and Limitations¶

Trigno systems can have different sampling rates for EMG and accelerometer channels
The importer automatically detects the sampling rate from the time column
Column names may vary between different Trigno system versions
Some metadata may be missing depending on the export settings